Jun Xian

799 total citations
18 papers, 662 citations indexed

About

Jun Xian is a scholar working on Molecular Biology, Organic Chemistry and Mechanics of Materials. According to data from OpenAlex, Jun Xian has authored 18 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Mechanics of Materials. Recurrent topics in Jun Xian's work include Fractional Differential Equations Solutions (3 papers), Microtubule and mitosis dynamics (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Jun Xian is often cited by papers focused on Fractional Differential Equations Solutions (3 papers), Microtubule and mitosis dynamics (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Jun Xian collaborates with scholars based in United States, China and France. Jun Xian's co-authors include E Harlow, Alexander O. Subtelny, Matthew G. Vander Heiden, Heather R. Christofk, Eli Schuman, Lewis C. Cantley, Hadar Sharfi, Gregory D. Cuny, Marcie A. Glicksman and Ross L. Stein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Analytical Biochemistry.

In The Last Decade

Jun Xian

18 papers receiving 646 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Xian United States 12 460 163 87 68 59 18 662
Adam G. Schwaid United States 15 996 2.2× 261 1.6× 90 1.0× 100 1.5× 76 1.3× 21 1.2k
Patrick T. Flaherty United States 15 364 0.8× 56 0.3× 139 1.6× 87 1.3× 43 0.7× 44 589
Paavo K.J. Kinnunen Finland 18 505 1.1× 101 0.6× 48 0.6× 52 0.8× 78 1.3× 26 1.0k
Dan Zhou China 15 512 1.1× 105 0.6× 31 0.4× 167 2.5× 44 0.7× 30 1.1k
David Llères France 19 1.3k 2.8× 130 0.8× 80 0.9× 52 0.8× 92 1.6× 24 1.5k
Robert R. Lavieri United States 11 440 1.0× 46 0.3× 63 0.7× 60 0.9× 114 1.9× 17 685
Joseph L. Herman United States 13 542 1.2× 71 0.4× 87 1.0× 58 0.9× 94 1.6× 19 901
Shaofeng Lin China 15 1.0k 2.2× 88 0.5× 28 0.3× 136 2.0× 76 1.3× 27 1.2k
Heejun Hwang South Korea 7 462 1.0× 44 0.3× 45 0.5× 48 0.7× 57 1.0× 9 649
Markus Mueller Switzerland 10 951 2.1× 44 0.3× 32 0.4× 69 1.0× 111 1.9× 13 1.3k

Countries citing papers authored by Jun Xian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jun Xian

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Xian. A scholar is included among the top collaborators of Jun Xian 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 Jun Xian. Jun Xian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Peng, Wei, Zhe Zhang, Zhenwei Wu, et al.. (2023). Abstract 3089: XNW5004: a novel EZH2 inhibitor efficacious in multiple cancer xenograft models as a single agent and in combination studies. Cancer Research. 83(7_Supplement). 3089–3089. 1 indexed citations
2.
Wei, Ting & Jun Xian. (2021). Determining a time-dependent coefficient in a time-fractional diffusion-wave equation with the Caputo derivative by an additional integral condition. Journal of Computational and Applied Mathematics. 404. 113910–113910. 17 indexed citations
3.
Xian, Jun, et al.. (2020). Simultaneous identification of three parameters in a time-fractional diffusion-wave equation by a part of boundary Cauchy data. Applied Mathematics and Computation. 384. 125382–125382. 6 indexed citations
4.
Wei, Ting & Jun Xian. (2019). Variational method for a backward problem for a time-fractional diffusion equation. ESAIM Mathematical Modelling and Numerical Analysis. 53(4). 1223–1244. 7 indexed citations
5.
Zhi, Dejuan, Jun Xian, Yi Ru, et al.. (2016). Functional expression of human serum albumin-tandem thrombopoietin mimetic peptide fusion protein as a novel thrombopoietin analog in Pichia pastoris. Biotechnology Letters. 38(5). 779–785. 7 indexed citations
6.
Zhi, Dejuan, et al.. (2014). Lifespan extension in Caenorhabiditis elegans by several traditional Chinese medicine formulas. Biogerontology. 15(4). 377–387. 17 indexed citations
7.
Cuny, Gregory D., Debasis Patnaik, Jifeng Liu, et al.. (2012). Structure–activity relationship study of beta-carboline derivatives as haspin kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(5). 2015–2019. 62 indexed citations
8.
Colton, Craig K., Qiongman Kong, Li‐Ching Lai, et al.. (2010). Identification of Translational Activators of Glial Glutamate Transporter EAAT2 through Cell-Based High-Throughput Screening: An Approach to Prevent Excitotoxicity. SLAS DISCOVERY. 15(6). 653–662. 65 indexed citations
9.
Cuny, Gregory D., Maxime Robin, Debasis Patnaik, et al.. (2010). Structure–activity relationship study of acridine analogs as haspin and DYRK2 kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 20(12). 3491–3494. 49 indexed citations
10.
Heiden, Matthew G. Vander, Heather R. Christofk, Eli Schuman, et al.. (2009). Identification of small molecule inhibitors of pyruvate kinase M2. Biochemical Pharmacology. 79(8). 1118–1124. 201 indexed citations
11.
Patnaik, Debasis, Jun Xian, Marcie A. Glicksman, et al.. (2008). Identification of Small Molecule Inhibitors of the Mitotic Kinase Haspin by High-Throughput Screening Using a Homogeneous Time-Resolved Fluorescence Resonance Energy Transfer Assay. SLAS DISCOVERY. 13(10). 1025–1034. 30 indexed citations
12.
Xian, Jun, Jie Wei, Marcie A. Glicksman, et al.. (2008). Small-molecule inhibitors of phosphatidylcholine transfer protein/StarD2 identified by high-throughput screening. Analytical Biochemistry. 383(1). 85–92. 8 indexed citations
13.
Grueneberg, Dorre A., Sébastien Degot, Joseph Pearlberg, et al.. (2008). Kinase requirements in human cells: I. Comparing kinase requirements across various cell types. Proceedings of the National Academy of Sciences. 105(43). 16472–16477. 72 indexed citations
14.
Ling, Losee L., Jun Xian, Syed Muhammad Adnan Ali, et al.. (2004). Identification and Characterization of Inhibitors of Bacterial Enoyl-Acyl Carrier Protein Reductase. Antimicrobial Agents and Chemotherapy. 48(5). 1541–1547. 58 indexed citations
15.
Xian, Jun. (2003). Capillary DNA-Protein Mobility Shift Assay. Humana Press eBooks. 163. 355–367. 6 indexed citations
16.
Shipps, Gerald W., et al.. (1997). Synthesis and screening of small molecule libraries active in binding to DNA. Proceedings of the National Academy of Sciences. 94(22). 11833–11838. 21 indexed citations
17.
Singhal, Ram P. & Jun Xian. (1993). Separation of DNA restriction fragments by polymer-solution capillary zone electrophoresis. Journal of Chromatography A. 652(1). 47–56. 24 indexed citations
18.
Singhal, Ram P., et al.. (1992). Separation of dideoxyribonucleosides in trace amounts by automated liquid chromatography and capillary electrophoresis. Journal of Chromatography A. 609(1-2). 147–161. 11 indexed citations

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.

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