Eijiro Watanabe

3.9k citations
18 papers · 1.5k indexed · 1 hit paper · h-index 15
Topics
Metabolism, Diabetes, and Cancer (5 papers)Adipose Tissue and Metabolism (4 papers)Peroxisome Proliferator-Activated Receptors (4 papers)

In The Last Decade

Eijiro Watanabe

18 papers receiving 1.5k citations

Hit Papers

Visceral adipose tissue-derived serine protease inhibitor...20052026201220192005100200300400500

Peers

Eijiro Watanabe
Comparison fields: 5 of 100
  • Molecular Biology 620
  • Epidemiology 561
  • Physiology 499
  • Endocrine and Autonomic Systems 229
  • Genetics 201
Replace Kim Bell‐Anderson with:
Kim Bell‐Anderson Australia
Benny Chang United States
Matthew R. Gangl United States
Laurie J. Minze United States
Émilie Stolarczyk United Kingdom
Stephanie M. DeYoung United States
Agné Kulyté Sweden
Lynn M. Geletka United States
Yongguo Li China
Geoffrey Paltser Canada
Eijiro Watanabe relative to Kim Bell‐Anderson Australia Kim Bell‐Anderson's profile →
Citations per field
00.5×1.5×1.9×
Kim Bell‐Anderson · 1×
Citations per year

Countries citing papers authored by Eijiro Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Eijiro Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eijiro Watanabe

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 46
2 20
3 25
4 94
5 47
6 29
7 11
8 9
9 42
10 3
11 29
12 239
13 72
14
Visceral adipose tissue-derived serine protease inhibitor: A unique insulin-sensitizing adipocytokine in obesitybreakdown →
572
15 57
16 92
17 72
18 31

About Eijiro Watanabe

Eijiro Watanabe is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Medicine and Molecular Biology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (229 citations), Physiology (499 citations) and Epidemiology (561 citations). Eijiro Watanabe has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yasushi Matsuki, Ryuji Hiramatsu, Masato Kasuga, Wataru Ogawa, Jun Eguchi, Atsuko Nakatsuka, Jun Wada, Hiroshi Inoue, Hirofumi Makino and Izumi Hashimoto. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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