Takuya Fujimaru
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
-
- Platelet Disorders and Treatments
Papers in
-
- Renal and related cancers 10
- Ion Transport and Channel Regulation 7
- Nephrology 17
- Renal Diseases and Glomerulopathies 8
- Dialysis and Renal Disease Management 4
- Co-authors
- Koichi Kamei (6 shared papers)Shuichi Ito (6 shared papers)Mai Sato (4 shared papers)Masao Ogura (4 shared papers)Kazumoto Iijima (2 shared papers)Tomoaki Ishikawa (2 shared papers)Takayasu Mori (18 shared papers)Tomohiro Udagawa (1 shared paper)
- Journals
- Kidney International Reports (4 papers)Pediatric Nephrology (3 papers)Kidney Medicine (2 papers)Journal of the American Society of Nephrology (2 papers)International Journal of Clinical Oncology (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takuya Fujimaru
39 papers receiving 335 citations
Peers
Comparison fields: 5 of 61
- Nephrology 148
- Hematology 47
- Genetics 36
- Pathology and Forensic Medicine 53
- Microbiology 2
Countries citing papers authored by Takuya Fujimaru
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
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.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 59 | |
| 2 | 2014 | 39 | |
| 3 | 2020 | 34 | |
| 4 | 2014 | 34 | |
| 5 | 2018 | 20 | |
| 6 | 2010 | 17 | |
| 7 | 2018 | 17 | |
| 8 | 2020 | 15 | |
| 9 | 2009 | 10 | |
| 10 | 2013 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2019 | 4 |
About Takuya Fujimaru
Takuya Fujimaru is a scholar working on Molecular Biology, Nephrology, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 48 papers that have together received 340 indexed citations. Recurring topics across this work include Renal and related cancers (10 papers), Genetic and Kidney Cyst Diseases (9 papers), Renal Diseases and Glomerulopathies (8 papers), Ion Transport and Channel Regulation (7 papers), Electrolyte and hormonal disorders (6 papers), Potassium and Related Disorders (5 papers), Dialysis and Renal Disease Management (4 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Nephrology (148 citations), Hematology (47 citations), Genetics (36 citations), Pathology and Forensic Medicine (53 citations) and Microbiology (2 citations). Takuya Fujimaru has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Koichi Kamei, Shuichi Ito, Mai Sato, Masao Ogura, Kazumoto Iijima, Tomoaki Ishikawa, Takayasu Mori, Tomohiro Udagawa, Eisei Sohara and Fumiaki Ando. Their work appears in journals such as Kidney International Reports, Pediatric Nephrology, Kidney Medicine, Journal of the American Society of Nephrology and International Journal of Clinical Oncology.
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.