Takehiro Kobayashi

644 citations
36 papers · 490 · h-index 12

Impact in

    • Cell Adhesion Molecules Research
    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • CRISPR and Genetic Engineering
    • Connexins and lens biology
    • Genomics and Chromatin Dynamics

Papers in

Takehiro Kobayashi

31 papers receiving 474 citations

Peers

Takehiro Kobayashi
Comparison fields: 5 of 86
  • Immunology and Allergy 41
  • Molecular Biology 315
  • Health Informatics 6
  • Cancer Research 55
  • Cell Biology 59
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Rajwinder Dhami United States
Warren V. Johnson United States
Katerina Mardilovich United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Takehiro Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Takehiro Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995150
2 200969
3 199534
4 199728
5 202024
6 199920
7 200319
8 199417
9 200716
10 202313
11 199512
12 200211
13 201210
14 201010
15 200410
16 20238
17 19917
18 20106
19 20254
20 19924

About Takehiro Kobayashi

Takehiro Kobayashi is a scholar working on Molecular Biology, Surgery, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 490 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (4 papers), Cell Adhesion Molecules Research (3 papers), DNA Repair Mechanisms (3 papers), Connective tissue disorders research (3 papers), Anorectal Disease Treatments and Outcomes (3 papers), Anatomy and Medical Technology (2 papers), Ureteral procedures and complications (2 papers) and Surfactants and Colloidal Systems (2 papers). The work is most often cited by research in Immunology and Allergy (41 citations), Molecular Biology (315 citations), Health Informatics (6 citations), Cancer Research (55 citations) and Cell Biology (59 citations). Takehiro Kobayashi has collaborated with scholars based in Japan, Poland and United States. Frequent co-authors include Makoto Uchiyama, Masafumi Saijo, Kiyoji Tanaka, Isao Kuraoka, Yoshimichi Nakatsu, Akira Yasui, Fumio Hanaoka, Kaoru Sugasawa, Akira Nagai and Toshiro Matsuda. Their work appears in journals such as Biochemical and Biophysical Research Communications, Surgical Endoscopy, Journal of Biological Chemistry, International Journal of Infectious Diseases and Anticancer 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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