T. Robins

15 papers receiving 811 citations

Peers

T. Robins
Comparison fields: 5 of 57
  • Virology 55
  • Immunology 176
  • Infectious Diseases 143
  • Oncology 131
  • Molecular Biology 335
Replace Hidekatsu Iha with:
Hidekatsu Iha Japan
Anna L Barnett United Kingdom
Tiber Diamantstein Germany
Carlo Iavarone Italy
R.L. Heinrikson United States
Russell K. Young United States
Maria Pilar Civeira Spain
Petr Jílek Czechia
Christine Miossec France
Jennifer Mariner United States
T. Robins relative to Hidekatsu Iha Japan Hidekatsu Iha's profile →
Citations per field
00.5×2×2.8×
Hidekatsu Iha · 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-authors

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

15 of 15 papers shown
#Work
1
Characterization of a human gene conferring sensitivity to infection by gibbon ape leukemia virus.
1990245
2 1986179
3 199674
4 198273
5 198369
6
HIV protease inhibitors: their anti-HIV activity and potential role in treatment.
199360
7 199651
8 199547
9
Generation of an autocrine leukaemia using a retroviral expression vector carrying the interleukin-3 gene.
198642
10 198627
11 198625
12 19958
13 19965
14 19883
15 19871

About T. Robins

T. Robins is a scholar working on Infectious Diseases, Immunology, Oncology, Hematology and Virology, having authored 15 papers that have together received 909 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (5 papers), T-cell and Retrovirus Studies (5 papers), Acute Myeloid Leukemia Research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cervical Cancer and HPV Research (1 paper), Polyomavirus and related diseases (1 paper), HIV Research and Treatment (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Virology (55 citations), Immunology (176 citations), Infectious Diseases (143 citations), Oncology (131 citations) and Molecular Biology (335 citations). T. Robins has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include J. J. PLATTNER, Harold P. Klinger, Brian J. O’Hara, Stephen V. Johann, Philip M. Sass, Kathleen Dunn, Morten Guldborg Johnsen, William C. Vass, Douglas R. Lowy and Alex G. Papageorge. Their work appears in journals such as Journal of Virology, Antimicrobial Agents and Chemotherapy, Journal of Medicinal Chemistry, JNCI Journal of the National Cancer Institute and Biochemical and Biophysical Research Communications.

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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