Dianna Wu
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 11
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 5
- Oncology 9
- Cancer Immunotherapy and Biomarkers 8
- CAR-T cell therapy research 4
- Co-authors
- Paul B. Chapman (3 shared papers)Irving Goldschneider (4 shared papers)Mitchell Kronenberg (1 shared paper)Stéphane Sidobre (1 shared paper)Neil H. Segal (1 shared paper)Marisa Dolled‐Filhart (7 shared papers)Kenneth Emancipator (7 shared papers)Tyler D. Johnson (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Journal of Clinical Oncology (3 papers)Journal of Thoracic Oncology (2 papers)Clinical Cancer Research (1 paper)Immunology (1 paper)
- Partner nations
- United StatesDenmarkSouth Korea
In The Last Decade
Dianna Wu
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Aging 57
- Immunology 615
- Oncology 470
- Transplantation 17
- Pulmonary and Respiratory Medicine 194
Countries citing papers authored by Dianna Wu
This map shows the geographic impact of Dianna Wu'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 Dianna Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianna Wu more than expected).
Fields of papers citing papers by Dianna Wu
This network shows the impact of papers produced by Dianna Wu. 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 Dianna Wu. The network helps show where Dianna Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dianna Wu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 228 | |
| 2 | 2016 | 129 | |
| 3 | 2011 | 98 | |
| 4 | 2010 | 87 | |
| 5 | 2016 | 78 | |
| 6 | 2006 | 70 | |
| 7 | 1997 | 64 | |
| 8 | 2016 | 56 | |
| 9 | 2004 | 49 | |
| 10 | 1996 | 47 | |
| 11 | 2007 | 47 | |
| 12 | 1999 | 41 | |
| 13 | 2013 | 29 | |
| 14 | 2001 | 19 | |
| 15 | 2010 | 19 | |
| 16 | 2018 | 9 | |
| 17 | 2008 | 9 | |
| 18 | 2014 | 6 | |
| 19 | 2014 | 4 | |
| 20 | 2014 | 3 |
About Dianna Wu
Dianna Wu is a scholar working on Immunology, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Endocrine and Autonomic Systems, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Single-cell and spatial transcriptomics (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Aging (57 citations), Immunology (615 citations), Oncology (470 citations), Transplantation (17 citations) and Pulmonary and Respiratory Medicine (194 citations). Dianna Wu has collaborated with scholars based in United States, Denmark and South Korea. Frequent co-authors include Paul B. Chapman, Irving Goldschneider, Mitchell Kronenberg, Stéphane Sidobre, Neil H. Segal, Marisa Dolled‐Filhart, Kenneth Emancipator, Tyler D. Johnson, Shane L. Rea and Anatoliy I. Yashin. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Oncology, Journal of Thoracic Oncology, Clinical Cancer Research and Immunology.
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.