Shigehiro Doi
Impact in
- Nephrology top 0.5%
- Parathyroid Disorders and Treatments
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Genetics top 5%
- Mesenchymal stem cell research
- Genetic Syndromes and Imprinting
- Genetic and Kidney Cyst Diseases
Papers in
- Nephrology 32
- Parathyroid Disorders and Treatments 13
- Dialysis and Renal Disease Management 10
- Chronic Kidney Disease and Diabetes 9
- Genetics 7
- Mesenchymal stem cell research 6
- Co-authors
- Takao Masaki (63 shared papers)Noriaki Yorioka (16 shared papers)Ayumu Nakashima (46 shared papers)Toshiki Doi (25 shared papers)Nobuoki Kohno (13 shared papers)Osamu Togao (3 shared papers)Toshinori Ueno (20 shared papers)Kensuke Sasaki (18 shared papers)
- Journals
- PLoS ONE (8 papers)Nephrology (4 papers)American Journal of Physiology-Renal Physiology (3 papers)Stem Cell Research & Therapy (3 papers)Nephrology Dialysis Transplantation (3 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Shigehiro Doi
73 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 100
- Nephrology 849
- Genetics 206
- Genetics 293
- Molecular Biology 636
- Radiology, Nuclear Medicine and Imaging 176
Countries citing papers authored by Shigehiro Doi
This map shows the geographic impact of Shigehiro Doi'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 Shigehiro Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigehiro Doi more than expected).
Fields of papers citing papers by Shigehiro Doi
This network shows the impact of papers produced by Shigehiro Doi. 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 Shigehiro Doi. The network helps show where Shigehiro Doi may publish in the future.
Co-authors
The 25 scholars most cited alongside Shigehiro Doi, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 483 | |
| 2 | 2008 | 195 | |
| 3 | 2010 | 145 | |
| 4 | 2013 | 115 | |
| 5 | 2015 | 103 | |
| 6 | 2020 | 92 | |
| 7 | 2010 | 88 | |
| 8 | 2015 | 84 | |
| 9 | 2008 | 51 | |
| 10 | 2021 | 49 | |
| 11 | 2019 | 45 | |
| 12 | 2018 | 43 | |
| 13 | 2001 | 39 | |
| 14 | 2018 | 37 | |
| 15 | 2018 | 36 | |
| 16 | 2016 | 35 | |
| 17 | 2007 | 31 | |
| 18 | 2017 | 27 | |
| 19 | 2014 | 26 | |
| 20 | 2018 | 26 |
About Shigehiro Doi
Shigehiro Doi is a scholar working on Nephrology, Genetics, Emergency Medical Services, Physiology and Nutrition and Dietetics, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (13 papers), Dialysis and Renal Disease Management (10 papers), Chronic Kidney Disease and Diabetes (9 papers), Renal and related cancers (7 papers), Mesenchymal stem cell research (6 papers), Central Venous Catheters and Hemodialysis (5 papers), Epigenetics and DNA Methylation (4 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Nephrology (849 citations), Genetics (206 citations), Genetics (293 citations), Molecular Biology (636 citations) and Radiology, Nuclear Medicine and Imaging (176 citations). Shigehiro Doi has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Takao Masaki, Noriaki Yorioka, Ayumu Nakashima, Toshiki Doi, Nobuoki Kohno, Osamu Togao, Toshinori Ueno, Kensuke Sasaki, Makoto Kuro‐o and Masaya Takahashi. Their work appears in journals such as PLoS ONE, Nephrology, American Journal of Physiology-Renal Physiology, Stem Cell Research & Therapy and Nephrology Dialysis Transplantation.
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.