Mark Tong
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetic Associations and Epidemiology
Papers in
-
- Biomedical Text Mining and Ontologies 1
- Gene expression and cancer classification 1
- Bioinformatics and Genomic Networks 1
- Genetics 2
- Genomics and Rare Diseases 2
- Genetic Associations and Epidemiology 1
- Genomic variations and chromosomal abnormalities 1
- Co-authors
- Christopher A. Cassa (2 shared papers)Daniel M. Jordan (1 shared paper)Chan Kk (1 shared paper)Chlebowski Rt (1 shared paper)Block Jb (1 shared paper)Rimma Pivovarov (1 shared paper)Todd F. DeLuca (1 shared paper)Peter J. Tonellato (1 shared paper)
- Journals
- Bioinformatics (1 paper)Biophysical Journal (1 paper)Human Mutation (1 paper)BMC Medical Genomics (1 paper)PubMed (2 papers)
- Partner nations
- United States
In The Last Decade
Mark Tong
6 papers receiving 243 citations
Peers
Comparison fields: 5 of 62
- Hepatology 62
- Genetics 81
- Cancer Research 38
- Pathology and Forensic Medicine 25
- Oncology 31
Countries citing papers authored by Mark Tong
This map shows the geographic impact of Mark Tong'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 Mark Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Tong more than expected).
Fields of papers citing papers by Mark Tong
This network shows the impact of papers produced by Mark Tong. 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 Mark Tong. The network helps show where Mark Tong may publish in the future.
Co-authors
The 15 scholars most cited alongside Mark Tong, 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 | Doxorubicin (75 mg/m2) for hepatocellular carcinoma: clinical and pharmacokinetic results. | 1984 | 93 |
| 2 | 2013 | 67 | |
| 3 | 2010 | 46 | |
| 4 | Confocal imaging of the alpha 6 and beta 4 integrin subunits in the human cornea with aging. | 1993 | 27 |
| 5 | 2011 | 18 | |
| 6 | 2011 | 1 |
About Mark Tong
Mark Tong is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Oncology and Artificial Intelligence, having authored 6 papers that have together received 252 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (2 papers), Biomedical Text Mining and Ontologies (1 paper), Gene expression and cancer classification (1 paper), Bayesian Modeling and Causal Inference (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Bioinformatics and Genomic Networks (1 paper), Genetic Associations and Epidemiology (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Hepatology (62 citations), Genetics (81 citations), Cancer Research (38 citations), Pathology and Forensic Medicine (25 citations) and Oncology (31 citations). Mark Tong has collaborated with scholars based in United States. Frequent co-authors include Christopher A. Cassa, Daniel M. Jordan, Chan Kk, Chlebowski Rt, Block Jb, Rimma Pivovarov, Todd F. DeLuca, Peter J. Tonellato, Vickery Trinkaus‐Randall and Peter Thomas. Their work appears in journals such as Bioinformatics, Biophysical Journal, Human Mutation, BMC Medical Genomics and PubMed.
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.