Robert S. Fujinami

11.1k citations
184 papers · 8.4k indexed · 3 hit papers · h-index 48
Topics
Viral Infections and Immunology Research (60 papers)Animal Virus Infections Studies (38 papers)Multiple Sclerosis Research Studies (35 papers)
Partner nations
United StatesFranceJapan

In The Last Decade

Robert S. Fujinami

182 papers receiving 8.2k citations

Hit Papers

Amino Acid Homology Between the Encephalitogenic Site of ...1985202619982012198520062015200400600

Peers

Robert S. Fujinami
Comparison fields: 5 of 129
  • Immunology 3.0k
  • Epidemiology 1.9k
  • Molecular Biology 1.6k
  • Pathology and Forensic Medicine 1.5k
  • Infectious Diseases 1.4k
Replace Cornelia C. Bergmann with:
Cornelia C. Bergmann United States
Thomas E. Lane United States
Ehud Lavi United States
Stephen A. Stohlman United States
Michel Aguet Switzerland
Jon D. Laman Netherlands
Andrew Murphy United States
Dorian B. McGavern United States
Peter G. E. Kennedy United Kingdom
Peter W. Lampert United States
Robert S. Fujinami relative to Cornelia C. Bergmann United States Cornelia C. Bergmann's profile →
Citations per field
00.5×1.5×2.4×
Cornelia C. Bergmann · 1×
Citations per year

Countries citing papers authored by Robert S. Fujinami

Since Specialization
Citations

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

Fields of papers citing papers by Robert S. Fujinami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert S. Fujinami. 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 Robert S. Fujinami. The network helps show where Robert S. Fujinami may publish in the future.

Co-authorship network of co-authors of Robert S. Fujinami

This figure shows the co-authorship network connecting the top 25 collaborators of Robert S. Fujinami. A scholar is included among the top collaborators of Robert S. Fujinami 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 Robert S. Fujinami. Robert S. Fujinami 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 5
2 80
3 18
4 8
5 96
6 91
7 5
8 17
9 22
10 19
11 10
12 13
13 3
14 88
15 10
16 12
17 31
18 43
19 113
20 24

About Robert S. Fujinami

Robert S. Fujinami is a scholar working on Animal Science and Zoology, Immunology and Cardiology and Cardiovascular Medicine, having authored 184 papers that have together received 8.4k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (60 papers), Animal Virus Infections Studies (38 papers) and Multiple Sclerosis Research Studies (35 papers). The work is most often cited by research in Immunology (3.0k citations), Neurology (1.0k citations) and Pathology and Forensic Medicine (1.5k citations). Robert S. Fujinami has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Jane E. Libbey, Michael B. A. Oldstone, Ikuo Tsunoda, J. Lindsay Whitton, Matthew F. Cusick, Matthias G. von Herrath, H. Steve White, Andreas Zurbriggen, Karen S. Wilcox and Urs Christen. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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