Seishi Kimura

479 total citations
18 papers, 394 citations indexed

About

Seishi Kimura is a scholar working on Immunology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Seishi Kimura has authored 18 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Oncology. Recurrent topics in Seishi Kimura's work include Anesthesia and Neurotoxicity Research (3 papers), Antimicrobial Peptides and Activities (3 papers) and Immune Response and Inflammation (3 papers). Seishi Kimura is often cited by papers focused on Anesthesia and Neurotoxicity Research (3 papers), Antimicrobial Peptides and Activities (3 papers) and Immune Response and Inflammation (3 papers). Seishi Kimura collaborates with scholars based in Japan. Seishi Kimura's co-authors include Hiroaki Takeda, Mitsunori Yamakawa, Fujiro Sendo, Wataru Kimura, Shuho Semba, Sumio Kawata, Shigeru Arai, Shinichi Nakao, S Arai and Yoichi Robertus Fujii and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and International Journal of Cancer.

In The Last Decade

Seishi Kimura

17 papers receiving 385 citations

Peers

Seishi Kimura
Comparison fields: 5 of 67
  • Molecular Biology 182
  • Oncology 137
  • Immunology 64
  • Pathology and Forensic Medicine 45
  • Pulmonary and Respiratory Medicine 41
Replace Jiajing Cai with:
Jiajing Cai China
Ling Jin China
Harumi Yamazaki Japan
Ryoichi Motoki Japan
Elise Pretzsch Germany
K. Eriksen Denmark
A. K. Wilson United States
Raymond E. Menard United States
Mulugeta M. Zegeye Sweden
Jiajing Cai China View profile →
Citations per field, relative to Seishi Kimura
Seishi Kimura · 1×
Citations per year, relative to Seishi Kimura
Seishi Kimura · 1×

Countries citing papers authored by Seishi Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Seishi Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seishi Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Seishi Kimura. A scholar is included among the top collaborators of Seishi Kimura 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 Seishi Kimura. Seishi Kimura 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
# Work Indexed citations
1 1
2 6
3 5
4 35
5 14
6 3
7 2
8
[A patient with advanced breast cancer who developed bacterial meningitis after chemotherapy].
0
9 125
10 11
11 88
12 4
13 2
14
Production of factor(s) that render polymorphonuclear leukocytes cytostatic from spleen cells stimulated with a streptococcal preparation, OK-432.
17
15
In vivo antitumor effect of lymphokine-activated rodent polymorphonuclear leukocytes.
19
16 11
17 3
18 48

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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