Renee G. Traub

1.7k total citations
34 papers, 1.4k citations indexed

About

Renee G. Traub is a scholar working on Epidemiology, Oncology and Infectious Diseases. According to data from OpenAlex, Renee G. Traub has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 10 papers in Oncology and 7 papers in Infectious Diseases. Recurrent topics in Renee G. Traub's work include Virology and Viral Diseases (10 papers), Polyomavirus and related diseases (10 papers) and Cytomegalovirus and herpesvirus research (6 papers). Renee G. Traub is often cited by papers focused on Virology and Viral Diseases (10 papers), Polyomavirus and related diseases (10 papers) and Cytomegalovirus and herpesvirus research (6 papers). Renee G. Traub collaborates with scholars based in United States, Australia and Japan. Renee G. Traub's co-authors include Eugene O. Major, John L. Sever, Kei Amemiya, Walter J. Atwood, David A. Fuccillo, Dominick Vacante, Katherine Conant, Blanche Curfman, Anita C. Ley and Carlo Tornatore and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Renee G. Traub

34 papers receiving 1.2k citations

Peers

Renee G. Traub
Comparison fields: 5 of 87
  • Oncology 676
  • Electrical and Electronic Engineering 451
  • Epidemiology 369
  • Molecular Biology 250
  • Aerospace Engineering 202
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Citations per field, relative to Renee G. Traub
Renee G. Traub · 1×
Citations per year, relative to Renee G. Traub
Renee G. Traub · 1×

Countries citing papers authored by Renee G. Traub

Since Specialization
Citations

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

Fields of papers citing papers by Renee G. Traub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renee G. Traub

This figure shows the co-authorship network connecting the top 25 collaborators of Renee G. Traub. A scholar is included among the top collaborators of Renee G. Traub 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 Renee G. Traub. Renee G. Traub 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 45
2 96
3 38
4 36
5 52
6 21
7 97
8 86
9 75
10 287
11 3
12 14
13
Immunological response of subacute sclerosing panencephalitis patients to measles virus.
1
14
Herpesvirus hominis type II infections in asymptomatic pregnant women.
42
15 17
16 46
17 36
18
Changing susceptibility to rubella.
11
19 25
20 4

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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