Seika Kato

763 citations
25 papers · 649 indexed · h-index 17
Topics
Pancreatic function and diabetes (16 papers)Metabolism, Diabetes, and Cancer (5 papers)Cannabis and Cannabinoid Research (4 papers)
Partner nations
JapanChina

In The Last Decade

Seika Kato

25 papers receiving 628 citations

Peers

Seika Kato
Comparison fields: 5 of 78
  • Surgery 343
  • Molecular Biology 292
  • Endocrinology, Diabetes and Metabolism 174
  • Physiology 116
  • Genetics 108
Replace A.C. Boschero with:
A.C. Boschero Brazil
Ulrikke Voss Sweden
Nancy R. Voyles United States
S. Ishiyama‐Shigemoto Japan
Melvin K. Dea United States
Hedvig Bennet Sweden
Jiang‐Rui Zhou China
Sohei Tsukita Japan
Olga Szabó United States
Mónica García Spain
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Citations per field
00.5×
A.C. Boschero · 1×
Citations per year

Countries citing papers authored by Seika Kato

Since Specialization
Citations

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

Fields of papers citing papers by Seika Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seika Kato

This figure shows the co-authorship network connecting the top 25 collaborators of Seika Kato. A scholar is included among the top collaborators of Seika Kato 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 Seika Kato. Seika Kato 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 46
2 21
3 29
4 16
5 38
6 4
7 16
8
[Thoracic epidural anesthesia for cholecystectomy in a patient after Fontan procedure].
4
9
Ca2+ channel inhibition by endomorphins via the cloned mu-opioid receptor expressed in NG108-15 cells.
16
10 58
11
Evaluation of retinal microcirculatory alterations in the Goto-Kakizaki rat. A spontaneous model of non-insulin-dependent diabetes.
60
12 5
13 23
14 59
15 12
16 20
17 47
18 16
19 77
20 13

About Seika Kato

Seika Kato is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Surgery, having authored 25 papers that have together received 649 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Metabolism, Diabetes, and Cancer (5 papers) and Cannabis and Cannabinoid Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (174 citations), Surgery (343 citations) and Endocrine and Autonomic Systems (50 citations). Seika Kato has collaborated with scholars based in Japan and China. Frequent co-authors include Yutaka Seino, Yoshiyuki Tsuura, Yoshimasa Okamoto, Hitoshi Ishida, Minoru Horie, Hideharu Ishida, Yasunobu Okada, Hitoshi Ikeda, Takeshi Kurose and Kazuo Tsuji. Their work appears in journals such as Journal of Clinical Investigation, Diabetes and Biochemical and Biophysical Research Communications.

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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