Suguru Tomooka

506 citations
13 papers · 420 · h-index 10

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Dialysis and Renal Disease Management
    • Cell Adhesion Molecules Research

Papers in

Suguru Tomooka

13 papers receiving 407 citations

Peers

Suguru Tomooka
Comparison fields: 5 of 59
  • Nephrology 145
  • Immunology and Allergy 34
  • Hematology 41
  • Cancer Research 49
  • Immunology 68
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Striker Lj United States
Kiichiro Jinde Japan
Jürgen Floege Germany
Ka Bik Lai Hong Kong
M. Haneda Japan
R. Riess Germany
Yuki Takazawa Japan
Uwe Haberstroh Germany
Chun-Gyoo Ihm South Korea
Wynand B.W.H. Melenhorst Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Suguru Tomooka

Since Specialization
Citations

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

Fields of papers citing papers by Suguru Tomooka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1992160
2 199273
3 198643
4
Cerebral ischemia as a causative mechanism for rapid progression of brain atrophy in chronic hemodialysis patients.
200036
5
A new T cell subset expressing B220 and CD4 in lpr mice: defects in the response to mitogens and in the production of IL-2.
198822
6 198819
7 198716
8 199416
9 198514
10
'Radioresistant' CD4-CD8- intrathymic T cell precursors differentiate into mature CD4+CD8- and CD4-CD8+ T cells. Development of 'radioresistant' CD4-CD8- intrathymic T cell precursors.
199010
11 19867
12 20083
13 19841

About Suguru Tomooka

Suguru Tomooka is a scholar working on Nephrology, Molecular Biology, Oncology, Epidemiology and Cancer Research, having authored 13 papers that have together received 420 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (3 papers), Protease and Inhibitor Mechanisms (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Glycosylation and Glycoproteins Research (1 paper), Renal and Vascular Pathologies (1 paper), T-cell and B-cell Immunology (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Central Venous Catheters and Hemodialysis (1 paper). The work is most often cited by research in Nephrology (145 citations), Immunology and Allergy (34 citations), Hematology (41 citations), Cancer Research (49 citations) and Immunology (68 citations). Suguru Tomooka has collaborated with scholars based in Japan and United States. Frequent co-authors include Wayne A. Border, Nancy A. Noble, Bruce C. Marshall, Nancy A. Noble, Tatsuo Yamamoto, Shoji Kagami, Masatoshi Fujishima, Kaoru Onoyama, K Nomoto and Yasunobu Yoshikai. Their work appears in journals such as Kidney International, Clinical Pharmacology & Therapeutics, Immunobiology, ˜The œNephron journals/Nephron journals and The Journal of Immunology.

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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