Keiichi Ikeda

1.8k total citations
110 papers, 1.4k citations indexed

About

Keiichi Ikeda is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Keiichi Ikeda has authored 110 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 18 papers in Physiology and 15 papers in Surgery. Recurrent topics in Keiichi Ikeda's work include Hormonal Regulation and Hypertension (12 papers), Stress Responses and Cortisol (12 papers) and Neuroblastoma Research and Treatments (10 papers). Keiichi Ikeda is often cited by papers focused on Hormonal Regulation and Hypertension (12 papers), Stress Responses and Cortisol (12 papers) and Neuroblastoma Research and Treatments (10 papers). Keiichi Ikeda collaborates with scholars based in Japan, United States and South Korea. Keiichi Ikeda's co-authors include Fumiyuki Yamakura, Katsuyoshi Tojo, Akira Nakagawara, Ken Higashi, Tatsuo Hosoya, Kazuwa Nakao, Yoshinobu Manome, Kouki Fujioka, Tohru Tsuda and Naoko Tajima and has published in prestigious journals such as Water Research, Biochemistry and Cancer.

In The Last Decade

Keiichi Ikeda

106 papers receiving 1.4k citations

Peers

Keiichi Ikeda
Comparison fields: 5 of 128
  • Molecular Biology 456
  • Physiology 272
  • Neurology 207
  • Surgery 185
  • Behavioral Neuroscience 167
Replace Andrey А. Svistunov with:
Andrey А. Svistunov Russia
Francesca Silvagno Italy
Richard J. Comi United States
Giacomo Lazzarino Italy
Yuval Samuni Israel
Yuan Zhou China
Carlota Saldanha Portugal
M Husain United States
Johan Palmfeldt Denmark
Rie Yamamoto Japan
Andrey А. Svistunov Russia View profile →
Citations per field, relative to Keiichi Ikeda
Keiichi Ikeda · 1×
Citations per year, relative to Keiichi Ikeda
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Countries citing papers authored by Keiichi Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiichi Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Ikeda. A scholar is included among the top collaborators of Keiichi Ikeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keiichi Ikeda. Keiichi Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 1
4 1
5 59
6 33
7
Blockade of angiotensin II type 1 receptor by telmisartan suppressed activation of human hepatic stellate cells
1
8 61
9 2
10 1
11 2
12 28
13 2
14 3
15 19
16 41
17 21
18 8
19 4
20 26

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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