David G. Sharp

91 papers receiving 1.4k citations

Peers

David G. Sharp
Comparison fields: 5 of 108
  • Virology 218
  • Infectious Diseases 653
  • Animal Science and Zoology 236
  • Hepatology 144
  • Epidemiology 559
Replace C.‐H. von Bonsdorff with:
C.‐H. von Bonsdorff Finland
Frederick L. Schaffer United States
Kristian Dalsgaard Denmark
B. Klingeborn Sweden
S Rasheed United States
B.W.J. Mahy United Kingdom
José Manuel Cuevas Spain
S. H. Madin United States
Daniel Garín France
Marilyn S. Smith United States
David G. Sharp relative to C.‐H. von Bonsdorff Finland C.‐H. von Bonsdorff's profile →
Citations per field
00.5×1.7×
C.‐H. von Bonsdorff · 1×
Citations per year

Countries citing papers authored by David G. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by David G. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Sharp. 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 David G. Sharp. The network helps show where David G. Sharp may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973193
2 197779
3 197868
4 197762
5 196259
6 195249
7 197948
8 195247
9 197545
10 195842
11 196042
12 198040
13 196539
14 197636
15 195535
16 195534
17 197834
18 198034
19 196034
20 195833

About David G. Sharp

David G. Sharp is a scholar working on Virology, Infectious Diseases, Genetics, Animal Science and Zoology and Epidemiology, having authored 94 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (39 papers), Poxvirus research and outbreaks (36 papers), Viral gastroenteritis research and epidemiology (23 papers), Bacteriophages and microbial interactions (22 papers), Herpesvirus Infections and Treatments (17 papers), Animal Virus Infections Studies (14 papers), Viral Infections and Immunology Research (8 papers) and T-cell and Retrovirus Studies (7 papers). The work is most often cited by research in Virology (218 citations), Infectious Diseases (653 citations), Animal Science and Zoology (236 citations), Hepatology (144 citations) and Epidemiology (559 citations). David G. Sharp has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Roger Floyd, Joseph W. Beard, Gennaro Galasso, James Donald. Johnson, Dorothy C. Young, Edward A. Eckert, Kendall O. Smith, Dorothy Beard, Karl M. Wilbur and Thomas S. Edgington. Their work appears in journals such as Experimental Biology and Medicine, Applied and Environmental Microbiology, Virology, JNCI Journal of the National Cancer Institute and The Journal of Immunology.

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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