Haiming Ding
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
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- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
Papers in ⓘ
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- Inflammatory mediators and NSAID effects 3
- Co-authors
- Steven M. D’Ambrosio (8 shared papers)Chunhua Han (8 shared papers)Wenrui Duan (7 shared papers)Miguel A. Villalona‐Calero (6 shared papers)Gregory A. Otterson (6 shared papers)Wei‐Guo Zhu (4 shared papers)Kanur Srinivasan (3 shared papers)Zunyan Dai (2 shared papers)
- Journals
- International Journal of Cancer (5 papers)The Prostate (3 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Molecular Imaging and Biology (2 papers)Nutrition and Cancer (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Haiming Ding
28 papers receiving 868 citations
Peers
Comparison fields: 5 of 102
- Biochemistry 92
- Molecular Biology 514
- Oncology 162
- Pharmacology 100
- Cancer Research 79
Countries citing papers authored by Haiming Ding
This map shows the geographic impact of Haiming 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 Haiming Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiming Ding more than expected).
Fields of papers citing papers by Haiming Ding
This network shows the impact of papers produced by Haiming 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 Haiming Ding. The network helps show where Haiming Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiming 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 217 | |
| 2 | 2004 | 94 | |
| 3 | 2001 | 93 | |
| 4 | 2009 | 88 | |
| 5 | 2005 | 75 | |
| 6 | 2011 | 57 | |
| 7 | 2003 | 34 | |
| 8 | 2016 | 27 | |
| 9 | 2003 | 25 | |
| 10 | 2002 | 24 | |
| 11 | 2017 | 20 | |
| 12 | 2014 | 19 | |
| 13 | 2018 | 18 | |
| 14 | 2013 | 17 | |
| 15 | 2008 | 17 | |
| 16 | 2009 | 12 | |
| 17 | 2012 | 11 | |
| 18 | 2008 | 10 | |
| 19 | 2024 | 8 | |
| 20 | 2018 | 5 |
About Haiming Ding
Haiming Ding is a scholar working on Biochemistry, Pharmacology, Oncology, Molecular Biology and Biotechnology, having authored 30 papers that have together received 898 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Cancer-related gene regulation (5 papers), Neuropeptides and Animal Physiology (4 papers), Epigenetics and DNA Methylation (4 papers), Receptor Mechanisms and Signaling (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Biochemistry (92 citations), Molecular Biology (514 citations), Oncology (162 citations), Pharmacology (100 citations) and Cancer Research (79 citations). Haiming Ding has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Steven M. D’Ambrosio, Chunhua Han, Wenrui Duan, Miguel A. Villalona‐Calero, Gregory A. Otterson, Wei‐Guo Zhu, Kanur Srinivasan, Zunyan Dai, Christoph Plass and A. Douglas Kinghorn. Their work appears in journals such as International Journal of Cancer, The Prostate, The Journal of Clinical Endocrinology & Metabolism, Molecular Imaging and Biology and Nutrition and Cancer.
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.