K Suyama

1.4k citations
52 papers · 1.1k · h-index 19

Impact in

Papers in

K Suyama

52 papers receiving 1.0k citations

Peers

K Suyama
Comparison fields: 5 of 82
  • Pulmonary and Respiratory Medicine 587
  • Rheumatology 241
  • Hematology 176
  • Cancer Research 129
  • Physiology 156
Replace Mario Eisenberger with:
Mario Eisenberger United States
Michael H. Weinstein United States
Judith A. Finlay United States
Eric N.P. Subong United States
Nicola Calvani Italy
Sameer Jhavar United States
Lian Xu China
Siew‐Kee Low Japan
Géralyn C. Trudel United States
Sabine Zumstein-Mecker Switzerland
K Suyama relative to Mario Eisenberger United States Mario Eisenberger's profile →
Citations per field
00.5×4.2×
Mario Eisenberger · 1×
Citations per year

Countries citing papers authored by K Suyama

Since Specialization
Citations

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

Fields of papers citing papers by K Suyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998194
2 2013103
3 200395
4
Genomic instability of microsatellite repeats in prostate cancer: relationship to clinicopathological variables.
199556
5 199854
6 199354
7 199544
8 201243
9 201239
10 199723
11 198823
12 199923
13 199523
14 199423
15 200120
16 199919
17 200318
18 200318
19 199018
20 199215

About K Suyama

K Suyama is a scholar working on Pulmonary and Respiratory Medicine, Hematology, Physiology, Rheumatology and Oncology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (21 papers), Prostate Cancer Treatment and Research (20 papers), Blood groups and transfusion (14 papers), Erythrocyte Function and Pathophysiology (11 papers), Urologic and reproductive health conditions (9 papers), Blood disorders and treatments (4 papers), Colorectal Cancer Screening and Detection (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (587 citations), Rheumatology (241 citations), Hematology (176 citations), Cancer Research (129 citations) and Physiology (156 citations). K Suyama has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Jordan Goldstein, Makoto Ohori, Shin Egawa, Thomas M. Wheeler, Michael W. Kattan, Ken Koshiba, Shigehiro Soh, Sadahito Kuwao, Atsushi Arakawa and Özdal Dillioğlugil. Their work appears in journals such as Blood, International Journal of Urology, Prostate Cancer and Prostatic Diseases, Urology and The Journal of Urology.

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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