Roy Zhang
Impact in
- Epidemiology top 5%
- Cervical Cancer and HPV Research
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Epidemiology 10
- Cervical Cancer and HPV Research 9
- Oncology 6
- Chemokine receptors and signaling 3
- Cancer Cells and Metastasis 2
- Co-authors
- Nicolas Wentzensen (9 shared papers)Rosemary E. Zuna (9 shared papers)Joan L. Walker (9 shared papers)Michael A. Gold (9 shared papers)Richard A. Allen (7 shared papers)S. Terence Dunn (8 shared papers)Mark Schiffman (4 shared papers)Cara Mathews (3 shared papers)
- Journals
- International Journal of Cancer (3 papers)Gynecologic Oncology (2 papers)European Journal of Cardiovascular Nursing (2 papers)Journal of Clinical Oncology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesUnited KingdomPakistan
In The Last Decade
Roy Zhang
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 103
- Epidemiology 642
- Cancer Research 124
- Obstetrics and Gynecology 58
- Microbiology 49
- Oncology 134
Countries citing papers authored by Roy Zhang
This map shows the geographic impact of Roy Zhang'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 Roy Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy Zhang more than expected).
Fields of papers citing papers by Roy Zhang
This network shows the impact of papers produced by Roy Zhang. 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 Roy Zhang. The network helps show where Roy Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Roy Zhang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 187 | |
| 2 | 2014 | 157 | |
| 3 | 2009 | 145 | |
| 4 | 2012 | 102 | |
| 5 | 2019 | 93 | |
| 6 | 2008 | 67 | |
| 7 | 2018 | 57 | |
| 8 | 2017 | 30 | |
| 9 | 2012 | 29 | |
| 10 | 2015 | 24 | |
| 11 | 2016 | 22 | |
| 12 | 2009 | 21 | |
| 13 | 2009 | 16 | |
| 14 | 2018 | 14 | |
| 15 | 2012 | 12 | |
| 16 | 2020 | 9 | |
| 17 | 2012 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2022 | 7 | |
| 20 | 2018 | 6 |
About Roy Zhang
Roy Zhang is a scholar working on Epidemiology, Oncology, Surgery, Molecular Biology and Artificial Intelligence, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (9 papers), AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Chemokine receptors and signaling (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Genital Health and Disease (2 papers), Cancer Cells and Metastasis (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Epidemiology (642 citations), Cancer Research (124 citations), Obstetrics and Gynecology (58 citations), Microbiology (49 citations) and Oncology (134 citations). Roy Zhang has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include Nicolas Wentzensen, Rosemary E. Zuna, Joan L. Walker, Michael A. Gold, Richard A. Allen, S. Terence Dunn, Mark Schiffman, Cara Mathews, Sophia Wang and Sholom Wacholder. Their work appears in journals such as International Journal of Cancer, Gynecologic Oncology, European Journal of Cardiovascular Nursing, Journal of Clinical Oncology and Clinical Cancer Research.
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.