Long Trinh
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
- Breast Lesions and Carcinomas
Papers in
- Genetics 10
- Chronic Lymphocytic Leukemia Research 10
-
- Lymphoma Diagnosis and Treatment 6
- Breast Lesions and Carcinomas 3
- Co-authors
- Runqing Lu (5 shared papers)Shibin Ma (5 shared papers)Simanta Pathak (4 shared papers)Malay Mandal (1 shared paper)Marcus R. Clark (1 shared paper)Alessandra Ferrajoli (7 shared papers)Michael J. Keating (7 shared papers)Zeev Estrov (5 shared papers)
- Journals
- Blood (7 papers)Molecular and Cellular Biology (2 papers)The Journal of Immunology (1 paper)Cancer Research (1 paper)Toxicon (1 paper)
- Partner nations
- United StatesVietnamUnited Kingdom
In The Last Decade
Long Trinh
22 papers receiving 705 citations
Peers
Comparison fields: 5 of 51
- Genetics 234
- Pathology and Forensic Medicine 296
- Hematology 149
- Immunology 235
- Cancer Research 156
Countries citing papers authored by Long Trinh
This map shows the geographic impact of Long Trinh'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 Long Trinh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Trinh more than expected).
Fields of papers citing papers by Long Trinh
This network shows the impact of papers produced by Long Trinh. 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 Long Trinh. The network helps show where Long Trinh may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Trinh, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 102 | |
| 2 | 2010 | 98 | |
| 3 | 2014 | 97 | |
| 4 | 2014 | 91 | |
| 5 | 2007 | 84 | |
| 6 | 2006 | 74 | |
| 7 | 2010 | 41 | |
| 8 | 2011 | 36 | |
| 9 | 2013 | 34 | |
| 10 | 2008 | 22 | |
| 11 | 2016 | 18 | |
| 12 | 2005 | 4 | |
| 13 | 2015 | 3 | |
| 14 | 2012 | 2 | |
| 15 | 2011 | 2 | |
| 16 | 2013 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2012 | 1 |
About Long Trinh
Long Trinh is a scholar working on Genetics, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Immunology and Molecular Biology, having authored 22 papers that have together received 716 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (6 papers), Advanced Breast Cancer Therapies (4 papers), Breast Cancer Treatment Studies (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Breast Lesions and Carcinomas (3 papers), Acute Lymphoblastic Leukemia research (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Genetics (234 citations), Pathology and Forensic Medicine (296 citations), Hematology (149 citations), Immunology (235 citations) and Cancer Research (156 citations). Long Trinh has collaborated with scholars based in United States, Vietnam and United Kingdom. Frequent co-authors include Runqing Lu, Shibin Ma, Simanta Pathak, Malay Mandal, Marcus R. Clark, Alessandra Ferrajoli, Michael J. Keating, Zeev Estrov, Susan Lerner and William G. Wierda. Their work appears in journals such as Blood, Molecular and Cellular Biology, The Journal of Immunology, Cancer Research and Toxicon.
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.