Mie Kainoh

668 citations
24 papers · 539 · h-index 14

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Hemostasis and retained surgical items
    • Blood Coagulation and Thrombosis Mechanisms
    • Cell Adhesion Molecules Research

Papers in

Mie Kainoh

23 papers receiving 526 citations

Peers

Mie Kainoh
Comparison fields: 5 of 85
  • Hematology 170
  • Immunology and Allergy 71
  • Nephrology 56
  • Complementary and alternative medicine 35
  • Biochemistry 18
Replace Bruce Lages with:
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Hiroh YAMAZAKI Japan
R W Colman United States
Mark DeNichilo Australia
MB Zucker United States
Shenyin Zhu China
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Citations per field
00.5×7.4×
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Citations per year

Countries citing papers authored by Mie Kainoh

Since Specialization
Citations

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

Fields of papers citing papers by Mie Kainoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200173
2 201870
3 200152
4 200840
5 200239
6 199132
7 201427
8 200320
9 201518
10 201718
11 201417
12 201917
13 201816
14 201514
15 201513
16 201213
17 199213
18 199512
19 200111
20 19938

About Mie Kainoh

Mie Kainoh is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Immunology and Allergy, Molecular Biology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 539 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (9 papers), Cell Adhesion Molecules Research (6 papers), Blood properties and coagulation (6 papers), Dermatology and Skin Diseases (3 papers), Neuropeptides and Animal Physiology (3 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Pancreatic function and diabetes (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Hematology (170 citations), Immunology and Allergy (71 citations), Nephrology (56 citations), Complementary and alternative medicine (35 citations) and Biochemistry (18 citations). Mie Kainoh has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Toshiaki Tanaka, Katsue Suzuki‐Inoue, Yukio Ozaki, Kaneo Satoh, Yutaka Yatomi, Teruo Nakadate, Yasuo Ikeda, Hiroyuki Meguro, Yoshiyuki Ueno and Keishi Miwa. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Pharmacological Sciences, Thrombosis Research, Biochemical and Biophysical Research Communications and Blood.

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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