T. Robins

1.1k citations
14 papers · 885 indexed · h-index 11

T. Robins

14 papers receiving 826 citations

Peers

T. Robins
Comparison fields: 5 of 71
  • Virology 218
  • Infectious Diseases 158
  • Genetics 228
  • Nephrology 51
  • Molecular Biology 428
Replace J J Gibbons with:
J J Gibbons United States
Manabu Taura Japan
R.L. Heinrikson United States
Isabelle Bouchaert France
Robert R. Conroy United States
Sigrid Kisling Germany
Hui Fang China
Line Saffar France
Marina Panozzo Italy
Soichi Haraguchi United States
T. Robins relative to J J Gibbons United States J J Gibbons's profile →
Citations per field
00.5×4.0×
J J Gibbons · 1×
Citations per year

Countries citing papers authored by T. Robins

Since Specialization
Citations

This map shows the geographic impact of T. Robins'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 T. Robins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Robins more than expected).

Fields of papers citing papers by T. Robins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 201242
2 19965
3 199672
4 199547
5 19956
6
HIV protease inhibitors: their anti-HIV activity and potential role in treatment.
199359
7
Characterization of a human gene conferring sensitivity to infection by gibbon ape leukemia virus.
1990243
8 19883
9 198624
10 1986180
11 198629
12
Generation of an autocrine leukaemia using a retroviral expression vector carrying the interleukin-3 gene.
198639
13 198366
14 198270

About T. Robins

T. Robins is a scholar working on Virology, Infectious Diseases, Genetics, Rehabilitation and Hepatology, having authored 14 papers that have together received 885 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Virus-based gene therapy research (6 papers), HIV/AIDS drug development and treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Click Chemistry and Applications (1 paper), HIV/AIDS Research and Interventions (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Virology (218 citations), Infectious Diseases (158 citations), Genetics (228 citations), Nephrology (51 citations) and Molecular Biology (428 citations). T. Robins has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include J. J. PLATTNER, Brian J. O’Hara, Kathleen Dunn, Philip M. Sass, S V Johann, H.P. Klinger, D. G. Blair, Henriette Rubinson, Alex G. Papageorge and Morten Johnsen. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, JNCI Journal of the National Cancer Institute, Antimicrobial Agents and Chemotherapy and The Journal of Infectious Diseases.

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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