Derrick Goodman

1.3k citations
10 papers · 346 · h-index 8

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 9
    • HIV/AIDS drug development and treatment 7
    • HIV/AIDS Research and Interventions 3
    • SARS-CoV-2 and COVID-19 Research 1
    • Viral gastroenteritis research and epidemiology 1

Derrick Goodman

10 papers receiving 342 citations

Peers

Derrick Goodman
Comparison fields: 5 of 35
  • Virology 286
  • Infectious Diseases 295
  • Hepatology 21
  • Epidemiology 55
  • Immunology 28
Replace Jason Isaacson with:
Jason Isaacson United States
Marcia Van Ginderen Belgium
Axel Fun Netherlands
Gabrielle Heilek‐Snyder United States
Dennison Chan Canada
Jean Pierre Routy Canada
Diane N. Singhroy Canada
Fred Kyeyune Uganda
Madhavi Kolli United States
Makiko Kondo Japan
Derrick Goodman relative to Jason Isaacson United States Jason Isaacson's profile →
Citations per field
00.5×2.6×
Jason Isaacson · 1×
Citations per year

Countries citing papers authored by Derrick Goodman

Since Specialization
Citations

This map shows the geographic impact of Derrick Goodman'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 Derrick Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derrick Goodman more than expected).

Fields of papers citing papers by Derrick Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derrick Goodman. 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 Derrick Goodman. The network helps show where Derrick Goodman may publish in the future.

Co-authors

The 25 scholars most cited alongside Derrick Goodman, 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 Derrick Goodman Line = papers co-authored together Derrick Goodman links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201394
2 201073
3 200954
4 200848
5 200731
6 201916
7 202410
8 20227
9 20157
10 20216

About Derrick Goodman

Derrick Goodman is a scholar working on Virology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology, having authored 10 papers that have together received 346 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (7 papers), HIV/AIDS Research and Interventions (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Hepatitis C virus research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Virology (286 citations), Infectious Diseases (295 citations), Hepatology (21 citations), Epidemiology (55 citations) and Immunology (28 citations). Derrick Goodman has collaborated with scholars based in United States. Frequent co-authors include Michael D. Miller, Evguenia S. Svarovskaia, Katyna Borroto–Esoda, Nicolas Margot, Kirsten White, Damian J. McColl, Lijie Zhong, Joy Y. Feng, Florence Myrick and Yun Zhou. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, Antimicrobial Agents and Chemotherapy, PLoS Pathogens, AIDS and Frontiers in Immunology.

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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