Jane E. Libbey

71 papers receiving 2.5k citations

Peers

Jane E. Libbey
Comparison fields: 5 of 104
  • Neurology 488
  • Biological Psychiatry 94
  • Immunology 748
  • Developmental Neuroscience 114
  • Pathology and Forensic Medicine 451
Replace Ikuo Tsunoda with:
Ikuo Tsunoda United States
Julie K. Olson United States
Wendy Gilmore United States
Marc Tardieu France
Stefano Sotgiu Italy
Arun Venkatesan United States
William R. Tyor United States
Marcus Müller Germany
Edward Mee New Zealand
William D. Lyman United States
Jane E. Libbey relative to Ikuo Tsunoda United States Ikuo Tsunoda's profile →
Citations per field
00.5×1.5×
Ikuo Tsunoda · 1×
Citations per year

Countries citing papers authored by Jane E. Libbey

Since Specialization
Citations

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

Fields of papers citing papers by Jane E. Libbey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane E. Libbey. 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 Jane E. Libbey. The network helps show where Jane E. Libbey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011401
2 2005173
3 2008103
4 2009102
5 200398
6 201396
7 201291
8 201188
9 201487
10 201980
11 200765
12 201763
13 201160
14 200050
15 201346
16 201042
17 200142
18 201938
19 201438
20 200937

About Jane E. Libbey

Jane E. Libbey is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Epidemiology, Infectious Diseases and Pathology and Forensic Medicine, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (24 papers), Multiple Sclerosis Research Studies (16 papers), Animal Virus Infections Studies (14 papers), Herpesvirus Infections and Treatments (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (9 papers) and Virology and Viral Diseases (9 papers). The work is most often cited by research in Neurology (488 citations), Biological Psychiatry (94 citations), Immunology (748 citations), Developmental Neuroscience (114 citations) and Pathology and Forensic Medicine (451 citations). Jane E. Libbey has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Robert S. Fujinami, Matthew F. Cusick, Ikuo Tsunoda, Karen S. Wilcox, H. Steve White, Daniel J. Doty, Ana Beatriz DePaula-Silva, Thayne L. Sweeten, Nikki J. Kirkman and William McMahon. Their work appears in journals such as Journal of NeuroVirology, Journal of Neuroimmunology, Journal of Virology, Journal of Neuroinflammation and Epilepsia.

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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