Neng Yu
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 26
- T-cell and B-cell Immunology 21
- Immune Cell Function and Interaction 18
- Immunotherapy and Immune Responses 7
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- Diabetes Management and Research 9
- Diabetes Management and Education 9
- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Co-authors
- M. Ohashi (14 shared papers)Tatiana Lebedeva (15 shared papers)Edmond J. Yunis (8 shared papers)Wayne Huey‐Herng Sheu (4 shared papers)Olga P. Clavijo (3 shared papers)Shih‐Tzer Tsai (3 shared papers)Cynthia Vierra‐Green (4 shared papers)Stephen R. Spellman (6 shared papers)
- Journals
- Human Immunology (8 papers)Diabetes Research and Clinical Practice (5 papers)PLoS ONE (3 papers)Contemporary Nurse (2 papers)Medicine (2 papers)
- Partner nations
- United StatesTaiwanMexico
In The Last Decade
Neng Yu
52 papers receiving 907 citations
Peers
Comparison fields: 5 of 103
- Immunology 439
- Hematology 178
- Endocrinology, Diabetes and Metabolism 213
- Transplantation 31
- Geriatrics and Gerontology 20
Countries citing papers authored by Neng Yu
This map shows the geographic impact of Neng Yu'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 Neng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neng Yu more than expected).
Fields of papers citing papers by Neng Yu
This network shows the impact of papers produced by Neng Yu. 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 Neng Yu. The network helps show where Neng Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Neng Yu, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 99 | |
| 2 | 2017 | 83 | |
| 3 | 2012 | 69 | |
| 4 | 2012 | 56 | |
| 5 | 2013 | 52 | |
| 6 | 2009 | 43 | |
| 7 | 2016 | 43 | |
| 8 | 2012 | 41 | |
| 9 | 2012 | 36 | |
| 10 | 2001 | 36 | |
| 11 | 2012 | 31 | |
| 12 | 2015 | 24 | |
| 13 | 2001 | 24 | |
| 14 | 2014 | 24 | |
| 15 | 1997 | 22 | |
| 16 | 2009 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2005 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2007 | 17 |
About Neng Yu
Neng Yu is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism, Hematology, Epidemiology and Physiology, having authored 57 papers that have together received 945 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (18 papers), Diabetes Management and Research (9 papers), Diabetes Management and Education (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Immunotherapy and Immune Responses (7 papers), Chronic Disease Management Strategies (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). The work is most often cited by research in Immunology (439 citations), Hematology (178 citations), Endocrinology, Diabetes and Metabolism (213 citations), Transplantation (31 citations) and Geriatrics and Gerontology (20 citations). Neng Yu has collaborated with scholars based in United States, Taiwan and Mexico. Frequent co-authors include M. Ohashi, Tatiana Lebedeva, Edmond J. Yunis, Wayne Huey‐Herng Sheu, Olga P. Clavijo, Shih‐Tzer Tsai, Cynthia Vierra‐Green, Stephen R. Spellman, Harriet Noreen and Marcelo Fernández-Viña. Their work appears in journals such as Human Immunology, Diabetes Research and Clinical Practice, PLoS ONE, Contemporary Nurse and 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.