Kosuke Ota

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

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
  • Immunology top 10%
    • Galectins and Cancer Biology
    • Toxin Mechanisms and Immunotoxins

Papers in

Kosuke Ota

58 papers receiving 1.0k citations

Peers

Kosuke Ota
Comparison fields: 5 of 120
  • Nephrology 131
  • Immunology 262
  • Hematology 69
  • Molecular Biology 423
  • Immunology and Allergy 34
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Kosuke Ota relative to Naonori Kumagai Japan Naonori Kumagai's profile →
Citations per field
00.5×1.7×
Naonori Kumagai · 1×
Citations per year

Countries citing papers authored by Kosuke Ota

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997245
2 199764
3 200759
4 199950
5 199739
6 199837
7 201336
8 199734
9 200032
10 199830
11 199925
12 200225
13 199923
14 199423
15 200222
16 199621
17 199721
18 200720
19 199518
20 202314

About Kosuke Ota

Kosuke Ota is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Surgery, Nephrology and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (10 papers), Semiconductor materials and devices (8 papers), Renal and related cancers (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Diamond and Carbon-based Materials Research (5 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Connective tissue disorders research (3 papers) and Neurological Complications and Syndromes (3 papers). The work is most often cited by research in Nephrology (131 citations), Immunology (262 citations), Hematology (69 citations), Molecular Biology (423 citations) and Immunology and Allergy (34 citations). Kosuke Ota has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Elisabeth I. Wallner, Jun Wada, Yashpal S. Kanwar, Anil Kumar, Kenichi Shikata, Anil Kumar, Naoki Kashihara, Qiwei Yang, Zensuke Ota and Hirofumi Makino. Their work appears in journals such as American Journal of Nephrology, Kidney International, Journal of Diabetes and its Complications, American Journal of Physiology-Renal Physiology and Proceedings of the National Academy of 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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