Gregory J. Babcock

6.4k citations
49 papers · 4.7k indexed · 1 hit paper · h-index 29
Topics
Viral-associated cancers and disorders (13 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)HIV Research and Treatment (8 papers)

In The Last Decade

Gregory J. Babcock

49 papers receiving 4.6k citations

Hit Papers

EBV Persistence in Memory B Cells In Vivo19982026200720161998200400600

Peers

Gregory J. Babcock
Comparison fields: 5 of 113
  • Oncology 2.3k
  • Infectious Diseases 1.6k
  • Epidemiology 1.5k
  • Immunology 1.3k
  • Pathology and Forensic Medicine 886
Replace F. Dianzani with:
F. Dianzani Italy
Rajiv Khanna Australia
Ian A. York United States
Andrea Gambotto United States
T. C. Merigan United States
Awen Gallimore United Kingdom
Fred C. Jensen United States
François A. Lemonnier France
Allan Zajac United States
Jason K. Whitmire United States
Gregory J. Babcock relative to F. Dianzani Italy F. Dianzani's profile →
Citations per field
00.5×10×14.3×
F. Dianzani · 1×
Citations per year

Countries citing papers authored by Gregory J. Babcock

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Babcock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Babcock. 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 Gregory J. Babcock. The network helps show where Gregory J. Babcock may publish in the future.

Co-authorship network of co-authors of Gregory J. Babcock

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Babcock. A scholar is included among the top collaborators of Gregory J. Babcock 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 Gregory J. Babcock. Gregory J. Babcock 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
#WorkIndexed citations
1 17
2 4
3 76
4 21
5 18
6 14
7 133
8 36
9 25
10 148
11
Human Monoclonal Antibodies Neutralize Toxins Produced by Epidemic Strains of Clostridium difficile
2
12 36
13 5
14 59
15 84
16 79
17 383
18 257
19
EBV Persistence in Memory B Cells In Vivobreakdown →
631
20 149

About Gregory J. Babcock

Gregory J. Babcock is a scholar working on Virology, Immunology and Infectious Diseases, having authored 49 papers that have together received 4.7k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and HIV Research and Treatment (8 papers). The work is most often cited by research in Virology (456 citations), Infectious Diseases (1.6k citations) and Oncology (2.3k citations). Gregory J. Babcock has collaborated with scholars based in United States, Singapore and Hong Kong. Frequent co-authors include David A. Thorley‐Lawson, L L Decker, Mark S. Volk, Donna M. Ambrosino, Joseph Sodroski, William D. Thomas, Michael Farzan, Bin Yang, Richard B. Freeman and Alexandra Joseph. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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