Mitsuhiro Ueno
Impact in
- Nephrology top 1%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Transplantation top 5%
Papers in ⓘ
- Nephrology 34
- Renal Diseases and Glomerulopathies 29
- Chronic Kidney Disease and Diabetes 7
- Co-authors
- Fumitake Gejyo (37 shared papers)Shinichi Nishi (41 shared papers)Naofumi Imai (27 shared papers)Masaaki Arakawa (20 shared papers)Ichiei Narita (24 shared papers)Takako Saeki (8 shared papers)Minoru Sakatsume (13 shared papers)Hisaki Shimada (13 shared papers)
- Journals
- The Journal of Antibiotics (11 papers)Kidney International (6 papers)The Nephron journals/Nephron journals (4 papers)Hypertension Research (3 papers)Amyloid (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Mitsuhiro Ueno
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 86
- Nephrology 510
- Transplantation 82
- Rheumatology 407
- Hematology 107
- Clinical Biochemistry 58
Countries citing papers authored by Mitsuhiro Ueno
This map shows the geographic impact of Mitsuhiro Ueno'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 Mitsuhiro Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Ueno more than expected).
Fields of papers citing papers by Mitsuhiro Ueno
This network shows the impact of papers produced by Mitsuhiro Ueno. 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 Mitsuhiro Ueno. The network helps show where Mitsuhiro Ueno may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsuhiro Ueno, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 138 | |
| 2 | 2006 | 93 | |
| 3 | 2007 | 78 | |
| 4 | 1992 | 74 | |
| 5 | 2001 | 71 | |
| 6 | 2007 | 49 | |
| 7 | 2006 | 47 | |
| 8 | 2012 | 43 | |
| 9 | 2005 | 41 | |
| 10 | 2000 | 37 | |
| 11 | 1994 | 36 | |
| 12 | 2004 | 33 | |
| 13 | 2006 | 32 | |
| 14 | 1991 | 31 | |
| 15 | 2001 | 30 | |
| 16 | 2005 | 28 | |
| 17 | 1987 | 27 | |
| 18 | 1993 | 25 | |
| 19 | 2000 | 24 | |
| 20 | 1997 | 24 |
About Mitsuhiro Ueno
Mitsuhiro Ueno is a scholar working on Nephrology, Transplantation, Rheumatology, Immunology and Allergy and Immunology, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (29 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers), Vasculitis and related conditions (8 papers), Complement system in diseases (7 papers), Chronic Kidney Disease and Diabetes (7 papers), IgG4-Related and Inflammatory Diseases (6 papers), Microbial Natural Products and Biosynthesis (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Nephrology (510 citations), Transplantation (82 citations), Rheumatology (407 citations), Hematology (107 citations) and Clinical Biochemistry (58 citations). Mitsuhiro Ueno has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Fumitake Gejyo, Shinichi Nishi, Naofumi Imai, Masaaki Arakawa, Ichiei Narita, Takako Saeki, Minoru Sakatsume, Hisaki Shimada, Akihiko Saito and Hajime Yamazaki. Their work appears in journals such as The Journal of Antibiotics, Kidney International, The Nephron journals/Nephron journals, Hypertension Research and Amyloid.
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.