Jiangming Sun
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Single-cell and spatial transcriptomics
Papers in ⓘ
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- Machine Learning in Bioinformatics 9
- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 6
- Genomics and Phylogenetic Studies 4
- Co-authors
- Ola Engkvist (3 shared papers)Hongming Chen (3 shared papers)Lars Carlsson (3 shared papers)Tonghua Li (12 shared papers)Andreas Edsfeldt (16 shared papers)Wenwei Xiong (9 shared papers)Isabel Gonçalves (15 shared papers)Peisheng Cong (8 shared papers)
- Journals
- PLoS ONE (3 papers)Nature Communications (2 papers)International Journal of Molecular Sciences (2 papers)Talanta (2 papers)Biochimie (2 papers)
- Partner nations
- SwedenChinaUnited States
In The Last Decade
Jiangming Sun
46 papers receiving 739 citations
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 183
- Molecular Biology 414
- Health Informatics 7
- Immunology 104
- Cancer Research 48
Countries citing papers authored by Jiangming Sun
This map shows the geographic impact of Jiangming Sun'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 Jiangming Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangming Sun more than expected).
Fields of papers citing papers by Jiangming Sun
This network shows the impact of papers produced by Jiangming Sun. 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 Jiangming Sun. The network helps show where Jiangming Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiangming Sun, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 133 | |
| 2 | 2023 | 61 | |
| 3 | 2023 | 54 | |
| 4 | 2014 | 47 | |
| 5 | 2017 | 44 | |
| 6 | 2014 | 33 | |
| 7 | 2018 | 28 | |
| 8 | 2011 | 27 | |
| 9 | 2021 | 23 | |
| 10 | 2023 | 20 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 2011 | 15 | |
| 15 | 2013 | 15 | |
| 16 | 2012 | 15 | |
| 17 | 2012 | 14 | |
| 18 | 2011 | 14 | |
| 19 | 2024 | 11 | |
| 20 | 2011 | 10 |
About Jiangming Sun
Jiangming Sun is a scholar working on Immunology and Allergy, Molecular Biology, Cancer Research, Biophysics and Endocrinology, Diabetes and Metabolism, having authored 51 papers that have together received 750 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (9 papers), Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (4 papers), Genetic Associations and Epidemiology (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Computational Drug Discovery Methods (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Computational Theory and Mathematics (183 citations), Molecular Biology (414 citations), Health Informatics (7 citations), Immunology (104 citations) and Cancer Research (48 citations). Jiangming Sun has collaborated with scholars based in Sweden, China and United States. Frequent co-authors include Ola Engkvist, Hongming Chen, Lars Carlsson, Tonghua Li, Andreas Edsfeldt, Wenwei Xiong, Isabel Gonçalves, Peisheng Cong, Jan Nilsson and Jörg K. Wegner. Their work appears in journals such as PLoS ONE, Nature Communications, International Journal of Molecular Sciences, Talanta and Biochimie.
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.