Sei Yoshida
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Nephrology top 2%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
Papers in
- Cell Biology 11
- Cellular transport and secretion 10
-
- Escherichia coli research studies 5
- Co-authors
- Ken Inoki (8 shared papers)Joel A. Swanson (9 shared papers)Chihiro Sasakawa (4 shared papers)Regina Pacitto (5 shared papers)Sungki Hong (2 shared papers)Tobias Bruno Huber (2 shared papers)Tsukasa Suzuki (2 shared papers)Kun‐Liang Guan (2 shared papers)
- Journals
- Journal of Cell Science (3 papers)Science (2 papers)International Immunopharmacology (2 papers)International Journal of Cancer (2 papers)Journal of Leukocyte Biology (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Sei Yoshida
42 papers receiving 2.8k citations
Sei Yoshida's Hit Papers
Peers
Comparison fields: 5 of 106
- Endocrinology 304
- Nephrology 397
- Aging 67
- Cell Biology 449
- Physiology 96
Countries citing papers authored by Sei Yoshida
This map shows the geographic impact of Sei Yoshida'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 Sei Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sei Yoshida more than expected).
Fields of papers citing papers by Sei Yoshida
This network shows the impact of papers produced by Sei Yoshida. 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 Sei Yoshida. The network helps show where Sei Yoshida may publish in the future.
Co-authors
The 25 scholars most cited alongside Sei Yoshida, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spatial Coupling of mTOR and Autophagy Augments Secretory Phenotypes Hit paper breakdown → | 2011 | 488 |
| 2 | mTORC1 activation in podocytes is a critical step in the development of diabetic nephropathy in mice Hit paper breakdown → | 2011 | 476 |
| 3 | 2012 | 231 | |
| 4 | 2011 | 137 | |
| 5 | 2009 | 135 | |
| 6 | 2004 | 131 | |
| 7 | 2001 | 118 | |
| 8 | 2002 | 105 | |
| 9 | 2017 | 90 | |
| 10 | 2015 | 85 | |
| 11 | 2006 | 78 | |
| 12 | 2009 | 73 | |
| 13 | 2003 | 59 | |
| 14 | 2007 | 56 | |
| 15 | Gains of 1q21-q22 and 13q12-q14 are potential indicators for resistance to cisplatin-based chemotherapy in ovarian cancer patients. | 1999 | 51 |
| 16 | 2015 | 51 | |
| 17 | 2021 | 48 | |
| 18 | 2001 | 47 | |
| 19 | 2011 | 44 | |
| 20 | 2018 | 37 |
About Sei Yoshida
Sei Yoshida is a scholar working on Cell Biology, Endocrinology, Nephrology, Molecular Biology and Immunology, having authored 42 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Escherichia coli research studies (5 papers), Autophagy in Disease and Therapy (5 papers), Pancreatic function and diabetes (4 papers), DNA Repair Mechanisms (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Endocrinology (304 citations), Nephrology (397 citations), Aging (67 citations), Cell Biology (449 citations) and Physiology (96 citations). Sei Yoshida has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Ken Inoki, Joel A. Swanson, Chihiro Sasakawa, Regina Pacitto, Sungki Hong, Tobias Bruno Huber, Tsukasa Suzuki, Kun‐Liang Guan, Akio Abe and Asaomi Kuwae. Their work appears in journals such as Journal of Cell Science, Science, International Immunopharmacology, International Journal of Cancer and Journal of Leukocyte Biology.
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.