E. Gary
Impact in
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
- Immunology 15
- Immunotherapy and Immune Responses 10
- Immune Cell Function and Interaction 7
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- SARS-CoV-2 and COVID-19 Research 7
- Co-authors
- Jonah Cheung (4 shared papers)M. Cassidy (3 shared papers)F. Burshteyn (3 shared papers)Matthew C. Franklin (3 shared papers)M. Rudolph (3 shared papers)J.J. Height (1 shared paper)J. Love (1 shared paper)David B. Weiner (13 shared papers)
- Journals
- Molecular Therapy — Oncolytics (3 papers)Frontiers in Immunology (3 papers)Journal of Medicinal Chemistry (2 papers)The Journal of Immunology (2 papers)Vaccine (2 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
E. Gary
20 papers receiving 1.7k citations
E. Gary's Hit Papers
Peers
Comparison fields: 5 of 96
- Pharmacology 1.1k
- Computational Theory and Mathematics 807
- Complementary and alternative medicine 169
- Organic Chemistry 631
- Infectious Diseases 130
Countries citing papers authored by E. Gary
This map shows the geographic impact of E. Gary'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 E. Gary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Gary more than expected).
Fields of papers citing papers by E. Gary
This network shows the impact of papers produced by E. Gary. 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 E. Gary. The network helps show where E. Gary may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Gary, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structures of Human Acetylcholinesterase in Complex with Pharmacologically Important Ligands Hit paper breakdown → | 2012 | 1121 |
| 2 | 2013 | 241 | |
| 3 | 2020 | 132 | |
| 4 | 2015 | 76 | |
| 5 | 2020 | 42 | |
| 6 | 2014 | 39 | |
| 7 | 2022 | 15 | |
| 8 | 2020 | 15 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 8 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2017 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About E. Gary
E. Gary is a scholar working on Immunology, Infectious Diseases, Virology, Molecular Biology and Oncology, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Immune Cell Function and Interaction (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), HIV Research and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Pharmacology (1.1k citations), Computational Theory and Mathematics (807 citations), Complementary and alternative medicine (169 citations), Organic Chemistry (631 citations) and Infectious Diseases (130 citations). E. Gary has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Jonah Cheung, M. Cassidy, F. Burshteyn, Matthew C. Franklin, M. Rudolph, J.J. Height, J. Love, David B. Weiner, Terrone L. Rosenberry and Kazuro Shiomi. Their work appears in journals such as Molecular Therapy — Oncolytics, Frontiers in Immunology, Journal of Medicinal Chemistry, The Journal of Immunology and Vaccine.
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.