Mark Wong
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Oncology top 10%
- Colorectal Cancer Treatments and Studies
- Cancer Immunotherapy and Biomarkers
- Cancer Treatment and Pharmacology
- Drug Transport and Resistance Mechanisms
Papers in ⓘ
- Oncology 20
- Colorectal Cancer Treatments and Studies 10
- Cancer Immunotherapy and Biomarkers 5
- Colorectal Cancer Surgical Treatments 3
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- Genetic factors in colorectal cancer 7
- Co-authors
- Howard Gurney (8 shared papers)Bavanthi Balakrishnar (6 shared papers)Bo Gao (4 shared papers)Arthur Clements (1 shared paper)Massimo Aglietta (6 shared papers)Michael J. Overman (6 shared papers)Eric Van Cutsem (6 shared papers)Rosemary L. Balleine (4 shared papers)
- Journals
- Journal of Clinical Oncology (11 papers)The Breast (2 papers)Clinical Cancer Research (1 paper)Hepatology (1 paper)Cancers (1 paper)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Mark Wong
26 papers receiving 648 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 132
- Oncology 393
- Genetics 83
- Biochemistry 49
- Pathology and Forensic Medicine 110
Countries citing papers authored by Mark Wong
This map shows the geographic impact of Mark Wong'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 Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Wong more than expected).
Fields of papers citing papers by Mark Wong
This network shows the impact of papers produced by Mark Wong. 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 Wong. The network helps show where Mark Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Wong, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 158 | |
| 2 | 2016 | 64 | |
| 3 | 2014 | 54 | |
| 4 | 2018 | 51 | |
| 5 | 2006 | 47 | |
| 6 | 2013 | 43 | |
| 7 | 2016 | 41 | |
| 8 | 2018 | 38 | |
| 9 | 2020 | 32 | |
| 10 | 2022 | 25 | |
| 11 | 2024 | 24 | |
| 12 | 2013 | 22 | |
| 13 | 2012 | 14 | |
| 14 | 2015 | 13 | |
| 15 | 2019 | 9 | |
| 16 | 2020 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2015 | 2 |
About Mark Wong
Mark Wong is a scholar working on Oncology, Pathology and Forensic Medicine, Surgery, Pulmonary and Respiratory Medicine and Pharmacology, having authored 27 papers that have together received 658 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (10 papers), Genetic factors in colorectal cancer (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Colorectal and Anal Carcinomas (3 papers), Colorectal Cancer Surgical Treatments (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Pharmacology (132 citations), Oncology (393 citations), Genetics (83 citations), Biochemistry (49 citations) and Pathology and Forensic Medicine (110 citations). Mark Wong has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Howard Gurney, Bavanthi Balakrishnar, Bo Gao, Arthur Clements, Massimo Aglietta, Michael J. Overman, Eric Van Cutsem, Rosemary L. Balleine, Bart Neyns and Alain Hendlisz. Their work appears in journals such as Journal of Clinical Oncology, The Breast, Clinical Cancer Research, Hepatology and Cancers.
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.