Resume-aware faculty matching

Find professors who actually fit you

Review faculty evidence in public, then use the workspace to turn your background into a shortlist, outreach, and meeting prep.

Profile-awarePaper evidenceSix agents
Rachel Martin

Rachel Martin

· Professor

University of California, Irvine · Chemistry

Active 1980–2026

h-index31
Citations4.9k
Papers18376 last 5y
Funding$5.0M

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

See your match with Rachel Martin — sign in to PhdFit.Sign in

About

Rachel Martin is a Professor at the University of California, Irvine, within the Department of Chemistry. Her research interests encompass Analytical Chemistry, Chemical Biology, Physical Chemistry, and Chemical Physics. She is involved in advancing knowledge in these areas through her academic and research activities at UC Irvine, contributing to the department's focus on interdisciplinary scientific inquiry and education.

Research topics

  • Biology
  • Computer Science
  • Computational biology
  • Genetics
  • Chemistry
  • Biochemistry
  • Medicine
  • Organic chemistry
  • Virology
  • Materials science

Selected publications

  • Function and Aggregation in Structural Eye Lens Crystallins

    Accounts of Chemical Research · 2020 · 76 citations

    Senior authorCorresponding

    Crystallins are transparent, refractive proteins that contribute to the focusing power of the vertebrate eye lens. These proteins are extremely soluble and resist aggregation for decades, even under crowded conditions. Crystallins have evolved to avoid strong interprotein interactions and have unusual hydration properties. Crystallin aggregation resulting from mutation, damage, or aging can lead to cataract, a disease state characterized by opacity of the lens.Different aggregation mechanisms ca…

  • Large-Scale Recombinant Production of the SARS-CoV-2 Proteome for High-Throughput and Structural Biology Applications

    Frontiers in Molecular Biosciences · 2021 · 55 citations

    , we here provide highly valuable resources for the production of SARS-CoV-2 proteins in isotope-labeled form.

  • Sequence Characterization and Molecular Modeling of Clinically Relevant Variants of the SARS-CoV-2 Main Protease

    Biochemistry · 2020 · 44 citations

    Senior authorCorresponding

    The SARS-CoV-2 main protease (M(pro)) is essential to viral replication and cleaves highly specific substrate sequences, making it an obvious target for inhibitor design. However, as for any virus, SARS-CoV-2 is subject to constant neutral drift and selection pressure, with new M(pro) mutations arising over time. Identification and structural characterization of M(pro) variants is thus critical for robust inhibitor design. Here we report sequence analysis, structure predictions, and molecular mo…

  • Automated test apparatus for bench-testing the magnetic field homogeneity of NMR transceiver coils

    Journal of Magnetic Resonance Open · 2023-12-21 · 4 citations

    articleOpen accessSenior authorCorresponding

    We describe an automated hands-off bench testing method for measuring the magnetic field profile of transceiver coils for nuclear magnetic resonance (NMR). The scattering parameter (S-parameter) data is measured using a portable network analyzer, and the results are automatically exported to a computer for plotting and viewing. This assay dramatically reduces the time needed to measure the magnetic field (B1) homogeneity profile of a transceiver coil while also improving accuracy relative to man…

  • The Computer‐Assisted Sequence Annotation (CASA) workflow for enzyme discovery

    Applications in Plant Sciences · 2025-06-03 · 3 citations

    articleOpen accessSenior authorCorresponding

    Premise: With the advent of inexpensive nucleic acid sequencing and automated annotation at the level of basic functionality, the central problem of enzyme discovery is no longer finding active sequences, it is determining which ones are suitable for further study. This requires annotation that goes beyond sequence similarity to known enzymes and provides information at the sequence and structural levels. Methods: Here we introduce a workflow for generating highly informative, richly annotated s…

Recent grants

Frequent coauthors

  • Alexander Pines

    University of California, Berkeley

    47 shared
  • Dimitris Sakellariou

    40 shared
  • Carter T. Butts

    University of California, Irvine

    39 shared
  • Carlos A. Meriles

    City College of New York

    29 shared
  • Daniel Topgaard

    Lund University

    29 shared
  • Brenna Norton‐Baker

    National Renewable Energy Laboratory

    27 shared
  • Kurt W. Zilm

    Yale University

    20 shared
  • Eric K. Paulson

    Yale University

    19 shared

Education

  • Ph.D., Chemistry

    Yale University

    2002
  • B.S., Chemistry

    Arizona State University

    1997

Similar researchers at University of California, Irvine

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Rachel Martin

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup