Kejiang Lin
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Oncology
- Organic Chemistry
- Materials Chemistry
- Topics
- Computational Drug Discovery Methods (8 papers)Cancer therapeutics and mechanisms (4 papers)Machine Learning in Materials Science (3 papers)
In The Last Decade
Kejiang Lin
33 papers receiving 454 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 263
- Computational Theory and Mathematics 115
- Oncology 71
- Organic Chemistry 65
- Materials Chemistry 63
Countries citing papers authored by Kejiang Lin
This map shows the geographic impact of Kejiang Lin'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 Kejiang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejiang Lin more than expected).
Fields of papers citing papers by Kejiang Lin
This network shows the impact of papers produced by Kejiang Lin. 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 Kejiang Lin. The network helps show where Kejiang Lin may publish in the future.
Co-authorship network of co-authors of Kejiang Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Kejiang Lin. A scholar is included among the top collaborators of Kejiang Lin 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 Kejiang Lin. Kejiang Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 28 | |
| 4 | 13 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 47 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 13 | |
| 11 | 13 | |
| 12 | 10 | |
| 13 | 7 | |
| 14 | 23 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 5 |
About Kejiang Lin
Kejiang Lin is a scholar working on Aging, Computational Theory and Mathematics and Complementary and alternative medicine, having authored 33 papers that have together received 463 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Cancer therapeutics and mechanisms (4 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Computational Theory and Mathematics (115 citations), Molecular Biology (263 citations) and Toxicology (12 citations). Kejiang Lin has collaborated with scholars based in China, Taiwan and Macao. Frequent co-authors include Hequan Yao, Xuanyi Li, Rui Xie, Lingyi Huang, Li‐Ping Sun, Zhi-Qiang Bai, Likun Zhang, Mingxiang Zhang, Huayu Liu and Xin Chen. Their work appears in journals such as Molecules, Journal of Ethnopharmacology and European Journal of Medicinal Chemistry.
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.