Ryan T. Phan
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Ubiquitin and proteasome pathways 3
- Genetics 13
- Chronic Lymphocytic Leukemia Research 9
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Co-authors
- Riccardo Dalla‐Favera (7 shared papers)Masumichi Saito (5 shared papers)Yvette M. Piceno (1 shared paper)N. Agersnap Larsen (1 shared paper)Eoin Brodie (1 shared paper)Keith Keller (1 shared paper)Philip Hugenholtz (1 shared paper)Todd Z. DeSantis (1 shared paper)
- Journals
- Blood (3 papers)Nature Immunology (3 papers)BMC Cancer (2 papers)Frontiers in Medicine (2 papers)Gynecologic Oncology (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan T. Phan
39 papers receiving 2.6k citations
Ryan T. Phan's Hit Papers
Peers
Comparison fields: 5 of 132
- Immunology 863
- Genetics 218
- Pathology and Forensic Medicine 356
- Oncology 477
- Molecular Biology 1.2k
Countries citing papers authored by Ryan T. Phan
This map shows the geographic impact of Ryan T. Phan'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 Ryan T. Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Phan more than expected).
Fields of papers citing papers by Ryan T. Phan
This network shows the impact of papers produced by Ryan T. Phan. 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 Ryan T. Phan. The network helps show where Ryan T. Phan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan T. Phan, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes Hit paper breakdown → | 2006 | 894 |
| 2 | The BCL6 proto-oncogene suppresses p53 expression in germinal-centre B cells Hit paper breakdown → | 2004 | 531 |
| 3 | 2012 | 353 | |
| 4 | 2005 | 279 | |
| 5 | 2007 | 206 | |
| 6 | 2009 | 84 | |
| 7 | 2007 | 71 | |
| 8 | 2019 | 31 | |
| 9 | 2018 | 28 | |
| 10 | 2015 | 26 | |
| 11 | 2007 | 20 | |
| 12 | 2015 | 17 | |
| 13 | 2008 | 13 | |
| 14 | 2008 | 10 | |
| 15 | 2004 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2013 | 3 | |
| 20 | 2014 | 3 |
About Ryan T. Phan
Ryan T. Phan is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Hematology and Immunology, having authored 48 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (9 papers), Acute Myeloid Leukemia Research (8 papers), Ovarian cancer diagnosis and treatment (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), T-cell and B-cell Immunology (4 papers), Ubiquitin and proteasome pathways (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Immunology (863 citations), Genetics (218 citations), Pathology and Forensic Medicine (356 citations), Oncology (477 citations) and Molecular Biology (1.2k citations). Ryan T. Phan has collaborated with scholars based in United States. Frequent co-authors include Riccardo Dalla‐Favera, Masumichi Saito, Yvette M. Piceno, N. Agersnap Larsen, Eoin Brodie, Keith Keller, Philip Hugenholtz, Todd Z. DeSantis, Gary L. Andersen and Huifeng Niu. Their work appears in journals such as Blood, Nature Immunology, BMC Cancer, Frontiers in Medicine and Gynecologic Oncology.
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.