M Seishima

27 papers receiving 925 citations

Peers

M Seishima
Comparison fields: 5 of 80
  • Genetics 231
  • Pathology and Forensic Medicine 324
  • Rheumatology 164
  • Hematology 79
  • Biological Psychiatry 17
Replace Hidekazu Ota with:
Hidekazu Ota Japan
Irmgard Andresen Germany
Kunimasa Yan Japan
Serge Milin France
Gurjeet Bhangal United Kingdom
S. Fleming United Kingdom
Toshiyuki Imasawa Japan
Raffaele Rossiello Italy
Bartolomeo Farzati Italy
Jun Soma Japan
M Seishima relative to Hidekazu Ota Japan Hidekazu Ota's profile →
Citations per field
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Citations per year

Countries citing papers authored by M Seishima

Since Specialization
Citations

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

Fields of papers citing papers by M Seishima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M Seishima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Seishima Line = papers co-authored together M Seishima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989297
2 1997103
3 1995101
4 199596
5 199464
6 199156
7 199742
8 200842
9 199639
10 198819
11 201612
12 199611
13 199510
14 20159
15 20017
16 19967
17 19927
18 19965
19
Effect of long-term physical exercise of peripheral nerve: comparison of nerve conduction study and ultrasonography.
20124
20
[Determination and clinical significance of human hepatocyte growth factor in serum].
19924

About M Seishima

M Seishima is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Epidemiology, Cell Biology and Immunology, having authored 27 papers that have together received 948 indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (5 papers), Skin and Cellular Biology Research (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Tryptophan and brain disorders (3 papers), Stress Responses and Cortisol (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Immune Cell Function and Interaction (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Genetics (231 citations), Pathology and Forensic Medicine (324 citations), Rheumatology (164 citations), Hematology (79 citations) and Biological Psychiatry (17 citations). M Seishima has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuko Osada, Yasuo Kitajima, Akio Noma, Akira Abe, Kazuhiko Makino, Shin Maeda, M Kawade, Takahiro Yamada, Shunji Mori and Takashi Hashimoto. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Dermatological Science, Advances in experimental medicine and biology, Journal of Lipid Research and British Journal of Dermatology.

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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