Matthew Sung
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
- CAR-T cell therapy research
-
- Monoclonal and Polyclonal Antibodies Research
- Radiopharmaceutical Chemistry and Applications
Papers in
- Oncology 12
- HER2/EGFR in Cancer Research 6
- PARP inhibition in cancer therapy 2
-
- Ubiquitin and proteasome pathways 3
- Advanced Biosensing Techniques and Applications 2
- Cancer therapeutics and mechanisms 2
- Co-authors
- Hans‐Peter Gerber (4 shared papers)Frank Loganzo (4 shared papers)Paraskevi Giannakakou (4 shared papers)Alexandre Matov (3 shared papers)David M. Nanus (2 shared papers)Stephen R. Plymate (1 shared paper)Maria Thadani‐Mulero (1 shared paper)Robert L. Vessella (1 shared paper)
- Journals
- Cancer Research (8 papers)Molecular Cancer Therapeutics (2 papers)Nature Communications (1 paper)Neoplasia (1 paper)Journal of Pharmacokinetics and Pharmacodynamics (1 paper)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Matthew Sung
17 papers receiving 845 citations
Peers
Comparison fields: 5 of 63
- Oncology 423
- Radiology, Nuclear Medicine and Imaging 245
- Cancer Research 141
- Pulmonary and Respiratory Medicine 273
- Immunology and Allergy 21
Countries citing papers authored by Matthew Sung
This map shows the geographic impact of Matthew Sung'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 Matthew Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Sung more than expected).
Fields of papers citing papers by Matthew Sung
This network shows the impact of papers produced by Matthew Sung. 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 Matthew Sung. The network helps show where Matthew Sung may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Sung, 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 | 2014 | 191 | |
| 2 | 2017 | 163 | |
| 3 | 2016 | 161 | |
| 4 | 2014 | 98 | |
| 5 | 2013 | 91 | |
| 6 | 2013 | 46 | |
| 7 | 2014 | 33 | |
| 8 | 2020 | 20 | |
| 9 | 2017 | 17 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2018 | 6 | |
| 13 | 2016 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2025 | 0 |
About Matthew Sung
Matthew Sung is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 854 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), HER2/EGFR in Cancer Research (6 papers), Ubiquitin and proteasome pathways (3 papers), Microtubule and mitosis dynamics (2 papers), Advanced Biosensing Techniques and Applications (2 papers), PARP inhibition in cancer therapy (2 papers), Prostate Cancer Treatment and Research (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Oncology (423 citations), Radiology, Nuclear Medicine and Imaging (245 citations), Cancer Research (141 citations), Pulmonary and Respiratory Medicine (273 citations) and Immunology and Allergy (21 citations). Matthew Sung has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Hans‐Peter Gerber, Frank Loganzo, Paraskevi Giannakakou, Alexandre Matov, David M. Nanus, Stephen R. Plymate, Maria Thadani‐Mulero, Robert L. Vessella, Shihua Sun and Luigi Portella. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Nature Communications, Neoplasia and Journal of Pharmacokinetics and Pharmacodynamics.
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.