Katsumi Ikeda

7.1k citations
267 papers · 5.8k indexed · h-index 44
Topics
Adipose Tissue and Metabolism (30 papers)Biochemical effects in animals (19 papers)HER2/EGFR in Cancer Research (15 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Katsumi Ikeda

254 papers receiving 5.6k citations

Peers

Katsumi Ikeda
Comparison fields: 5 of 152
  • Molecular Biology 1.4k
  • Physiology 1.1k
  • Pathology and Forensic Medicine 852
  • Endocrinology, Diabetes and Metabolism 811
  • Nutrition and Dietetics 736
Replace Shannon Reagan‐Shaw with:
Shannon Reagan‐Shaw United States
Ki Churl Chang South Korea
Bao Ting Zhu United States
Valérie B. Schini‐Kerth France
Ramaroson Andriantsitohaina France
Yasutake Katoh Japan
Takeshi Nishikawa Japan
Pawan K. Singal Canada
Nobunao Wakabayashi United States
Marschall S. Runge United States
Katsumi Ikeda relative to Shannon Reagan‐Shaw United States Shannon Reagan‐Shaw's profile →
Citations per field
00.5×1.5×1.8×
Shannon Reagan‐Shaw · 1×
Citations per year

Countries citing papers authored by Katsumi Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Katsumi Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsumi Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Katsumi Ikeda. A scholar is included among the top collaborators of Katsumi 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 Katsumi Ikeda. Katsumi 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
#WorkIndexed citations
1 0
2 0
3 147
4 37
5 0
6 33
7 50
8 33
9 8
10 1
11 1
12 25
13 1
14 0
15 1
16 0
17 1
18
1
19
Analysis of an Unidentified Plasma Protein in Spontaneously Hypertensive Rats (SHR)
1
20 3

About Katsumi Ikeda

Katsumi Ikeda is a scholar working on Periodontics, Physiology and Nutrition and Dietetics, having authored 267 papers that have together received 5.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (30 papers), Biochemical effects in animals (19 papers) and HER2/EGFR in Cancer Research (15 papers). The work is most often cited by research in Biochemistry (715 citations), Geriatrics and Gerontology (271 citations) and Endocrinology, Diabetes and Metabolism (811 citations). Katsumi Ikeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yukio Yamori, Yasuo Nara, Jin‐Wen Xu, Kenichi Mizutani, Hiroko Negishi, Yasuhiro Kawai, Longjian Liu, Shunsaku Mizushima, Yoshinari Ogawa and Noriyoshi Kurihara. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

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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