G.J. Lockbaum
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
Papers in
-
- HIV/AIDS drug development and treatment 11
- SARS-CoV-2 and COVID-19 Research 4
-
- RNA and protein synthesis mechanisms 4
- Co-authors
- Celia A. Schiffer (19 shared papers)Neşe Kurt Yılmaz (17 shared papers)E.A. Nalivaika (11 shared papers)Akbar Ali (11 shared papers)M. Henes (12 shared papers)Paul R. Thompson (3 shared papers)Archie C. Reyes (2 shared papers)L.N. Rusere (8 shared papers)
- Journals
- ACS Chemical Biology (2 papers)Molecular Cancer Therapeutics (2 papers)European Journal of Medicinal Chemistry (2 papers)Biochemistry (2 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- United States
In The Last Decade
G.J. Lockbaum
21 papers receiving 486 citations
Peers
Comparison fields: 5 of 60
- Virology 88
- Infectious Diseases 262
- Computational Theory and Mathematics 171
- Hepatology 33
- Organic Chemistry 88
Countries citing papers authored by G.J. Lockbaum
This map shows the geographic impact of G.J. Lockbaum'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 G.J. Lockbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.J. Lockbaum more than expected).
Fields of papers citing papers by G.J. Lockbaum
This network shows the impact of papers produced by G.J. Lockbaum. 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 G.J. Lockbaum. The network helps show where G.J. Lockbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside G.J. Lockbaum, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 90 | |
| 2 | 2022 | 82 | |
| 3 | 2021 | 57 | |
| 4 | 2022 | 35 | |
| 5 | 2019 | 33 | |
| 6 | 2021 | 30 | |
| 7 | 2018 | 28 | |
| 8 | 2019 | 25 | |
| 9 | 2018 | 19 | |
| 10 | 2020 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2023 | 15 | |
| 13 | 2019 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2023 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2023 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 1 |
About G.J. Lockbaum
G.J. Lockbaum is a scholar working on Infectious Diseases, Molecular Biology, Virology, Hepatology and Epidemiology, having authored 22 papers that have together received 492 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (11 papers), HIV Research and Treatment (7 papers), Hepatitis C virus research (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Virology (88 citations), Infectious Diseases (262 citations), Computational Theory and Mathematics (171 citations), Hepatology (33 citations) and Organic Chemistry (88 citations). G.J. Lockbaum has collaborated with scholars based in United States. Frequent co-authors include Celia A. Schiffer, Neşe Kurt Yılmaz, E.A. Nalivaika, Akbar Ali, M. Henes, Paul R. Thompson, Archie C. Reyes, L.N. Rusere, Daniel N. Bolon and Florian Leidner. Their work appears in journals such as ACS Chemical Biology, Molecular Cancer Therapeutics, European Journal of Medicinal Chemistry, Biochemistry and Journal of Medicinal Chemistry.
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.