Masaki Ikemoto

955 citations
40 papers · 808 indexed · h-index 17
Topics
S100 Proteins and Annexins (14 papers)Metabolism and Genetic Disorders (13 papers)Immune Response and Inflammation (7 papers)

In The Last Decade

Masaki Ikemoto

39 papers receiving 790 citations

Peers

Masaki Ikemoto
Comparison fields: 5 of 87
  • Molecular Biology 428
  • Immunology 197
  • Cardiology and Cardiovascular Medicine 177
  • Epidemiology 119
  • Surgery 113
Replace Sanja Ćurčić with:
Sanja Ćurčić Austria
Monica Locatelli Italy
Minoru Tozuka Japan
Mamoru Ikemoto Japan
Manal Zabalawi United States
Matthew Gage United Kingdom
Jonathan Vigne France
Dhanunjay Mukhi United States
Xinming Xie China
Hideto Ishii Japan
Masaki Ikemoto relative to Sanja Ćurčić Austria Sanja Ćurčić's profile →
Citations per field
00.5×2.9×
Sanja Ćurčić · 1×
Citations per year

Countries citing papers authored by Masaki Ikemoto

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Ikemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Ikemoto

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Ikemoto. A scholar is included among the top collaborators of Masaki Ikemoto 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 Masaki Ikemoto. Masaki Ikemoto 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 2
2 10
3 12
4 48
5 1
6 22
7 17
8 25
9 52
10 7
11 48
12 36
13 10
14
Increased Serum Levels of Myeloid-related Protein Is a Sensitive Marker for Acute Coronary Syndrome in Patients With Coronary Artery Disease
1
15 9
16 8
17 25
18 17
19 2
20 18

About Masaki Ikemoto

Masaki Ikemoto is a scholar working on Clinical Biochemistry, Biochemistry and Immunology, having authored 40 papers that have together received 808 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (14 papers), Metabolism and Genetic Disorders (13 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Clinical Biochemistry (100 citations), Immunology (197 citations) and Biochemistry (64 citations). Masaki Ikemoto has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Masatoshi Fujita, Hiroshi Murayama, Masayuki Totani, Hiroshi Itoh, Fumio Terasaki, Ryuji Nohara, Shunichi Tamaki, Atsuo Nagata, Yoshihiro Fukuda and Kohki Okada. Their work appears in journals such as Circulation, Biochemical Journal and International Journal of Molecular Sciences.

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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