Tomoo Ueno
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Adrenal Hormones and Disorders
Papers in
- Immunology 15
- T-cell and B-cell Immunology 13
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 7
- Co-authors
- Yousuke Takahama (13 shared papers)Richard L. Boyd (10 shared papers)Daniel H.D. Gray (7 shared papers)Natalie Seach (6 shared papers)Martin Lipp (4 shared papers)Fumi Saito (5 shared papers)Andrew M. Lew (1 shared paper)Christopher C. Goodnow (1 shared paper)
- Journals
- The Journal of Immunology (6 papers)Blood (3 papers)Immunity (2 papers)Current Opinion in Immunology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Tomoo Ueno
23 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 87
- Immunology 1.5k
- Endocrinology, Diabetes and Metabolism 327
- Oncology 512
- Endocrine and Autonomic Systems 108
- Hematology 175
Countries citing papers authored by Tomoo Ueno
This map shows the geographic impact of Tomoo 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 Tomoo Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoo Ueno more than expected).
Fields of papers citing papers by Tomoo Ueno
This network shows the impact of papers produced by Tomoo 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 Tomoo Ueno. The network helps show where Tomoo Ueno may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoo 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 354 | |
| 2 | 2004 | 300 | |
| 3 | 2006 | 234 | |
| 4 | 2002 | 184 | |
| 5 | 2004 | 170 | |
| 6 | 2007 | 163 | |
| 7 | 2001 | 134 | |
| 8 | 2004 | 113 | |
| 9 | 2008 | 87 | |
| 10 | 2007 | 72 | |
| 11 | 2008 | 68 | |
| 12 | 2005 | 64 | |
| 13 | 2004 | 59 | |
| 14 | 2007 | 56 | |
| 15 | 2003 | 46 | |
| 16 | 2010 | 41 | |
| 17 | 2015 | 27 | |
| 18 | 2004 | 25 | |
| 19 | 2000 | 21 | |
| 20 | 2003 | 19 |
About Tomoo Ueno
Tomoo Ueno is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (7 papers), Adrenal Hormones and Disorders (3 papers), Toxic Organic Pollutants Impact (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Neonatal Respiratory Health Research (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Immunology (1.5k citations), Endocrinology, Diabetes and Metabolism (327 citations), Oncology (512 citations), Endocrine and Autonomic Systems (108 citations) and Hematology (175 citations). Tomoo Ueno has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Yousuke Takahama, Richard L. Boyd, Daniel H.D. Gray, Natalie Seach, Martin Lipp, Fumi Saito, Andrew M. Lew, Christopher C. Goodnow, Adrian Liston and Hideki Nakano. Their work appears in journals such as The Journal of Immunology, Blood, Immunity, Current Opinion in Immunology and The Journal of Experimental Medicine.
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.