Takuya Fujimaru
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
-
- Genetic and Kidney Cyst Diseases
Papers in
- Nephrology 12
- Renal Diseases and Glomerulopathies 5
- Chronic Kidney Disease and Diabetes 3
- Genetics 14
- Genetic and Kidney Cyst Diseases 12
- Co-authors
- Ito Shuichi (6 shared papers)Koichi Kamei (6 shared papers)Mai Sato (4 shared papers)Masao Ogura (4 shared papers)Kazumoto Iijima (2 shared papers)Takayasu Mori (17 shared papers)Tomoaki Ishikawa (2 shared papers)Tomohiro Udagawa (1 shared paper)
- Journals
- Kidney International Reports (5 papers)Pediatric Nephrology (3 papers)International Journal of Clinical Oncology (2 papers)Kidney Medicine (2 papers)American Journal of Nephrology (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takuya Fujimaru
47 papers receiving 439 citations
Peers
Comparison fields: 5 of 61
- Nephrology 167
- Genetics 75
- Hematology 29
- Microbiology 2
- Pathology and Forensic Medicine 42
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 71 | |
| 2 | 2014 | 42 | |
| 3 | 2014 | 42 | |
| 4 | 2020 | 37 | |
| 5 | 2010 | 24 | |
| 6 | 2018 | 22 | |
| 7 | 2018 | 22 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 17 | |
| 10 | 2009 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2013 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2025 | 6 | |
| 19 | 2016 | 5 | |
| 20 | 2019 | 5 |
About Takuya Fujimaru
Takuya Fujimaru is a scholar working on Nephrology, Genetics, Pulmonary and Respiratory Medicine, Hematology and Molecular Biology, having authored 55 papers that have together received 448 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (12 papers), Renal and related cancers (9 papers), Electrolyte and hormonal disorders (7 papers), Potassium and Related Disorders (6 papers), Ion Transport and Channel Regulation (6 papers), Renal Diseases and Glomerulopathies (5 papers), Chronic Kidney Disease and Diabetes (3 papers) and Erythropoietin and Anemia Treatment (3 papers). The work is most often cited by research in Nephrology (167 citations), Genetics (75 citations), Hematology (29 citations), Microbiology (2 citations) and Pathology and Forensic Medicine (42 citations). Takuya Fujimaru has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ito Shuichi, Koichi Kamei, Mai Sato, Masao Ogura, Kazumoto Iijima, Takayasu Mori, Tomoaki Ishikawa, Tomohiro Udagawa, Eisei Sohara and Fumiaki Ando. Their work appears in journals such as Kidney International Reports, Pediatric Nephrology, International Journal of Clinical Oncology, Kidney Medicine and American Journal of Nephrology.
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.