Naoki Sawa

3.4k citations
264 papers · 2.2k indexed · h-index 25

Impact in

  • Nephrology top 0.5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Parathyroid Disorders and Treatments

Papers in

    • Renal Diseases and Glomerulopathies 82
    • Parathyroid Disorders and Treatments 27
    • Chronic Kidney Disease and Diabetes 22

Naoki Sawa

238 papers receiving 2.2k citations

Peers

Naoki Sawa
Comparison fields: 5 of 87
  • Nephrology 893
  • Rheumatology 355
  • Genetics 578
  • Pulmonary and Respiratory Medicine 523
  • Orthopedics and Sports Medicine 132
Replace Tatsuya Suwabe with:
Tatsuya Suwabe Japan
Kenmei Takaichi Japan
Noriko Hayami Japan
Keiichi Sumida Japan
Yoshifumi Ubara Japan
Eiko Hasegawa Japan
Rikako Hiramatsu Japan
Amr El‐Husseini Egypt
Jean‐Paul Fermand France
J O'donnell New Zealand
Naoki Sawa relative to Tatsuya Suwabe Japan Tatsuya Suwabe's profile →
Citations per field
00.5×1.5×
Tatsuya Suwabe · 1×
Citations per year

Countries citing papers authored by Naoki Sawa

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Sawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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20 20181

About Naoki Sawa

Naoki Sawa is a scholar working on Nephrology, Rheumatology, Pulmonary and Respiratory Medicine, Genetics and Hematology, having authored 264 papers that have together received 2.2k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (82 papers), Genetic and Kidney Cyst Diseases (48 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (46 papers), Vasculitis and related conditions (34 papers), Parathyroid Disorders and Treatments (27 papers), Chronic Kidney Disease and Diabetes (22 papers), Renal and Vascular Pathologies (17 papers) and Renal and related cancers (16 papers). The work is most often cited by research in Nephrology (893 citations), Rheumatology (355 citations), Genetics (578 citations), Pulmonary and Respiratory Medicine (523 citations) and Orthopedics and Sports Medicine (132 citations). Naoki Sawa has collaborated with scholars based in Japan, United States and Argentina. Frequent co-authors include Yoshifumi Ubara, Junichi Hoshino, Tatsuya Suwabe, Kenmei Takaichi, Masayuki Yamanouchi, Noriko Hayami, Eiko Hasegawa, Keiichi Sumida, Rikako Hiramatsu and Kenichi Ohashi. Their work appears in journals such as Clinical Nephrology, Modern Rheumatology, American Journal of Kidney Diseases, BMC Nephrology and Internal Medicine.

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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