Jun Fan

19.8k total citations · 2 hit papers
73 papers, 3.0k citations indexed

About

Jun Fan is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Jun Fan has authored 73 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 12 papers in Plant Science and 11 papers in Organic Chemistry. Recurrent topics in Jun Fan's work include Advanced Proteomics Techniques and Applications (10 papers), Organoboron and organosilicon chemistry (9 papers) and Synthesis and characterization of novel inorganic/organometallic compounds (8 papers). Jun Fan is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Organoboron and organosilicon chemistry (9 papers) and Synthesis and characterization of novel inorganic/organometallic compounds (8 papers). Jun Fan collaborates with scholars based in China, United Kingdom and United States. Jun Fan's co-authors include Lynn Olinger, C. J. Lammel, Ronald W. Davis, Richard S. Stephens, Sue Kalman, Wayne Mitchell, Qixun Zhao, L. Aravind, Eugene V. Koonin and Roman L. Tatusov and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Jun Fan

71 papers receiving 2.9k citations

Hit Papers

Genome Sequence of an Obligate Intracellular Pathogen of ... 1998 2026 2007 2016 1998 1999 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Fan China 21 1.3k 1.3k 765 382 351 73 3.0k
Rafael Prados‐Rosales Spain 31 1.7k 1.3× 988 0.8× 1.0k 1.4× 928 2.4× 526 1.5× 51 3.7k
M. S. Blake United States 30 1.7k 1.3× 1.3k 1.0× 604 0.8× 400 1.0× 347 1.0× 50 3.9k
Kenneth H. Johnston United States 21 1.6k 1.2× 692 0.6× 485 0.6× 475 1.2× 363 1.0× 41 3.6k
Luís Rivas Spain 43 1.8k 1.3× 1.5k 1.2× 1.3k 1.7× 162 0.4× 236 0.7× 160 5.4k
Peter Hoogerhout Netherlands 28 1.2k 0.9× 778 0.6× 1.0k 1.4× 241 0.6× 140 0.4× 80 2.8k
Timothy A. Mietzner United States 35 1.4k 1.1× 1.1k 0.9× 313 0.4× 396 1.0× 136 0.4× 68 3.2k
Chao-Ming Tsai United States 17 1.3k 1.0× 854 0.7× 530 0.7× 330 0.9× 344 1.0× 34 3.6k
Raymond Lo Canada 14 2.9k 2.2× 402 0.3× 557 0.7× 440 1.2× 421 1.2× 17 4.6k
James E. Bray United Kingdom 27 1.9k 1.4× 348 0.3× 415 0.5× 261 0.7× 135 0.4× 65 3.0k
Christian Heiß United States 30 1.2k 0.9× 180 0.1× 525 0.7× 438 1.1× 374 1.1× 89 2.5k

Countries citing papers authored by Jun Fan

Since Specialization
Citations

This map shows the geographic impact of Jun Fan'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 Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fan more than expected).

Fields of papers citing papers by Jun Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Fan. 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 Fan. The network helps show where Jun Fan may publish in the future.

Co-authorship network of co-authors of Jun Fan

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

All Works

20 of 20 papers shown
2.
Fan, Jun, Sudip Pan, Shenglai Yao, et al.. (2025). From Bis(borylene)-Substituted Xanthenes as Reactive Intermediates to Diboraoxirane Complexes. Journal of the American Chemical Society. 147(8). 6925–6933. 2 indexed citations
4.
Fan, Jun, Jian Xu, Shenglai Yao, et al.. (2024). Silylene-Stabilized Neutral Dibora-Aromatics with a B═B Bond. Journal of the American Chemical Society. 146(29). 20458–20467. 4 indexed citations
5.
Song, Nannan, Jing Wang, Qianqian Qin, et al.. (2024). ZmHSFA2B self‐regulatory loop is critical for heat tolerance in maize. Plant Biotechnology Journal. 23(1). 284–301. 8 indexed citations
6.
Zhang, Di, et al.. (2023). Use of the redox-dependent intein system for enhancing production of the cyclic green fluorescent protein. Protein Expression and Purification. 207. 106272–106272. 1 indexed citations
7.
Bowler-Barnett, Emily, Jun Fan, Jie Luo, et al.. (2023). UniProt and Mass Spectrometry-Based Proteomics—A 2-Way Working Relationship. Molecular & Cellular Proteomics. 22(8). 100591–100591. 16 indexed citations
8.
Chen, Xiaofeng, et al.. (2023). Detection of human annexin A1 as the novel N-terminal tag for separation and purification handle. Microbial Cell Factories. 22(1). 2–2. 5 indexed citations
9.
Li, Yuan, T.K.K. Chamindu Deepagoda, Wei Fu, et al.. (2022). Soil-Gas Diffusivity-Based Characterization of Variably Saturated Agricultural Topsoils. Water. 14(18). 2900–2900. 3 indexed citations
10.
Chen, Yinghua, et al.. (2022). Controlling expression and inhibiting function of the toxin reporter for simple detection of the promoters’ activities in Escherichia coli. Enzyme and Microbial Technology. 158. 110051–110051. 2 indexed citations
11.
Harrison, Peter W., Alexey Sokolov, Jun Fan, et al.. (2021). The FAANG Data Portal: Global, Open-Access, “FAIR”, and Richly Validated Genotype to Phenotype Data for High-Quality Functional Annotation of Animal Genomes. Frontiers in Genetics. 12. 639238–639238. 13 indexed citations
12.
Maringer, Kevin, Kate J. Heesom, Jun Fan, et al.. (2017). Proteomics informed by transcriptomics for characterising active transposable elements and genome annotation in Aedes aegypti. BMC Genomics. 18(1). 101–101. 39 indexed citations
13.
Cheng, Beijiu, et al.. (2014). A new fusion protein platform for quantitatively measuring activity of multiple proteases. Microbial Cell Factories. 13(1). 44–44. 10 indexed citations
14.
González-Galarza, Faviel F., Da Qi, Jun Fan, Conrad Bessant, & Andrew R. Jones. (2013). A tutorial for software development in quantitative proteomics using PSI standard formats. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1844(1). 88–97. 6 indexed citations
15.
González-Galarza, Faviel F., Craig Lawless, Simon J. Hubbard, et al.. (2012). A Critical Appraisal of Techniques, Software Packages, and Standards for Quantitative Proteomic Analysis. OMICS A Journal of Integrative Biology. 16(9). 431–442. 43 indexed citations
16.
Evans, Vanessa, Gary Barker, Kate J. Heesom, et al.. (2012). De novo derivation of proteomes from transcriptomes for transcript and protein identification. Nature Methods. 9(12). 1207–1211. 130 indexed citations
17.
Kuang, Bin, et al.. (2011). Antitumor Cyclic Hexapeptides from Rubia Plants: History, Chemistry, and Mechanism (2005–2011). CHIMIA International Journal for Chemistry. 65(12). 952–952. 26 indexed citations
18.
Archer, John, John W. Pinney, Jun Fan, et al.. (2008). Identifying the Important HIV-1 Recombination Breakpoints. PLoS Computational Biology. 4(9). e1000178–e1000178. 55 indexed citations
19.
Fan, Jun, Matteo Negroni, & David L. Robertson. (2007). The distribution of HIV-1 recombination breakpoints. Infection Genetics and Evolution. 7(6). 717–723. 32 indexed citations
20.
Fan, Jun, et al.. (2006). Cloning, expression, purification, crystallization and preliminary X-ray diffraction analysis of the glutamate-1-semialdehyde aminotransferase fromBacillus subtilis. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 62(5). 483–485. 1 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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