Robert M. Crowl

2.5k citations
31 papers · 2.2k indexed · h-index 22

Impact in

Papers in

    • Venomous Animal Envenomation and Studies 7
    • Bacterial Genetics and Biotechnology 3
    • Virus-based gene therapy research 2

Robert M. Crowl

31 papers receiving 2.1k citations

Peers

Robert M. Crowl
Comparison fields: 5 of 105
  • Virology 110
  • Immunology 421
  • Rheumatology 269
  • Molecular Biology 1.2k
  • Immunology and Allergy 84
Replace Thomas Hoffman with:
Thomas Hoffman United States
Fumio Kishi Japan
Peter Donner Germany
Su‐Fang Lin Taiwan
Harumi Suzuki Japan
Neelam Sharma-Walia United States
Bernard J. Scallon United States
Patricia Tekamp-Olson United States
Giovina Ruberti Italy
Kathryn A. Hjerrild United States
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Citations per field
00.5×4.8×
Thomas Hoffman · 1×
Citations per year

Countries citing papers authored by Robert M. Crowl

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Crowl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Crowl. 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 Robert M. Crowl. The network helps show where Robert M. Crowl may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2004140
2 2002146
3 2000190
4 1998182
5 199613
6 19958
7 199524
8 1994105
9 1994107
10 199210
11 199233
12 199129
13 19915
14 199021
15 198766
16 198744
17 198614
18 198637
19 198492
20 198123

About Robert M. Crowl

Robert M. Crowl is a scholar working on Genetics, Cell Biology, Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 2.2k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), RNA and protein synthesis mechanisms (4 papers), Bacteriophages and microbial interactions (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Bacterial Genetics and Biotechnology (3 papers), Virus-based gene therapy research (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Virology (110 citations), Immunology (421 citations), Rheumatology (269 citations), Molecular Biology (1.2k citations) and Immunology and Allergy (84 citations). Robert M. Crowl has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Robert R. Conroy, T J Stoller, Stephen J. McAndrew, Peter T. Lomedico, Jerrold Weiss, Masami Inada, Shou‐Ih Hu, Daniel Luk, Pascale V. Nantermet and Peter Elsbach. Their work appears in journals such as Journal of Biological Chemistry, Gene, Analytical Biochemistry, Proceedings of the National Academy of Sciences and Protein Expression and Purification.

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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