Peng Ding
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- Epigenetics and DNA Methylation 8
-
- Semiconductor materials and devices 14
- Advancements in Semiconductor Devices and Circuit Design 13
- Co-authors
- Liqun Zhou (21 shared papers)Yanqing Gong (16 shared papers)Xuesong Li (16 shared papers)Cui-jian Zhang (5 shared papers)Bao Guan (13 shared papers)Zhisong He (7 shared papers)Zhi Jin (17 shared papers)Han Hao (3 shared papers)
- Journals
- Scientific Reports (4 papers)Solid-State Electronics (4 papers)Oncotarget (3 papers)Frontiers in Immunology (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Peng Ding
84 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 135
- Endocrinology 131
- Cancer Research 252
- Oncology 307
- Nephrology 64
- Immunology 147
Countries citing papers authored by Peng Ding
This map shows the geographic impact of Peng Ding'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 Peng Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Ding more than expected).
Fields of papers citing papers by Peng Ding
This network shows the impact of papers produced by Peng Ding. 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 Peng Ding. The network helps show where Peng Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Ding, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 133 | |
| 2 | 2020 | 130 | |
| 3 | 2018 | 88 | |
| 4 | 2018 | 84 | |
| 5 | 2017 | 55 | |
| 6 | 2018 | 54 | |
| 7 | 2015 | 43 | |
| 8 | 2016 | 43 | |
| 9 | 2018 | 39 | |
| 10 | 2018 | 39 | |
| 11 | 2020 | 37 | |
| 12 | 2017 | 37 | |
| 13 | 2019 | 33 | |
| 14 | 2022 | 30 | |
| 15 | 2022 | 29 | |
| 16 | 2019 | 29 | |
| 17 | 2011 | 26 | |
| 18 | 2017 | 24 | |
| 19 | 2022 | 22 | |
| 20 | 2017 | 21 |
About Peng Ding
Peng Ding is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Semiconductor materials and devices (14 papers), Advancements in Semiconductor Devices and Circuit Design (13 papers), Bladder and Urothelial Cancer Treatments (12 papers), Renal cell carcinoma treatment (10 papers), Semiconductor Quantum Structures and Devices (8 papers), Epigenetics and DNA Methylation (8 papers), Ferroptosis and cancer prognosis (7 papers) and Urinary and Genital Oncology Studies (5 papers). The work is most often cited by research in Endocrinology (131 citations), Cancer Research (252 citations), Oncology (307 citations), Nephrology (64 citations) and Immunology (147 citations). Peng Ding has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Liqun Zhou, Yanqing Gong, Xuesong Li, Cui-jian Zhang, Bao Guan, Zhisong He, Zhi Jin, Han Hao, Lu Feng and Shiming He. Their work appears in journals such as Scientific Reports, Solid-State Electronics, Oncotarget, Frontiers in Immunology and International Journal of Molecular Sciences.
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.