Lan Pham
Impact in
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- Circadian rhythm and melatonin
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- Chronic Myeloid Leukemia Treatments
Papers in
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- Immune Cell Function and Interaction 3
- Galectins and Cancer Biology 2
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- Ubiquitin and proteasome pathways 1
- Co-authors
- Nicole Danielle Osier (3 shared papers)Sheila Alexander (3 shared papers)Dianxu Ren (2 shared papers)C. Edward Dixon (2 shared papers)Ava M. Puccio (2 shared papers)Yvette P. Conley (2 shared papers)Yang Hy (1 shared paper)Huiling Yang (1 shared paper)
- Journals
- Blood (6 papers)Applied Nursing Research (1 paper)Clinical Cancer Research (1 paper)Laboratory Investigation (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesCzechiaVietnam
In The Last Decade
Lan Pham
17 papers receiving 222 citations
Peers
Comparison fields: 5 of 46
- Endocrine and Autonomic Systems 31
- Hematology 45
- Genetics 31
- Neurology 23
- Pathology and Forensic Medicine 27
Countries citing papers authored by Lan Pham
This map shows the geographic impact of Lan 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 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 Pham more than expected).
Fields of papers citing papers by Lan Pham
This network shows the impact of papers produced by Lan 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 Pham. The network helps show where Lan Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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
| # | Work | ||
|---|---|---|---|
| 1 | The proteasome inhibitor PS-341 inhibits growth and induces apoptosis in Bcr/Abl-positive cell lines sensitive and resistant to imatinib mesylate. | 2003 | 64 |
| 2 | 2018 | 47 | |
| 3 | 2007 | 46 | |
| 4 | 2017 | 26 | |
| 5 | 2000 | 14 | |
| 6 | 2020 | 9 | |
| 7 | 2016 | 8 | |
| 8 | 2016 | 3 | |
| 9 | 2004 | 3 | |
| 10 | 2015 | 2 | |
| 11 | 2016 | 1 | |
| 12 | 2004 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2024 | 0 |
About Lan Pham
Lan Pham is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Oncology, having authored 18 papers that have together received 229 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Immune Cell Function and Interaction (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Galectins and Cancer Biology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (31 citations), Hematology (45 citations), Genetics (31 citations), Neurology (23 citations) and Pathology and Forensic Medicine (27 citations). Lan Pham has collaborated with scholars based in United States, Czechia and Vietnam. Frequent co-authors include Nicole Danielle Osier, Sheila Alexander, Dianxu Ren, C. Edward Dixon, Ava M. Puccio, Yvette P. Conley, Yang Hy, Huiling Yang, Jiandong Chen and Greg Ball. Their work appears in journals such as Blood, Applied Nursing Research, Clinical Cancer Research, Laboratory Investigation and Oncogene.
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.