Oki Takeuchi

717 citations
9 papers · 528 · h-index 7

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

    • Renal Diseases and Glomerulopathies 2
    • Peptidase Inhibition and Analysis 2

Oki Takeuchi

8 papers receiving 516 citations

Peers

Oki Takeuchi
Comparison fields: 5 of 66
  • Transplantation 52
  • Aging 36
  • Nephrology 114
  • Physiology 132
  • Cardiology and Cardiovascular Medicine 105
Replace Meike Hömme with:
Meike Hömme Germany
M Rossini Italy
Seo Rin Kim South Korea
Inga Sörensen-Zender Germany
Anne-Roos S. Frenay Netherlands
Dionne M. van der Giezen Netherlands
Arpita Baisantry Germany
Lara Valiño‐Rivas Spain
Amanda Mather Australia
Atsunori Kuwabara Japan
Oki Takeuchi relative to Meike Hömme Germany Meike Hömme's profile →
Citations per field
00.5×5.3×
Meike Hömme · 1×
Citations per year

Countries citing papers authored by Oki Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Oki Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2004287
2 2004141
3 200327
4 200327
5 200920
6 200513
7 200312
8
Partial Amino Acid Sequence of the Purified Precursor of Carboxypeptidase R
19941
9 20010

About Oki Takeuchi

Oki Takeuchi is a scholar working on Nephrology, Oncology, Immunology, Surgery and Molecular Biology, having authored 9 papers that have together received 528 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (2 papers), Peptidase Inhibition and Analysis (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Sodium Intake and Health (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Protein Degradation and Inhibitors (1 paper), Renal and Vascular Pathologies (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Transplantation (52 citations), Aging (36 citations), Nephrology (114 citations), Physiology (132 citations) and Cardiology and Cardiovascular Medicine (105 citations). Oki Takeuchi has collaborated with scholars based in Japan and Canada. Frequent co-authors include Philip F. Halloran, Bernhard M. W. Schmidt, Birgit Sawitzki, Anette Melk, David C. Rayner, Genjiro Kimura, Takeshi Usami, Michio Fukuda, Atsuhiro Yoshida and Naoyuki Nakao. Their work appears in journals such as Kidney International, Journal of the American Society of Nephrology, International Archives of Allergy and Immunology, Hypertension Research and Transplantation.

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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