Takuya Fujimaru

636 citations
49 papers · 356 · h-index 9

Impact in

Papers in

    • Renal and related cancers 8
    • Ion Transport and Channel Regulation 6
    • Renal Diseases and Glomerulopathies 6
    • Chronic Kidney Disease and Diabetes 3

Takuya Fujimaru

41 papers receiving 351 citations

Peers

Takuya Fujimaru
Comparison fields: 5 of 59
  • Nephrology 139
  • Microbiology 2
  • Hematology 25
  • Pulmonary and Respiratory Medicine 55
  • Pathology and Forensic Medicine 28
Replace Byoung-Soo Cho with:
Byoung-Soo Cho South Korea
Cengiz Candan Türkiye
Jakub Zieg Czechia
Jin‐Soon Suh South Korea
Laura Florea Romania
Shingo Okuno Japan
Ken‐ichi Samejima Japan
Xiqiang Dang China
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Citations per field
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Citations per year

Countries citing papers authored by Takuya Fujimaru

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Fujimaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201160
2 201439
3 202034
4 201434
5 201820
6 201818
7 201017
8 202016
9 200911
10 20218
11 20138
12 20217
13 20236
14 20245
15 20215
16 20205
17 20165
18 20254
19 20194
20 20204

About Takuya Fujimaru

Takuya Fujimaru is a scholar working on Molecular Biology, Nephrology, Pulmonary and Respiratory Medicine, Genetics and Hematology, having authored 49 papers that have together received 356 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (9 papers), Renal and related cancers (8 papers), Ion Transport and Channel Regulation (6 papers), Electrolyte and hormonal disorders (6 papers), Renal Diseases and Glomerulopathies (6 papers), Potassium and Related Disorders (5 papers), Chronic Kidney Disease and Diabetes (3 papers) and Fetal and Pediatric Neurological Disorders (3 papers). The work is most often cited by research in Nephrology (139 citations), Microbiology (2 citations), Hematology (25 citations), Pulmonary and Respiratory Medicine (55 citations) and Pathology and Forensic Medicine (28 citations). Takuya Fujimaru has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shuichi Ito, Koichi Kamei, Mai Sato, Masao Ogura, Kazumoto Iijima, Tomohiro Udagawa, Tomoaki Ishikawa, Takayasu Mori, Eisei Sohara and Shinichi Uchida. Their work appears in journals such as Kidney International Reports, Pediatric Nephrology, Journal of the American Society of Nephrology, International Journal of Clinical Oncology and Kidney 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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