Kaoru Yasuda

1.7k citations
36 papers · 1.2k indexed · h-index 20

Impact in

  • Nephrology top 2%
    • Dialysis and Renal Disease Management
    • Acute Kidney Injury Research
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Parathyroid Disorders and Treatments 7
    • Dialysis and Renal Disease Management 5
    • Chronic Kidney Disease and Diabetes 3
    • Mesenchymal stem cell research 4

Kaoru Yasuda

35 papers receiving 1.2k citations

Peers

Kaoru Yasuda
Comparison fields: 5 of 81
  • Nephrology 285
  • Genetics 203
  • Surgery 423
  • Geriatrics and Gerontology 29
  • Hematology 80
Replace Gangadhar Taduri with:
Gangadhar Taduri India
Rusan Catar Germany
Xiangyang Zhu United States
Kyra L. Jordan United States
Lucas L. Falke Netherlands
Susanne Fleig Germany
Fabio Sangalli Italy
Christoph Schwarz Austria
Cinzia Rota Italy
Claudia Schrimpf Germany
Kaoru Yasuda relative to Gangadhar Taduri India Gangadhar Taduri's profile →
Citations per field
00.5×2.6×
Gangadhar Taduri · 1×
Citations per year

Countries citing papers authored by Kaoru Yasuda

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20234
3 20220
4 202210
5 202113
6 201613
7 201398
8 201319
9 201381
10 201225
11 201252
12 201071
13 2010150
14 201027
15 20109
16 200964
17 200843
18 200736
19 200645
20 200414

About Kaoru Yasuda

Kaoru Yasuda is a scholar working on Nephrology, Genetics, Hematology, Orthopedics and Sports Medicine and Surgery, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (9 papers), Parathyroid Disorders and Treatments (7 papers), Angiogenesis and VEGF in Cancer (7 papers), Renal and related cancers (6 papers), Dialysis and Renal Disease Management (5 papers), Mesenchymal stem cell research (4 papers), Lymphatic System and Diseases (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Nephrology (285 citations), Genetics (203 citations), Surgery (423 citations), Geriatrics and Gerontology (29 citations) and Hematology (80 citations). Kaoru Yasuda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Brian B. Ratliff, Michael S. Goligorsky, Shoichi Maruyama, Seiichi Matsuo, Yasuhiko Ito, Yukio Yuzawa, Hiroshi Takahashi, Praveen Chander, Hirotake Kasuga and Hyeong Cheon Park. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of the American Society of Nephrology, Scientific Reports, American Journal Of Pathology and Cytotherapy.

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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