Kinya Takeuchi

11 papers receiving 311 citations

Peers

Kinya Takeuchi
Comparison fields: 5 of 66
  • Hepatology 60
  • Cancer Research 64
  • Hematology 48
  • Immunology and Allergy 20
  • Obstetrics and Gynecology 19
Replace Huimin Ma with:
Huimin Ma China
Yuecheng Yu China
Katsumasa Kobayashi Japan
Xüe-Feng Zhao China
Eufemia Savino Italy
Yifeng Tao China
Ayşe Özer Türkiye
Amy Dresen United States
Diane M. Pierson United States
Mio Endo Japan
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Citations per year

Countries citing papers authored by Kinya Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Kinya Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Establishment of a new human cell line, LI90, exhibiting characteristics of hepatic Ito (fat-storing) cells.
199582
2
Inhibition of the soluble and the tumor cell receptor-bound plasmin by urinary trypsin inhibitor and subsequent effects on tumor cell invasion and metastasis.
199468
3 200743
4 199538
5 200930
6 200430
7 20208
8 20035
9 20055
10
[Influence of carrageenin inflammation on prostaglandin release from rat synovial membrane and action of anti-inflammatory drugs (author's transl)].
19794
11 20042

About Kinya Takeuchi

Kinya Takeuchi is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Epidemiology, Obstetrics and Gynecology and Physiology, having authored 11 papers that have together received 315 indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (2 papers), Pregnancy and preeclampsia studies (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Protease and Inhibitor Mechanisms (2 papers), Blood properties and coagulation (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Hemostasis and retained surgical items (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Hepatology (60 citations), Cancer Research (64 citations), Hematology (48 citations), Immunology and Allergy (20 citations) and Obstetrics and Gynecology (19 citations). Kinya Takeuchi has collaborated with scholars based in Japan and New Zealand. Frequent co-authors include Naohiro Kanayama, Hiromitsu Shinohara, Toshihiko Terao, Mariko Itoh, Michio Fujie, Takao Kobayashi, Toshihiko Asahina, Masato Saitoh, Takashi Matsuura and Takanori Masuda. Their work appears in journals such as Acta Obstetricia Et Gynecologica Scandinavica, Obstetrical & Gynecological Survey, Fertility and Sterility, International Journal of Cancer and Cardiovascular Research.

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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