James McCarty
Impact in
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- Polymer Surface Interaction Studies
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- Electrostatics and Colloid Interactions
Papers in
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- Protein Structure and Dynamics 4
- RNA Research and Splicing 3
- Lipid Membrane Structure and Behavior 2
- Machine Learning in Bioinformatics 2
- Biochemical and Structural Characterization 2
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- Blood properties and coagulation 2
- Co-authors
- Joan‐Emma Shea (6 shared papers)Glenn H. Fredrickson (4 shared papers)Kris T. Delaney (3 shared papers)Andrea Arsiccio (2 shared papers)Roberto Pisano (2 shared papers)Songi Han (2 shared papers)Kenneth S. Kosik (2 shared papers)Jennifer N. Rauch (2 shared papers)
- Journals
- The Journal of Physical Chemistry B (3 papers)Journal of Biological Chemistry (2 papers)The Journal of Physical Chemistry C (1 paper)Journal of the American Chemical Society (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
James McCarty
10 papers receiving 492 citations
Peers
Comparison fields: 5 of 80
- Surfaces, Coatings and Films 39
- Physical and Theoretical Chemistry 46
- Molecular Biology 323
- Biochemistry 24
- Physiology 63
Countries citing papers authored by James McCarty
This map shows the geographic impact of James McCarty's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James McCarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James McCarty more than expected).
Fields of papers citing papers by James McCarty
This network shows the impact of papers produced by James McCarty. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James McCarty. The network helps show where James McCarty may publish in the future.
Co-authors
The 19 scholars most cited alongside James McCarty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 124 | |
| 2 | 2019 | 110 | |
| 3 | 2020 | 82 | |
| 4 | 2020 | 81 | |
| 5 | 2018 | 43 | |
| 6 | 2021 | 22 | |
| 7 | 2017 | 15 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About James McCarty
James McCarty is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Atmospheric Science, Physiology and Organic Chemistry, having authored 12 papers that have together received 492 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), RNA Research and Splicing (3 papers), Blood properties and coagulation (2 papers), Lipid Membrane Structure and Behavior (2 papers), Machine Learning in Bioinformatics (2 papers), Biochemical and Structural Characterization (2 papers), nanoparticles nucleation surface interactions (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Surfaces, Coatings and Films (39 citations), Physical and Theoretical Chemistry (46 citations), Molecular Biology (323 citations), Biochemistry (24 citations) and Physiology (63 citations). James McCarty has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Joan‐Emma Shea, Glenn H. Fredrickson, Kris T. Delaney, Andrea Arsiccio, Roberto Pisano, Songi Han, Kenneth S. Kosik, Jennifer N. Rauch, Scott P. O. Danielsen and Yanxian Lin. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Biological Chemistry, The Journal of Physical Chemistry C, Journal of the American Chemical Society and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.