Jianghong An
- Molecular Biology top 10%
- Computational Theory and Mathematics top 2%
- Genetics
- Cancer Research
- Materials Chemistry
- Co-authors
- Maxim TotrovRuben AbagyanSteven J.M. JonesYvonne Y. LiAndrew J. MungallMarco A. MarraWilliam T. GibsonRebecca L. Hood
- Topics
- Computational Drug Discovery Methods (7 papers)Protein Structure and Dynamics (4 papers)Genomics and Rare Diseases (2 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Jianghong An
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 865
- Computational Theory and Mathematics 323
- Genetics 159
- Cancer Research 104
- Materials Chemistry 101
Countries citing papers authored by Jianghong An
This map shows the geographic impact of Jianghong An'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 Jianghong An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianghong An more than expected).
Fields of papers citing papers by Jianghong An
This network shows the impact of papers produced by Jianghong An. 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 Jianghong An. The network helps show where Jianghong An may publish in the future.
Co-authorship network of co-authors of Jianghong An
This figure shows the co-authorship network connecting the top 25 collaborators of Jianghong An. A scholar is included among the top collaborators of Jianghong An based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jianghong An. Jianghong An is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 19 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 41 | |
| 6 | 10 | |
| 7 | 11 | |
| 8 | 104 | |
| 9 | 5 | |
| 10 | 196 | |
| 11 | 93 | |
| 12 | 54 | |
| 13 | 60 | |
| 14 | 19 | |
| 15 | A large-scale computational approach to drug repositioning. | 19 |
| 16 | 315 | |
| 17 | Comprehensive identification of "druggable" protein ligand binding sites. | 74 |
| 18 | 18 | |
| 19 | 56 | |
| 20 | Similarity of Compounds and Reactions Based on Self Organized Conceptual Structures of Organic Synthesis Information | 0 |
About Jianghong An
Jianghong An is a scholar working on Computational Theory and Mathematics, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (4 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Computational Theory and Mathematics (323 citations), Molecular Biology (865 citations) and Cancer Research (104 citations). Jianghong An has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Maxim Totrov, Ruben Abagyan, Steven J.M. Jones, Yvonne Y. Li, Andrew J. Mungall, Marco A. Marra, William T. Gibson, Rebecca L. Hood, Shing H. Zhan and Patrice Eydoux. Their work appears in journals such as Journal of Biological Chemistry, Blood and Bioinformatics.
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.