Danny Tam
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Liver Disease Diagnosis and Treatment 4
- Hepatitis B Virus Studies 3
- Co-authors
- Gerald McMahon (3 shared papers)Michael P. Bova (5 shared papers)Joshua C. Brumberg (3 shared papers)Julie C. Lougheed (3 shared papers)Dane E. Karr (4 shared papers)Kwang‐Ai Won (1 shared paper)Toshihiro Yamaguchi (1 shared paper)F. Michael Yakes (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)Journal of Hepatology (2 papers)Annals of the Rheumatic Diseases (2 papers)Molecular Cancer Therapeutics (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesAustraliaTürkiye
In The Last Decade
Danny Tam
25 papers receiving 839 citations
Peers
Comparison fields: 5 of 89
- Hepatology 142
- Genetics 84
- Pathology and Forensic Medicine 135
- Molecular Biology 449
- Oncology 144
Countries citing papers authored by Danny Tam
This map shows the geographic impact of Danny Tam'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 Danny Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Tam more than expected).
Fields of papers citing papers by Danny Tam
This network shows the impact of papers produced by Danny Tam. 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 Danny Tam. The network helps show where Danny Tam may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Tam, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 282 | |
| 2 | 2017 | 84 | |
| 3 | 2017 | 76 | |
| 4 | 2004 | 68 | |
| 5 | 2004 | 48 | |
| 6 | 2003 | 32 | |
| 7 | 2008 | 31 | |
| 8 | 2017 | 31 | |
| 9 | 2012 | 30 | |
| 10 | 2008 | 28 | |
| 11 | 2013 | 24 | |
| 12 | 2013 | 23 | |
| 13 | 2017 | 22 | |
| 14 | 2013 | 21 | |
| 15 | 2011 | 13 | |
| 16 | 2013 | 10 | |
| 17 | 2015 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2015 | 8 | |
| 20 | 2013 | 6 |
About Danny Tam
Danny Tam is a scholar working on Molecular Biology, Epidemiology, Hepatology, Organic Chemistry and Genetics, having authored 25 papers that have together received 870 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Computational Drug Discovery Methods (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Hepatology (142 citations), Genetics (84 citations), Pathology and Forensic Medicine (135 citations), Molecular Biology (449 citations) and Oncology (144 citations). Danny Tam has collaborated with scholars based in United States, Australia and Türkiye. Frequent co-authors include Gerald McMahon, Michael P. Bova, Joshua C. Brumberg, Julie C. Lougheed, Dane E. Karr, Kwang‐Ai Won, Toshihiro Yamaguchi, F. Michael Yakes, Jenny Tan and Richard Wooster. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Hepatology, Annals of the Rheumatic Diseases, Molecular Cancer Therapeutics and Journal of Pharmacology and Experimental Therapeutics.
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.