Shingo Okuno

626 citations
27 papers · 450 · h-index 11

Impact in

  • Nephrology top 2%
    • Dialysis and Renal Disease Management
    • Parathyroid Disorders and Treatments
    • Chronic Kidney Disease and Diabetes
  • Hematology top 10%
    • Erythropoietin and Anemia Treatment

Papers in

    • CAR-T cell therapy research 7
    • Vascular Tumors and Angiosarcomas 2
    • Acute Myeloid Leukemia Research 2

Shingo Okuno

25 papers receiving 432 citations

Peers

Shingo Okuno
Comparison fields: 5 of 56
  • Nephrology 243
  • Hematology 77
  • Endocrinology, Diabetes and Metabolism 68
  • Emergency Medical Services 27
  • Oncology 89
Replace Panagiotis Pateinakis with:
Panagiotis Pateinakis Greece
Cengiz Candan Türkiye
Yudo Tanno Japan
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Citations per field
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Citations per year

Countries citing papers authored by Shingo Okuno

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Okuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008117
2 200262
3 200353
4
Poor muscle quality rather than reduced lean body mass is responsible for the lower serum creatinine level in hemodialysis patients with diabetes mellitus.
201031
5 200831
6 202130
7 201816
8 200313
9 201512
10 200811
11 201811
12 202010
13 20239
14 20187
15 20217
16 20245
17 20085
18 20174
19 20174
20 20173

About Shingo Okuno

Shingo Okuno is a scholar working on Oncology, Hematology, Nephrology, Pulmonary and Respiratory Medicine and Immunology, having authored 27 papers that have together received 450 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Dialysis and Renal Disease Management (3 papers), Vascular Tumors and Angiosarcomas (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Nephrology (243 citations), Hematology (77 citations), Endocrinology, Diabetes and Metabolism (68 citations), Emergency Medical Services (27 citations) and Oncology (89 citations). Shingo Okuno has collaborated with scholars based in Japan, Thailand and Austria. Frequent co-authors include Masaaki Inaba, Yoshiki Nishizawà, E. Ishimura, Tadashi Yamakawa, Yoshifumi Maeno, Kayoko Kitatani, Yoko Nishizawa, Tatsuya Nakatani, T Shoji and Min Ji Kim. Their work appears in journals such as Nephrology Dialysis Transplantation, Blood, Molecular Cancer Therapeutics, Molecular Therapy and Molecular Therapy — Oncolytics.

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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