G.J. Lockbaum

729 citations
21 papers · 448 indexed · h-index 13

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • HIV/AIDS drug development and treatment

Papers in

G.J. Lockbaum

20 papers receiving 443 citations

Peers

G.J. Lockbaum
Comparison fields: 5 of 60
  • Virology 87
  • Infectious Diseases 250
  • Computational Theory and Mathematics 167
  • Hepatology 31
  • Organic Chemistry 86
Replace M. Henes with:
M. Henes United States
Mira A. M. Behnam Germany
Dongrong Yi China
Tianhong Zhang China
Djadé I. Soumana United States
Daniel Brian Nichols United States
Petra M. Färber Germany
Ashleigh Shannon France
Aesop Cho United States
Anna Offersgaard Denmark
G.J. Lockbaum relative to M. Henes United States M. Henes's profile →
Citations per field
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M. Henes · 1×
Citations per year

Countries citing papers authored by G.J. Lockbaum

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with G.J. Lockbaum Line = papers co-authored together G.J. Lockbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202184
2 202273
3 202150
4 201932
5 202231
6 202128
7 201827
8 201922
9 201817
10 202115
11 202014
12 202313
13 201912
14 202111
15 20236
16 20205
17 20233
18 20232
19 20202
20 20201

About G.J. Lockbaum

G.J. Lockbaum is a scholar working on Infectious Diseases, Molecular Biology, Virology, Hepatology and Epidemiology, having authored 21 papers that have together received 448 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (10 papers), HIV Research and Treatment (7 papers), Hepatitis C virus research (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), interferon and immune responses (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Virology (87 citations), Infectious Diseases (250 citations), Computational Theory and Mathematics (167 citations), Hepatology (31 citations) and Organic Chemistry (86 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, L.N. Rusere, Archie C. Reyes, Florian Leidner and Daniel N. Bolon. Their work appears in journals such as ACS Medicinal Chemistry Letters, Molecular Cancer Therapeutics, Nature Communications, 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.

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