Suzanne M. Matsui

1.5k citations
19 papers · 1.1k indexed · h-index 14
Topics
Viral gastroenteritis research and epidemiology (14 papers)Virus-based gene therapy research (10 papers)Animal Virus Infections Studies (5 papers)
Partner nations
United StatesMexico

In The Last Decade

Suzanne M. Matsui

19 papers receiving 1.1k citations

Peers

Suzanne M. Matsui
Comparison fields: 5 of 80
  • Infectious Diseases 652
  • Animal Science and Zoology 322
  • Genetics 305
  • Cardiology and Cardiovascular Medicine 235
  • Clinical Biochemistry 193
Replace Tooru Nakao with:
Tooru Nakao Japan
M.N. Guédiche Tunisia
I Mutz Austria
Takeshi Tajima Japan
Dino Sgarabotto Italy
David W. Strong United States
Lloyd C. Olson United States
Nick Bexfield United Kingdom
Monroe M. Vincent United States
Cristina Andrés Spain
Suzanne M. Matsui relative to Tooru Nakao Japan Tooru Nakao's profile →
Citations per field
00.5×3.3×
Tooru Nakao · 1×
Citations per year

Countries citing papers authored by Suzanne M. Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne M. Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne M. Matsui. 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 Suzanne M. Matsui. The network helps show where Suzanne M. Matsui may publish in the future.

Co-authorship network of co-authors of Suzanne M. Matsui

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne M. Matsui. A scholar is included among the top collaborators of Suzanne M. Matsui 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 Suzanne M. Matsui. Suzanne M. Matsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 52
2 2
3 1
4 96
5 1
6 34
7 35
8 31
9 26
10 68
11 20
12 5
13 90
14 14
15 3
16 193
17 102
18 103
19 223

About Suzanne M. Matsui

Suzanne M. Matsui is a scholar working on Infectious Diseases, Animal Science and Zoology and Genetics, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (14 papers), Virus-based gene therapy research (10 papers) and Animal Virus Infections Studies (5 papers). The work is most often cited by research in Infectious Diseases (652 citations), Animal Science and Zoology (322 citations) and Clinical Biochemistry (193 citations). Suzanne M. Matsui has collaborated with scholars based in United States and Mexico. Frequent co-authors include Harry B. Greenberg, León E. Rosenberg, Maurice J. Mahoney, Erich R. Mackow, N Ginzton, Joanna M. Gilbert, David T. Kiang, Ute Geigenmüller, Kalyani Maganti and Ramsey Cheung. Their work appears in journals such as New England Journal of Medicine, Gastroenterology and Journal of Molecular Biology.

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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