Robert D. Shaw

3.8k citations
79 papers · 3.2k · h-index 29

Impact in

Papers in

Robert D. Shaw

75 papers receiving 3.0k citations

Peers

Robert D. Shaw
Comparison fields: 5 of 109
  • Infectious Diseases 2.1k
  • Animal Science and Zoology 838
  • Cardiology and Cardiovascular Medicine 693
  • Genetics 819
  • Parasitology 179
Replace Juan E. Ludert with:
Juan E. Ludert Venezuela
Larissa B. Thackray United States
Cedric Mims United Kingdom
Karol Sestak United States
Yuan Sun China
Timothy J. Nice United States
Armin Saalmüller Austria
Lela K. Riley United States
G. D. Hsiung United States
Margaret E. Conner United States
Robert D. Shaw relative to Juan E. Ludert Venezuela Juan E. Ludert's profile →
Citations per field
00.5×1.5×2.3×
Juan E. Ludert · 1×
Citations per year

Countries citing papers authored by Robert D. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998332
2 1988218
3 1986198
4 1986181
5 1966172
6 1988171
7 2000143
8 1985125
9 1999112
10 1988107
11 1989102
12 199492
13 199985
14 199979
15 199265
16 198865
17 199664
18 198763
19 200557
20 200752

About Robert D. Shaw

Robert D. Shaw is a scholar working on Infectious Diseases, Genetics, Animal Science and Zoology, Epidemiology and Surgery, having authored 79 papers that have together received 3.2k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (33 papers), Virus-based gene therapy research (16 papers), Animal Virus Infections Studies (15 papers), Respiratory viral infections research (11 papers), Colorectal Cancer Screening and Detection (6 papers), Viral Infections and Immunology Research (6 papers), Bacteriophages and microbial interactions (4 papers) and Insect Pest Control Strategies (3 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Animal Science and Zoology (838 citations), Cardiology and Cardiovascular Medicine (693 citations), Genetics (819 citations) and Parasitology (179 citations). Robert D. Shaw has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Harry B. Greenberg, Erich R. Mackow, Paul A. Offit, Phuoc T. Vo, Irina N. Gavrilovskaya, Mark H. Ginsberg, Scott J. Hempson, William S. Groene, S M Matsui and Mary K. Estes. Their work appears in journals such as Journal of Virology, Current Opinion in Gastroenterology, Journal of Clinical Microbiology, Virology and Journal of surgical education.

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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