Toshimi Imai
- Molecular Biology
- Surgery
- Endocrinology, Diabetes and Metabolism
- Nephrology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Shigeaki MutoMinami WatanabeDaisuke NagataHiromichi YoshizawaYoshiyuki MorishitaKenichi IshibashiTetsu AkimotoTakahiro Masuda
- Topics
- Dialysis and Renal Disease Management (7 papers)Sarcoidosis and Beryllium Toxicity Research (4 papers)Renal Diseases and Glomerulopathies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Physiology-Renal PhysiologyBioMed Research International
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Toshimi Imai
28 papers receiving 336 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 134
- Surgery 113
- Endocrinology, Diabetes and Metabolism 86
- Nephrology 76
- Pulmonary and Respiratory Medicine 70
Countries citing papers authored by Toshimi Imai
This map shows the geographic impact of Toshimi Imai'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 Toshimi Imai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshimi Imai more than expected).
Fields of papers citing papers by Toshimi Imai
This network shows the impact of papers produced by Toshimi Imai. 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 Toshimi Imai. The network helps show where Toshimi Imai may publish in the future.
Co-authorship network of co-authors of Toshimi Imai
This figure shows the co-authorship network connecting the top 25 collaborators of Toshimi Imai. A scholar is included among the top collaborators of Toshimi Imai 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 Toshimi Imai. Toshimi Imai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 17 | |
| 7 | 52 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 86 | |
| 14 | 26 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 7 | |
| 20 | DNA microarray analysis of the epithelial-mesenchymal transition of mesothelial cells in a rat model of peritoneal dialysis. | 4 |
About Toshimi Imai
Toshimi Imai is a scholar working on Nephrology, Internal Medicine and Hepatology, having authored 30 papers that have together received 340 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (7 papers), Sarcoidosis and Beryllium Toxicity Research (4 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Nephrology (76 citations), Endocrinology, Diabetes and Metabolism (86 citations) and Cancer Research (55 citations). Toshimi Imai has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shigeaki Muto, Minami Watanabe, Daisuke Nagata, Hiromichi Yoshizawa, Yoshiyuki Morishita, Kenichi Ishibashi, Tetsu Akimoto, Takahiro Masuda, Daisuke Nagata and Ken Ohara. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Physiology-Renal Physiology and BioMed Research 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.