Hao Ding
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- RNA Research and Splicing 5
- Angiogenesis and VEGF in Cancer 4
- DNA Repair Mechanisms 3
- Ubiquitin and proteasome pathways 3
-
- Cancer, Hypoxia, and Metabolism 7
- Cancer-related molecular mechanisms research 3
- Co-authors
- András Nagy (6 shared papers)Alexandra Belayew (4 shared papers)Junwei Yang (4 shared papers)Xiaoli Wu (2 shared papers)Luba Roncari (3 shared papers)Désiré Collen (3 shared papers)Stéphane Plaisance (2 shared papers)M.-C. Beckers (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Medicine (2 papers)OncoTargets and Therapy (2 papers)PLoS ONE (2 papers)Digestive Diseases and Sciences (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hao Ding
103 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 441
- Genetics 305
- Molecular Biology 1.6k
- Nephrology 141
- Aging 33
Countries citing papers authored by Hao Ding
This map shows the geographic impact of Hao 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 Hao Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Ding more than expected).
Fields of papers citing papers by Hao Ding
This network shows the impact of papers produced by Hao 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 Hao Ding. The network helps show where Hao Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 290 | |
| 2 | 2004 | 257 | |
| 3 | Astrocyte-specific expression of activated p21-ras results in malignant astrocytoma formation in a transgenic mouse model of human gliomas. | 2001 | 225 |
| 4 | 2017 | 210 | |
| 5 | 2004 | 187 | |
| 6 | 2021 | 68 | |
| 7 | 2000 | 67 | |
| 8 | 1999 | 66 | |
| 9 | 2013 | 64 | |
| 10 | 2016 | 63 | |
| 11 | 2021 | 60 | |
| 12 | 2001 | 59 | |
| 13 | 2016 | 57 | |
| 14 | 2013 | 55 | |
| 15 | 2017 | 55 | |
| 16 | 2017 | 52 | |
| 17 | 2010 | 48 | |
| 18 | 2015 | 47 | |
| 19 | 1996 | 44 | |
| 20 | 1998 | 44 |
About Hao Ding
Hao Ding is a scholar working on Molecular Biology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Surgery, having authored 112 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), RNA Research and Splicing (5 papers), Angiogenesis and VEGF in Cancer (4 papers), DNA Repair Mechanisms (3 papers), Ubiquitin and proteasome pathways (3 papers), Dialysis and Renal Disease Management (3 papers), Mesenchymal stem cell research (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (441 citations), Genetics (305 citations), Molecular Biology (1.6k citations), Nephrology (141 citations) and Aging (33 citations). Hao Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include András Nagy, Alexandra Belayew, Junwei Yang, Xiaoli Wu, Luba Roncari, Désiré Collen, Stéphane Plaisance, M.-C. Beckers, Patrick Tam and Nelson C. Lau. Their work appears in journals such as Journal of Biological Chemistry, Medicine, OncoTargets and Therapy, PLoS ONE and Digestive Diseases and 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.