Toshiki Watanabe

17.0k citations
279 papers · 11.5k indexed · h-index 55
Topics
T-cell and Retrovirus Studies (133 papers)Vector-Borne Animal Diseases (92 papers)Animal Disease Management and Epidemiology (88 papers)
Partner nations
JapanUnited StatesSpain

In The Last Decade

Toshiki Watanabe

273 papers receiving 11.3k citations

Peers

Toshiki Watanabe
Comparison fields: 5 of 142
  • Immunology 6.8k
  • Ecology, Evolution, Behavior and Systematics 3.4k
  • Agronomy and Crop Science 3.3k
  • Molecular Biology 3.0k
  • Cancer Research 1.7k
Replace William S. Dynan with:
William S. Dynan United States
Takis S. Papas United States
Gérard Zurawski United States
Craig A. Smith Australia
John A. Holt United States
Mitchell R. Smith United States
Torben F. Ørntoft Denmark
Edward A. Clark United States
Seishi Ogawa Japan
Joshua T. Mendell United States
Toshiki Watanabe relative to William S. Dynan United States William S. Dynan's profile →
Citations per field
00.5×6.7×
William S. Dynan · 1×
Citations per year

Countries citing papers authored by Toshiki Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Toshiki Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toshiki Watanabe. 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 Toshiki Watanabe. The network helps show where Toshiki Watanabe may publish in the future.

Co-authorship network of co-authors of Toshiki Watanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiki Watanabe. A scholar is included among the top collaborators of Toshiki Watanabe 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 Toshiki Watanabe. Toshiki Watanabe 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 1
2 1
3 7
4 5
5 9
6 22
7 3
8 11
9 48
10 5
11 24
12 84
13 8
14 18
15 4
16 9
17 41
18
Molecular Studies of Family 18 Chitinases in Animals : Structural and Functional Diversity
3
19 50
20 48

About Toshiki Watanabe

Toshiki Watanabe is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 279 papers that have together received 11.5k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (133 papers), Vector-Borne Animal Diseases (92 papers) and Animal Disease Management and Epidemiology (88 papers). The work is most often cited by research in Agronomy and Crop Science (3.3k citations), Immunology (6.8k citations) and Ecology, Evolution, Behavior and Systematics (3.4k citations). Toshiki Watanabe has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Kazunari Yamaguchi, Ryouichi Horie, Takaomi Ishida, Masako Iwanaga, Makoto Yamagishi, Manabu Mochizuki, Atae Utsunomiya, Kaoru Uchimaru, Kazumi Nakano and Jun‐ichiro Inoue. Their work appears in journals such as Science, New England Journal of Medicine 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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