Jun Xian
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Advanced biosensing and bioanalysis techniques 2
- Cancer therapeutics and mechanisms 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Matthew G. Vander Heiden (1 shared paper)E Harlow (1 shared paper)Lewis C. Cantley (1 shared paper)Hadar Sharfi (1 shared paper)Alexander O. Subtelny (1 shared paper)Heather R. Christofk (1 shared paper)Eli Schuman (1 shared paper)Marcie A. Glicksman (5 shared papers)
- Journals
- SLAS DISCOVERY (2 papers)Proceedings of the National Academy of Sciences (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Chromatography A (2 papers)Journal of Computational and Applied Mathematics (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jun Xian
18 papers receiving 646 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 163
- Aging 15
- Molecular Biology 460
- Modeling and Simulation 28
- Biochemistry 35
Countries citing papers authored by Jun Xian
This map shows the geographic impact of Jun Xian'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 Jun Xian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xian more than expected).
Fields of papers citing papers by Jun Xian
This network shows the impact of papers produced by Jun Xian. 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 Jun Xian. The network helps show where Jun Xian may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 201 | |
| 2 | 2008 | 72 | |
| 3 | 2010 | 65 | |
| 4 | 2012 | 62 | |
| 5 | 2004 | 58 | |
| 6 | 2010 | 49 | |
| 7 | 2008 | 30 | |
| 8 | 1993 | 24 | |
| 9 | 1997 | 21 | |
| 10 | 2021 | 17 | |
| 11 | 2014 | 17 | |
| 12 | 1992 | 11 | |
| 13 | 2008 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2003 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 1 |
About Jun Xian
Jun Xian is a scholar working on Molecular Biology, Organic Chemistry, Mechanics of Materials, Cell Biology and Modeling and Simulation, having authored 18 papers that have together received 662 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer therapeutics and mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers), Numerical methods in engineering (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Numerical methods in inverse problems (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cancer Research (163 citations), Aging (15 citations), Molecular Biology (460 citations), Modeling and Simulation (28 citations) and Biochemistry (35 citations). Jun Xian has collaborated with scholars based in United States, China and France. Frequent co-authors include Matthew G. Vander Heiden, E Harlow, Lewis C. Cantley, Hadar Sharfi, Alexander O. Subtelny, Heather R. Christofk, Eli Schuman, Marcie A. Glicksman, Gregory D. Cuny and Ram P. Singhal. Their work appears in journals such as SLAS DISCOVERY, Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry Letters, Journal of Chromatography A and Journal of Computational and Applied Mathematics.
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.