Ken‐ichi Takeyama

5.2k citations
48 papers · 3.4k indexed · 1 hit paper · h-index 27

Ken‐ichi Takeyama

47 papers receiving 3.3k citations

Hit Papers

Modulation of oestrogen receptor signalling by associatio...6332003202620102018200400600

Peers

Ken‐ichi Takeyama
Comparison fields: 5 of 113
  • Pathology and Forensic Medicine 1.1k
  • Nephrology 277
  • Genetics 948
  • Endocrinology, Diabetes and Metabolism 560
  • Health, Toxicology and Mutagenesis 379
Replace Junn Yanagisawa with:
Junn Yanagisawa Japan
Paul N. MacDonald United States
Kay W. Colston United Kingdom
Margaret Clagett‐Dame United States
Venkatesh Krishnan United States
Ilka Nemere United States
Toshimasa Shinki Japan
Marian R. Walters United States
Enikö Kállay Austria
Dike N. Kalu United States
Ken‐ichi Takeyama relative to Junn Yanagisawa Japan Junn Yanagisawa's profile →
Citations per field
00.5×1.5×
Junn Yanagisawa · 1×
Citations per year

Countries citing papers authored by Ken‐ichi Takeyama

Since Specialization
Citations

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

Fields of papers citing papers by Ken‐ichi Takeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐ichi Takeyama. 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 Ken‐ichi Takeyama. The network helps show where Ken‐ichi Takeyama may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20210
2 201350
3 201241
4 201136
5 201054
6 2008290
7 200827
8 200845
9 200417
10 200414
11 200311
12 20034
13 200363
14 20029
15 199949
16 19983
17 1998126
18 199817
19 1998239
20 199733

About Ken‐ichi Takeyama

Ken‐ichi Takeyama is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Pathology and Forensic Medicine, having authored 48 papers that have together received 3.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (19 papers), Vitamin D Research Studies (14 papers), Hormonal Regulation and Hypertension (7 papers), Sexual Differentiation and Disorders (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Hormonal and reproductive studies (5 papers), Retinoids in leukemia and cellular processes (5 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.1k citations), Nephrology (277 citations) and Genetics (948 citations). Ken‐ichi Takeyama has collaborated with scholars based in Japan, France and Norway. Frequent co-authors include Shigeaki Kato, Sachiko Kitanaka, Junn Yanagisawa, Takashi Sato, Akiko Murayama, Takahiro Μatsumoto, Masato Kobori, Eriko Suzuki, Tatsuo Hosoya and Fumiaki Ohtake. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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