Hiroya Takami
- Molecular Biology
- Cell Biology top 5%
- Immunology and Allergy top 5%
- Genetics
- Nephrology top 5%
- Co-authors
- Yoshihiko YamadaEri Arikawa‐HirasawaJohn R. HassellHideto WatanabeHidekazu ShigematsuK. NakazawaMarie ClassonShinichi Ohno
- Topics
- Chronic Kidney Disease and Diabetes (4 papers)Renal Diseases and Glomerulopathies (4 papers)Connective tissue disorders research (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Hiroya Takami
15 papers receiving 711 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 369
- Cell Biology 306
- Immunology and Allergy 168
- Genetics 127
- Nephrology 102
Countries citing papers authored by Hiroya Takami
This map shows the geographic impact of Hiroya Takami'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 Hiroya Takami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroya Takami more than expected).
Fields of papers citing papers by Hiroya Takami
This network shows the impact of papers produced by Hiroya Takami. 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 Hiroya Takami. The network helps show where Hiroya Takami may publish in the future.
Co-authorship network of co-authors of Hiroya Takami
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroya Takami. A scholar is included among the top collaborators of Hiroya Takami 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 Hiroya Takami. Hiroya Takami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 17 | |
| 5 | 113 | |
| 6 | 428 | |
| 7 | 11 | |
| 8 | Stereoscopic study of renal proximal tubular basement membrane by quick-freezing and deep-etching method. | 1 |
| 9 | 12 | |
| 10 | 17 | |
| 11 | 36 | |
| 12 | 20 | |
| 13 | 17 | |
| 14 | Spontaneous rupture of the quadriceps tendon in patients on maintenance hemodialysis--report of three cases with clinicopathological observations. | 28 |
| 15 | [Utility of CA19-9 and CEA as tumor marker in colorectal cancer--comparison between serum level and distribution]. | 2 |
| 16 | [Accumulation mechanism of 201Tl--K-contents and Na, K-ATPase activities of tissues]. | 5 |
About Hiroya Takami
Hiroya Takami is a scholar working on Nephrology, Immunology and Allergy and Orthopedics and Sports Medicine, having authored 16 papers that have together received 724 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Connective tissue disorders research (2 papers). The work is most often cited by research in Immunology and Allergy (168 citations), Cell Biology (306 citations) and Nephrology (102 citations). Hiroya Takami has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshihiko Yamada, Eri Arikawa‐Hirasawa, John R. Hassell, Hideto Watanabe, Hidekazu Shigematsu, K. Nakazawa, Marie Classon, Shinichi Ohno, Barry Fine and Kang-Quan Hu. Their work appears in journals such as Nature Genetics, Kidney International and Developmental Cell.
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.