Fumi Takemoto
- Molecular Biology
- Nephrology top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 5%
- Co-authors
- Yoshifumi UbaraKenmei TakaichiKeitaro YokoyamaAkira YamadaShigeko HaraNaoki SawaHideyuki KatoriJunichi Hoshino
- Topics
- Renal Diseases and Glomerulopathies (21 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (19 papers)Parathyroid Disorders and Treatments (13 papers)
- Journals
- Journal of Clinical InvestigationBiochemical and Biophysical Research CommunicationsKidney International
- Partner nations
- JapanUnited States
In The Last Decade
Fumi Takemoto
103 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 568
- Nephrology 497
- Cardiology and Cardiovascular Medicine 496
- Pulmonary and Respiratory Medicine 474
- Physiology 455
Countries citing papers authored by Fumi Takemoto
This map shows the geographic impact of Fumi Takemoto'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 Fumi Takemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumi Takemoto more than expected).
Fields of papers citing papers by Fumi Takemoto
This network shows the impact of papers produced by Fumi Takemoto. 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 Fumi Takemoto. The network helps show where Fumi Takemoto may publish in the future.
Co-authorship network of co-authors of Fumi Takemoto
This figure shows the co-authorship network connecting the top 25 collaborators of Fumi Takemoto. A scholar is included among the top collaborators of Fumi Takemoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fumi Takemoto. Fumi Takemoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 27 | |
| 6 | 11 | |
| 7 | 15 | |
| 8 | 39 | |
| 9 | 15 | |
| 10 | 34 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 63 | |
| 16 | Establishment of linkage analysis strategy for autosomal dominant polycystic kidney disease | 1 |
| 17 | 28 | |
| 18 | 48 | |
| 19 | 7 | |
| 20 | 56 |
About Fumi Takemoto
Fumi Takemoto is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Hepatology, having authored 107 papers that have together received 2.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (21 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (19 papers) and Parathyroid Disorders and Treatments (13 papers). The work is most often cited by research in Nephrology (497 citations), Cardiology and Cardiovascular Medicine (496 citations) and Endocrinology, Diabetes and Metabolism (359 citations). Fumi Takemoto has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshifumi Ubara, Kenmei Takaichi, Keitaro Yokoyama, Akira Yamada, Shigeko Hara, Naoki Sawa, Hideyuki Katori, Junichi Hoshino, Yoshiaki Kawaguchi and Shunya Uchida. Their work appears in journals such as Journal of Clinical Investigation, Biochemical and Biophysical Research Communications and Kidney International.
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.