Eric M. Lynch
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
- Structural Biology top 10%
Papers in ⓘ
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- Microtubule and mitosis dynamics 4
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- Biochemical and Molecular Research 10
- Porphyrin Metabolism and Disorders 3
- RNA Research and Splicing 2
- RNA modifications and cancer 2
- Co-authors
- Justin M. Kollman (15 shared papers)Bradley A. Webb (3 shared papers)Jesse M. Hansen (2 shared papers)Allison Maker (1 shared paper)Rachael M. Barry (1 shared paper)Derrick R. Hicks (1 shared paper)Kenneth E. Sawin (3 shared papers)Justin Decarreau (3 shared papers)
- Journals
- Current Biology (2 papers)Nature Structural & Molecular Biology (2 papers)Nature Communications (2 papers)Science (2 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Eric M. Lynch
19 papers receiving 692 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Physiology 50
- Structural Biology 13
- Molecular Biology 557
- Cell Biology 120
- Infectious Diseases 102
Countries citing papers authored by Eric M. Lynch
This map shows the geographic impact of Eric M. Lynch'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 Eric M. Lynch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric M. Lynch more than expected).
Fields of papers citing papers by Eric M. Lynch
This network shows the impact of papers produced by Eric M. Lynch. 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 Eric M. Lynch. The network helps show where Eric M. Lynch may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric M. Lynch, 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 | 2017 | 129 | |
| 2 | 2018 | 110 | |
| 3 | 2021 | 105 | |
| 4 | 2019 | 53 | |
| 5 | 2020 | 40 | |
| 6 | 2014 | 39 | |
| 7 | 2020 | 39 | |
| 8 | De novo design of pH-responsive self-assembling helical protein filaments Hit paper breakdown → | 2024 | 34 |
| 9 | 2017 | 34 | |
| 10 | 2021 | 28 | |
| 11 | 2021 | 20 | |
| 12 | 2024 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2018 | 14 | |
| 15 | 2020 | 11 | |
| 16 | 2023 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Eric M. Lynch
Eric M. Lynch is a scholar working on Cell Biology, Molecular Biology, Rheumatology, Parasitology and Immunology, having authored 20 papers that have together received 697 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (10 papers), Enzyme Structure and Function (6 papers), Microtubule and mitosis dynamics (4 papers), Porphyrin Metabolism and Disorders (3 papers), RNA Research and Splicing (2 papers), Eosinophilic Disorders and Syndromes (2 papers), RNA modifications and cancer (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Physiology (50 citations), Structural Biology (13 citations), Molecular Biology (557 citations), Cell Biology (120 citations) and Infectious Diseases (102 citations). Eric M. Lynch has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Justin M. Kollman, Bradley A. Webb, Jesse M. Hansen, Allison Maker, Rachael M. Barry, Derrick R. Hicks, Kenneth E. Sawin, Justin Decarreau, Zemer Gitai and Enoch P. Baldwin. Their work appears in journals such as Current Biology, Nature Structural & Molecular Biology, Nature Communications, Science and The Journal of Experimental Medicine.
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.