Jeff Martin

2.4k citations
18 papers · 524 · h-index 13

Impact in

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

Papers in

    • HIV Research and Treatment 10
    • HIV/AIDS Research and Interventions 7
    • HIV/AIDS drug development and treatment 7

Jeff Martin

18 papers receiving 518 citations

Peers

Jeff Martin
Comparison fields: 5 of 64
  • Virology 258
  • Infectious Diseases 229
  • Oncology 167
  • Epidemiology 186
  • Immunology 75
Replace Hana Selinger‐Leneman with:
Hana Selinger‐Leneman France
Hansjakob Furrer Switzerland
Goedert Jj United States
Burke Ds United States
Anne E. Daigle United States
Beatriz Hernández‐Novoa Spain
Stephen Kravcik Canada
A. L. Sánchez Martinez United States
Simone Becker United States
Ermias Hailu Ethiopia
Jeff Martin relative to Hana Selinger‐Leneman France Hana Selinger‐Leneman's profile →
Citations per field
00.5×1.5×1.9×
Hana Selinger‐Leneman · 1×
Citations per year

Countries citing papers authored by Jeff Martin

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200373
2 200769
3 201455
4 201542
5 200139
6 201237
7 201634
8 200530
9 201728
10 200728
11 202021
12 200221
13 201818
14 200610
15 20147
16 20185
17 20205
18
Comparison of outcomes in patients with juvenile myoclonic epilepsy treated with lamotrigine, topiramate, zonisamide, or levetiracetam
20022

About Jeff Martin

Jeff Martin is a scholar working on Virology, Infectious Diseases, Epidemiology, Oncology and Immunology, having authored 18 papers that have together received 524 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), HIV/AIDS Research and Interventions (7 papers), HIV/AIDS drug development and treatment (7 papers), Cytomegalovirus and herpesvirus research (5 papers), Viral-associated cancers and disorders (5 papers), Herpesvirus Infections and Treatments (4 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Virology (258 citations), Infectious Diseases (229 citations), Oncology (167 citations), Epidemiology (186 citations) and Immunology (75 citations). Jeff Martin has collaborated with scholars based in United States, Uganda and South Africa. Frequent co-authors include Christian Brander, Steven G. Deeks, David T. Scadden, David R. Bangsberg, Rebecca Hoh, Peter W. Hunt, Robert M. Grant, Terri Wrin, Christos J. Petropoulos and Ellen E. Paxinos. Their work appears in journals such as Journal of Virology, JAIDS Journal of Acquired Immune Deficiency Syndromes, AIDS, The Journal of Infectious Diseases and PLoS Pathogens.

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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