Dennis Gee

1.3k citations
9 papers · 1.0k · 1 hit paper · h-index 8

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

Dennis Gee

9 papers receiving 988 citations

Dennis Gee's Hit Papers

HIV-1 and T cell dynamics after interruption of highly active antiretroviral therapy (HAART) in patients with a history of sustained viral suppression 1999 · 639 citations
6390+9+18Years since publication200400600

Peers

Dennis Gee
Comparison fields: 5 of 76
  • Virology 614
  • Aging 103
  • Infectious Diseases 411
  • Immunology 270
  • Physiology 280
Replace Hwee L. Ng with:
Hwee L. Ng United States
Sher L. Hendrickson United States
Yelina Alvarez United States
Julie Sullivan United States
Judith Delmar United States
L M Baca United States
Domíníque Marcé France
Lisa LaFranco-Scheuch United States
Xin‐Xin Yu China
Joann Cutilli United States
Dennis Gee relative to Hwee L. Ng United States Hwee L. Ng's profile →
Citations per field
00.5×4.3×
Hwee L. Ng · 1×
Citations per year

Countries citing papers authored by Dennis Gee

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
HIV-1 and T cell dynamics after interruption of highly active antiretroviral therapy (HAART) in patients with a history of sustained viral suppression
Hit paper breakdown →
1999639
2 1999155
3 1999137
4 200223
5 199916
6 200315
7 19989
8 19997
9 19893

About Dennis Gee

Dennis Gee is a scholar working on Epidemiology, Physiology, Molecular Biology, Virology and Infectious Diseases, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (6 papers), Telomeres, Telomerase, and Senescence (6 papers), HIV Research and Treatment (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Single-cell and spatial transcriptomics (1 paper), Bioinformatics and Genomic Networks (1 paper), HIV/AIDS drug development and treatment (1 paper) and Actinomycetales infections and treatment (1 paper). The work is most often cited by research in Virology (614 citations), Aging (103 citations), Infectious Diseases (411 citations), Immunology (270 citations) and Physiology (280 citations). Dennis Gee has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Dimiter S. Dimitrov, Steven L. Zeichner, Yanru Feng, Robert J. Biggar, Richard A. Lempicki, Xiaodong Xiao, Joseph A. Kovacs, Maureen M. Goodenow, Ven Natarajan and Anthony S. Fauci. Their work appears in journals such as Journal of Medical Primatology, Blood, Information Sciences, Proceedings of the National Academy of Sciences and Pathobiology.

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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