Gregg A. Dean

2.4k total citations
80 papers, 1.9k citations indexed

About

Gregg A. Dean is a scholar working on Virology, Immunology and Epidemiology. According to data from OpenAlex, Gregg A. Dean has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Virology, 31 papers in Immunology and 22 papers in Epidemiology. Recurrent topics in Gregg A. Dean's work include HIV Research and Treatment (33 papers), Virus-based gene therapy research (19 papers) and Immune Cell Function and Interaction (16 papers). Gregg A. Dean is often cited by papers focused on HIV Research and Treatment (33 papers), Virus-based gene therapy research (19 papers) and Immune Cell Function and Interaction (16 papers). Gregg A. Dean collaborates with scholars based in United States, Japan and Australia. Gregg A. Dean's co-authors include Alora LaVoy, Niels C. Pedersen, Mary Jo Burkhard, Peter F. Moore, Thierry Olivry, Gerhard H. Reubel, Shila K. Nordone, Edward A. Hoover, Ellen E. Sparger and Kristina E. Howard and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Virology.

In The Last Decade

Gregg A. Dean

80 papers receiving 1.9k citations

Peers

Gregg A. Dean
Comparison fields: 5 of 95
  • Virology 729
  • Epidemiology 681
  • Immunology 586
  • Genetics 468
  • Infectious Diseases 366
Replace Ke-Qin Xin with:
Ke-Qin Xin Japan
Vladimir N. Loparev United States
Barbara Blacklaws United Kingdom
Chinglai Yang United States
G. Cozon France
Philippa M. Beard United Kingdom
D. A. Harbour United Kingdom
Tatyana V. Golovkina United States
G.A. Hall United States
M. H. Wolff Germany
Ke-Qin Xin Japan View profile →
Citations per field, relative to Gregg A. Dean
Gregg A. Dean · 1×
Citations per year, relative to Gregg A. Dean
Gregg A. Dean · 1×

Countries citing papers authored by Gregg A. Dean

Since Specialization
Citations

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

Fields of papers citing papers by Gregg A. Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregg A. Dean. 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 Gregg A. Dean. The network helps show where Gregg A. Dean may publish in the future.

Co-authorship network of co-authors of Gregg A. Dean

This figure shows the co-authorship network connecting the top 25 collaborators of Gregg A. Dean. A scholar is included among the top collaborators of Gregg A. Dean based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregg A. Dean. Gregg A. Dean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 19
3 14
4 13
5 11
6 7
7 11
8 13
9 7
10 9
11 31
12 38
13 20
14 8
15 36
16 16
17 57
18 17
19 19
20 37

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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