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Aparna Parikh

Aparna Parikh

Pennsylvania State University · Korean

Active 1991–2026

h-index55
Citations13.5k
Papers33166 last 5y
Funding$1.6M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Aparna Parikh is a feminist urban geographer whose work focuses on gendered dimensions of urban environmental belonging in South Asian cities. Her ongoing projects in Mumbai include feminist investigations of indigenous urban worlds and housing challenges in light of authoritarian vegetarianism in India. She is involved in collaborative projects on urban climates and critical visual methods. Parikh’s research explores issues related to urban margins, gendered environments, and the politics of urban space, with a particular emphasis on Mumbai, India. Her work has been published in various academic journals including Gender, Place and Culture, cultural geographies, ACME: An International Journal for Critical Geographies, Environment and Planning C, GeoHumanities, and Environment and Planning D. She has also contributed chapters to edited volumes such as The Routledge Companion to Modernity, Space and Gender, and Suffragette City: Women, Politics, and the Built Environment.

Research topics

  • Thermodynamics
  • Biochemistry
  • Biology
  • Chemistry
  • Biophysics
  • Materials science
  • Organic chemistry

Selected publications

  • Topography-Driven Shape, Spread, and Retention of Leaf Surface Water Impacts Microbial Dispersion and Activity in the Phyllosphere

    Phytobiomes Journal · 2020-01-01 · 67 citations

    articleOpen access

    To study the impact of lateral variation in surface topography on the microbial colonization of plant leaves, we used a two-step casting process to generate topomimetic “replicasts” in polydimethylsiloxane which faithfully resembled leaf surface topography at submicrometer scale. This process revealed that the shape and size of the phyllotelma—the collective body of standing water on a leaf surface—was a function of wetting method and presence of surface features, in particular leaf veins. The u…

    PublisherOA PDFDOI

  • Kinetic control of shape deformations and membrane phase separation inside giant vesicles

    Nature Chemistry · 2023-07-06 · 61 citations

    articleSenior authorCorresponding
    PublisherDOI

  • Cellular Uptake of Phase‐Separating Peptide Coacervates (Adv. Sci. 42/2024)

    Advanced Science · 2024-11-01 · 1 citations

    articleOpen access

    Peptide Coacervates for Intracellular Therapeutic Delivery Peptide coacervate microdroplets (CMs) are promising vectors to deliver a broad range of macromolecular therapeutics inside cells, but the mechanism by which CMs enter cells has remained unknown to date. In article number 2402652, Ali Miserez and co‐workers demonstrate that CMs enter the cell through a mechanism reminiscent of macropinocytosis and phagocytosis. The cover image is a scanning electron microscope (SEM) image of CMs captured…

    PublisherOA PDFDOI

  • CHASE: Competing Hypotheses for Ambiguity-Aware Selective Prediction

    arXiv (Cornell University) · 2026-05-02

    preprintOpen access

    Standard selective prediction methods typically estimate uncertainty from the output of a single predictive branch. While effective for general uncertainty estimation, these approaches often struggle under partial observability, where local temporal evidence can be contradictory and standard confidence scores become misleading. We introduce CHASE (Competing Hypotheses for Ambiguity-Aware Selective Prediction), a selective prediction framework that explicitly compares structured temporal explanat…

    PublisherDOI

  • CHASE: Competing Hypotheses for Ambiguity-Aware Selective Prediction

    ArXiv.org · 2026-05-02

    articleOpen access

    Standard selective prediction methods typically estimate uncertainty from the output of a single predictive branch. While effective for general uncertainty estimation, these approaches often struggle under partial observability, where local temporal evidence can be contradictory and standard confidence scores become misleading. We introduce CHASE (Competing Hypotheses for Ambiguity-Aware Selective Prediction), a selective prediction framework that explicitly compares structured temporal explanat…

    PublisherOA PDF

Recent grants

Frequent coauthors

  • James C. S. Ho

    Nanyang Technological University

    85 shared

  • Staffan Kjelleberg

    Singapore Centre for Environmental Life Sciences Engineering

    52 shared

  • Andrew P. Shreve

    University of New Mexico

    50 shared

  • Mark A. Schembri

    UK Health Security Agency

    48 shared

  • Bo Liedberg

    Nanyang Technological University

    45 shared

  • Chanel K. Yee

    Amgen (United States)

    39 shared

  • Binu Kundukad

    Nanyang Technological University

    36 shared

  • Anton Y. Peleg

    The Alfred Hospital

    36 shared

Education

  • Ph.D (Polymer Science), Materials Science & Engineering

    Pennsylvania State University

    1994

  • B. Chem. Eng., University Department of Chemical Technology (UDCT)

    University of Bombay

    1987

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