Mitsuru Seishima

7.7k citations
176 papers · 6.4k indexed · 1 hit paper · h-index 43

Impact in

Papers in

Mitsuru Seishima

172 papers receiving 6.3k citations

Hit Papers

Lack of Interleukin-1β Decreases the Severity of Atherosclerosis in ApoE-Deficient Mice 2003 · 638 citations
6382003202620102018200400600

Peers

Mitsuru Seishima
Comparison fields: 5 of 135
  • Biological Psychiatry 1.2k
  • Behavioral Neuroscience 641
  • Immunology 1.5k
  • Neurology 433
  • Epidemiology 1.4k
Replace Ken‐ichi Isobe with:
Ken‐ichi Isobe Japan
Babak Baban United States
Vishwa Deep Dixit United States
Xiaojuan Li China
Duraisamy Kempuraj United States
Roberta Bianchi Italy
Pierluigi Navarra Italy
Paul N. Moynagh Ireland
Shilpa Buch United States
Mitsuru Seishima relative to Ken‐ichi Isobe Japan Ken‐ichi Isobe's profile →
Citations per field
00.5×3.3×
Ken‐ichi Isobe · 1×
Citations per year

Countries citing papers authored by Mitsuru Seishima

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Seishima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitsuru 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 Mitsuru Seishima Line = papers co-authored together Mitsuru Seishima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20160
2 201620
3 20151
4 201349
5 2012131
6 201123
7
Recommended comparison method for HDL-cholesterol and LDL-cholesterol measurement in serum
20091
8 200933
9 20081
10 200743
11 20074
12 200659
13 200457
14 200248
15 19973
16 19881
17 198711
18 19872
19 19852
20 19801

About Mitsuru Seishima

Mitsuru Seishima is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Immunology, Hepatology and Neurology, having authored 176 papers that have together received 6.4k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (39 papers), Stress Responses and Cortisol (21 papers), Liver Disease Diagnosis and Treatment (17 papers), Immune Cell Function and Interaction (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Immune Response and Inflammation (11 papers), Lipoproteins and Cardiovascular Health (8 papers) and Lymphoma Diagnosis and Treatment (8 papers). The work is most often cited by research in Biological Psychiatry (1.2k citations), Behavioral Neuroscience (641 citations), Immunology (1.5k citations), Neurology (433 citations) and Epidemiology (1.4k citations). Mitsuru Seishima has collaborated with scholars based in Japan, United States and Sudan. Frequent co-authors include Kuniaki Saito, Hisayasu Wada, Kuniaki Saito, Hiroyasu Ito, Hisataka Moriwaki, Masao Takemura, Yasuhiro Yamada, Tamikazu Niwa, Kenji Sekikawa and Hidehiko Fujii. Their work appears in journals such as The Journal of Immunology, Cancer Science, Advances in experimental medicine and biology, European Journal Of Haematology and Clinica Chimica Acta.

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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