Pingjian Ding
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Computational Drug Discovery Methods
Papers in
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- Cancer-related molecular mechanisms research 24
- MicroRNA in disease regulation 22
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- Computational Drug Discovery Methods 20
- Co-authors
- Jiawei Luo (33 shared papers)Cheng Liang (23 shared papers)Qiu Xiao (19 shared papers)Guanghui Li (14 shared papers)Jie Long Cai (4 shared papers)Xiangtao Chen (5 shared papers)Rong Xu (8 shared papers)Cong Shen (11 shared papers)
- Journals
- Journal of Biomedical Informatics (7 papers)IEEE Journal of Biomedical and Health Informatics (4 papers)IEEE Access (4 papers)IEEE Transactions on Computational Biology and Bioinformatics (4 papers)Journal of Chemical Information and Modeling (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Pingjian Ding
59 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 731
- Computational Theory and Mathematics 251
- Molecular Biology 973
- Computational Mathematics 8
- Artificial Intelligence 110
Countries citing papers authored by Pingjian Ding
This map shows the geographic impact of Pingjian 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 Pingjian Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingjian Ding more than expected).
Fields of papers citing papers by Pingjian Ding
This network shows the impact of papers produced by Pingjian 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 Pingjian Ding. The network helps show where Pingjian Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingjian 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 226 | |
| 2 | 2016 | 71 | |
| 3 | 2018 | 68 | |
| 4 | 2022 | 65 | |
| 5 | 2017 | 61 | |
| 6 | 2018 | 57 | |
| 7 | 2017 | 53 | |
| 8 | 2019 | 49 | |
| 9 | 2018 | 47 | |
| 10 | 2019 | 46 | |
| 11 | 2020 | 41 | |
| 12 | 2018 | 29 | |
| 13 | 2018 | 28 | |
| 14 | 2016 | 28 | |
| 15 | 2018 | 23 | |
| 16 | 2018 | 23 | |
| 17 | 2020 | 20 | |
| 18 | 2020 | 20 | |
| 19 | 2022 | 19 | |
| 20 | 2020 | 19 |
About Pingjian Ding
Pingjian Ding is a scholar working on Cancer Research, Computational Theory and Mathematics, Molecular Biology, Pharmacology and Artificial Intelligence, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (24 papers), MicroRNA in disease regulation (22 papers), Computational Drug Discovery Methods (20 papers), Bioinformatics and Genomic Networks (18 papers), RNA modifications and cancer (12 papers), Machine Learning in Bioinformatics (11 papers), Circular RNAs in diseases (11 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Cancer Research (731 citations), Computational Theory and Mathematics (251 citations), Molecular Biology (973 citations), Computational Mathematics (8 citations) and Artificial Intelligence (110 citations). Pingjian Ding has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jiawei Luo, Cheng Liang, Qiu Xiao, Guanghui Li, Jie Long Cai, Xiangtao Chen, Rong Xu, Cong Shen, Jiawei Luo and Rui Yin. Their work appears in journals such as Journal of Biomedical Informatics, IEEE Journal of Biomedical and Health Informatics, IEEE Access, IEEE Transactions on Computational Biology and Bioinformatics and Journal of Chemical Information and Modeling.
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.