Rika Fujimaru
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
- Surgery 9
- Pancreatic function and diabetes 6
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- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Kazumoto Iijima (8 shared papers)Tohru Yorifuji (8 shared papers)Yuki Hosokawa (8 shared papers)Rie Kawakita (7 shared papers)Hironori Nagasaka (4 shared papers)Kandai Nozu (4 shared papers)Jun Inatomi (2 shared papers)Atsuko Nakagawa (1 shared paper)
- Journals
- Pediatric Nephrology (3 papers)Pediatric Diabetes (2 papers)Diabetic Medicine (2 papers)BMC Nephrology (1 paper)Journal of Medical Genetics (1 paper)
- Partner nations
- JapanUnited StatesIran
In The Last Decade
Rika Fujimaru
21 papers receiving 532 citations
Peers
Comparison fields: 5 of 56
- Nephrology 132
- Immunology and Allergy 85
- Endocrinology, Diabetes and Metabolism 109
- Hematology 72
- Physiology 27
Countries citing papers authored by Rika Fujimaru
This map shows the geographic impact of Rika 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 Rika Fujimaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rika Fujimaru more than expected).
Fields of papers citing papers by Rika Fujimaru
This network shows the impact of papers produced by Rika 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 Rika Fujimaru. The network helps show where Rika Fujimaru may publish in the future.
Co-authors
The 25 scholars most cited alongside Rika 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 127 | |
| 2 | 2011 | 71 | |
| 3 | 2006 | 41 | |
| 4 | 2016 | 40 | |
| 5 | 2012 | 34 | |
| 6 | 2012 | 33 | |
| 7 | 2014 | 29 | |
| 8 | 2006 | 22 | |
| 9 | 2013 | 22 | |
| 10 | 2014 | 22 | |
| 11 | 2007 | 20 | |
| 12 | 2011 | 16 | |
| 13 | 2015 | 16 | |
| 14 | 2017 | 13 | |
| 15 | 2014 | 11 | |
| 16 | 2018 | 8 | |
| 17 | 2018 | 7 | |
| 18 | [Diagnostic criteria of atypical hemolytic uremic syndrome]. | 2012 | 3 |
| 19 | 2005 | 3 | |
| 20 | 2015 | 2 |
About Rika Fujimaru
Rika Fujimaru is a scholar working on Surgery, Molecular Biology, Nephrology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 21 papers that have together received 542 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Complement system in diseases (6 papers), Renal Diseases and Glomerulopathies (5 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Diabetes Treatment and Management (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Adenosine and Purinergic Signaling (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Nephrology (132 citations), Immunology and Allergy (85 citations), Endocrinology, Diabetes and Metabolism (109 citations), Hematology (72 citations) and Physiology (27 citations). Rika Fujimaru has collaborated with scholars based in Japan, United States and Iran. Frequent co-authors include Kazumoto Iijima, Tohru Yorifuji, Yuki Hosokawa, Rie Kawakita, Hironori Nagasaka, Kandai Nozu, Jun Inatomi, Atsuko Nakagawa, Toshihiro Sawai and Hiroshi Kaito. Their work appears in journals such as Pediatric Nephrology, Pediatric Diabetes, Diabetic Medicine, BMC Nephrology and Journal of Medical Genetics.
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.