Lan V. Pham
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
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- Lymphoma Diagnosis and Treatment 29
-
- Ubiquitin and proteasome pathways 11
- Co-authors
- R. Ford (48 shared papers)Archito T. Tamayo (33 shared papers)Linda C. Yoshimura (10 shared papers)Piao Lo (2 shared papers)Yen-Chiu Lin-Lee (6 shared papers)Lingchen Fu (8 shared papers)Michael Wang (20 shared papers)L. Jeffrey Medeiros (8 shared papers)
- Journals
- Blood (31 papers)Oncotarget (4 papers)Journal of Biological Chemistry (3 papers)Molecular Cancer Therapeutics (2 papers)Journal of Hematology & Oncology (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Lan V. Pham
57 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 87
- Genetics 354
- Pathology and Forensic Medicine 544
- Immunology 544
- Cancer Research 290
- Oncology 505
Countries citing papers authored by Lan V. Pham
This map shows the geographic impact of Lan V. Pham'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 Lan V. Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan V. Pham more than expected).
Fields of papers citing papers by Lan V. Pham
This network shows the impact of papers produced by Lan V. Pham. 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 Lan V. Pham. The network helps show where Lan V. Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan V. Pham, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 276 | |
| 2 | 2006 | 137 | |
| 3 | 2002 | 102 | |
| 4 | 2005 | 96 | |
| 5 | 2009 | 95 | |
| 6 | 2012 | 83 | |
| 7 | 2012 | 77 | |
| 8 | 2018 | 76 | |
| 9 | 2009 | 71 | |
| 10 | 2018 | 64 | |
| 11 | 2016 | 59 | |
| 12 | 2010 | 54 | |
| 13 | 2019 | 47 | |
| 14 | 2010 | 46 | |
| 15 | 2006 | 43 | |
| 16 | 2016 | 41 | |
| 17 | 2010 | 39 | |
| 18 | 2007 | 34 | |
| 19 | 2018 | 33 | |
| 20 | 2007 | 28 |
About Lan V. Pham
Lan V. Pham is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Oncology, Immunology and Genetics, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (29 papers), Chronic Lymphocytic Leukemia Research (16 papers), Immune Cell Function and Interaction (13 papers), NF-κB Signaling Pathways (12 papers), Ubiquitin and proteasome pathways (11 papers), CAR-T cell therapy research (10 papers), Immune Response and Inflammation (5 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Genetics (354 citations), Pathology and Forensic Medicine (544 citations), Immunology (544 citations), Cancer Research (290 citations) and Oncology (505 citations). Lan V. Pham has collaborated with scholars based in United States, China and Japan. Frequent co-authors include R. Ford, Archito T. Tamayo, Linda C. Yoshimura, Piao Lo, Yen-Chiu Lin-Lee, Lingchen Fu, Michael Wang, L. Jeffrey Medeiros, Changping Li and Ken H. Young. Their work appears in journals such as Blood, Oncotarget, Journal of Biological Chemistry, Molecular Cancer Therapeutics and Journal of Hematology & 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.