Akihiro Sagara

589 citations
21 papers · 322 · h-index 11

Impact in

  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Dialysis and Renal Disease Management
    • Immune cells in cancer

Papers in

    • Chronic Kidney Disease and Diabetes 4
    • Renal Diseases and Glomerulopathies 3
    • Dialysis and Renal Disease Management 2
    • Immune cells in cancer 2

Akihiro Sagara

21 papers receiving 319 citations

Peers

Akihiro Sagara
Comparison fields: 5 of 63
  • Nephrology 65
  • Immunology 81
  • Pulmonary and Respiratory Medicine 76
  • Pathology and Forensic Medicine 33
  • Rheumatology 27
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Akihiro Sagara relative to Emily Huang United States Emily Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Akihiro Sagara

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Sagara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201767
2 201041
3 201726
4 201520
5 201919
6 201116
7 201515
8 201215
9 201714
10 201312
11 201912
12 202010
13 19889
14 20159
15 20189
16 20138
17 20147
18 20167
19 20153
20 20182

About Akihiro Sagara

Akihiro Sagara is a scholar working on Nephrology, Immunology, Molecular Biology, Rheumatology and Surgery, having authored 21 papers that have together received 322 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (3 papers), Abdominal vascular conditions and treatments (2 papers), Gastroesophageal reflux and treatments (2 papers), Eosinophilic Esophagitis (2 papers), Systemic Lupus Erythematosus Research (2 papers), Immune cells in cancer (2 papers) and Dialysis and Renal Disease Management (2 papers). The work is most often cited by research in Nephrology (65 citations), Immunology (81 citations), Pulmonary and Respiratory Medicine (76 citations), Pathology and Forensic Medicine (33 citations) and Rheumatology (27 citations). Akihiro Sagara has collaborated with scholars based in Japan and United States. Frequent co-authors include Takashi Wada, Kengo Furuichi, Shinji Kitajima, Yasunori Iwata, Tadashi Toyama, Akinori Hara, Norihiko Sakai, Shuichi Kaneko, Miho Shimizu and Yasuyuki Shinozaki. Their work appears in journals such as Scientific Reports, Modern Rheumatology, European Journal of Clinical Microbiology & Infectious Diseases, Nephrology and Laboratory Investigation.

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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