Keith C. Robbins

9.5k citations
94 papers · 8.1k indexed · 2 hit papers · h-index 48

Impact in

Papers in

    • Virus-based gene therapy research 31
    • Peptidase Inhibition and Analysis 9
    • Cancer-related Molecular Pathways 8

Keith C. Robbins

93 papers receiving 7.5k citations

Hit Papers

Simian Sarcoma Virus onc Gene, v- sis , Is Derived from the Gene (or Genes) Encoding a Platelet-Derived Growth Factor 1983 · 1.2k citations
1.2k19822026199620114008001.2k

Peers

Keith C. Robbins
Comparison fields: 5 of 124
  • Immunology and Allergy 818
  • Immunology 1.6k
  • Molecular Biology 5.1k
  • Oncology 1.8k
  • Hematology 620
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Wallace Y. Langdon Australia
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Eisuke Mekada Japan
Bohdan Wasylyk France
Yuji Yamanashi Japan
Michael Fry United Kingdom
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Hamid Band United States
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Citations per field
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Citations per year

Countries citing papers authored by Keith C. Robbins

Since Specialization
Citations

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

Fields of papers citing papers by Keith C. Robbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith C. Robbins. 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 Keith C. Robbins. The network helps show where Keith C. Robbins may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199827
2 199723
3 199741
4 199743
5 1995117
6 1995107
7 19945
8 199334
9 199245
10 199195
11 19912
12 198910
13 198911
14 198913
15 198813
16 1988161
17 198819
18 198282
19 197926
20 197929

About Keith C. Robbins

Keith C. Robbins is a scholar working on Genetics, Oncology, Immunology and Allergy, Molecular Biology and Virology, having authored 94 papers that have together received 8.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (31 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), RNA Interference and Gene Delivery (11 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Peptidase Inhibition and Analysis (9 papers), RNA Research and Splicing (8 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Immunology and Allergy (818 citations), Immunology (1.6k citations), Molecular Biology (5.1k citations), Oncology (1.8k citations) and Hematology (620 citations). Keith C. Robbins has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Stuart A. Aaronson, J. Silvio Gutkind, Sushilkumar G. Devare, Harry N. Antoniades, Michael W. Hunkapiller, E. Premkumar Reddy, Russell F. Doolittle, Leroy Hood, Octavio Miguel Rivero-Lezcano and Steven R. Tronick. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Journal of Biological Chemistry, Science and Journal of Virology.

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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