Jun Lan

10.9k total citations · 1 hit paper
36 papers, 4.8k citations indexed

About

Jun Lan is a scholar working on Infectious Diseases, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Jun Lan has authored 36 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 7 papers in Animal Science and Zoology and 6 papers in Molecular Biology. Recurrent topics in Jun Lan's work include SARS-CoV-2 and COVID-19 Research (16 papers), COVID-19 Clinical Research Studies (9 papers) and Animal Virus Infections Studies (7 papers). Jun Lan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (16 papers), COVID-19 Clinical Research Studies (9 papers) and Animal Virus Infections Studies (7 papers). Jun Lan collaborates with scholars based in China, United States and South Korea. Jun Lan's co-authors include Xinquan Wang, Linqi Zhang, Shilong Fan, Jinfang Yu, Jiwan Ge, Sisi Shan, Xuanling Shi, Qi Zhang, Qisheng Wang and Huan Zhou and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Jun Lan

32 papers receiving 4.7k citations

Hit Papers

Structure of the SARS-CoV-2 spike receptor-binding domain... 2020 2026 2022 2024 2020 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Lan China 15 3.7k 1.5k 694 483 402 36 4.8k
Jinfang Yu China 10 3.4k 0.9× 1.4k 0.9× 674 1.0× 426 0.9× 346 0.9× 12 4.3k
Jiwan Ge China 8 3.4k 0.9× 1.3k 0.9× 678 1.0× 384 0.8× 362 0.9× 16 4.4k
Sisi Shan China 11 3.4k 0.9× 1.4k 0.9× 679 1.0× 403 0.8× 386 1.0× 15 4.6k
Ashley A. Auerbach United States 6 4.0k 1.1× 1.2k 0.8× 601 0.9× 457 0.9× 303 0.8× 8 4.9k
Chuming Luo China 8 4.1k 1.1× 1.2k 0.8× 587 0.8× 569 1.2× 310 0.8× 21 5.1k
Shuai Xia China 25 3.6k 1.0× 1.2k 0.8× 467 0.7× 451 0.9× 393 1.0× 61 4.6k
Shilong Fan China 18 3.4k 0.9× 2.5k 1.7× 676 1.0× 384 0.8× 373 0.9× 63 5.8k
Olubukola M. Abiona United States 6 4.9k 1.3× 1.5k 1.1× 616 0.9× 533 1.1× 498 1.2× 8 6.0k
Qibin Geng United States 17 4.8k 1.3× 1.3k 0.9× 615 0.9× 747 1.5× 349 0.9× 28 5.9k

Countries citing papers authored by Jun Lan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Lan. A scholar is included among the top collaborators of Jun Lan 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 Lan. Jun Lan 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
1.
Wang, Jian, Hao Huang, Zheng Zhang, et al.. (2026). Multi-organ network of cardiometabolic disease-depression multimorbidity revealed by phenotypic and genetic analyses of MR images. Nature Communications. 17(1). 1333–1333.
3.
Ding, Qiang, et al.. (2024). Structural insights into the Langya virus attachment glycoprotein. Structure. 32(8). 1090–1098.e3. 6 indexed citations
4.
Xu, Lili, Huajie Xu, Huanyi Zhang, et al.. (2024). Indobufen-based dual antiplatelet therapy in patients with multivessel coronary disease undergoing drug-eluting stent implantation insight from the OPTION trial. American Heart Journal. 282. 21–29. 1 indexed citations
5.
Huang, Yujie, Jun Lan, Chao Wu, et al.. (2023). Stability of collagen heterotrimer with same charge pattern and different charged residue identities. Biophysical Journal. 122(13). 2686–2695. 1 indexed citations
6.
Ren, Wenlin, Yu Zhang, Ziyi Wang, et al.. (2023). Evolution of Immune Evasion and Host Range Expansion by the SARS-CoV-2 B.1.1.529 (Omicron) Variant. mBio. 14(2). e0041623–e0041623. 11 indexed citations
7.
Dou, Yang, Ke Xu, Yong‐Qiang Deng, et al.. (2023). Development of neutralizing antibodies against SARS-CoV-2, using a high-throughput single-B-cell cloning method. PubMed. 6(2). 76–86. 2 indexed citations
8.
Ren, Wenlin, Xiaohui Ju, Mingli Gong, et al.. (2022). Characterization of SARS-CoV-2 Variants B.1.617.1 (Kappa), B.1.617.2 (Delta), and B.1.618 by Cell Entry and Immune Evasion. mBio. 13(2). e0009922–e0009922. 23 indexed citations
9.
Lan, Jun, Peng Chen, Weiming Liu, et al.. (2022). Structural insights into the binding of SARS-CoV-2, SARS-CoV, and hCoV-NL63 spike receptor-binding domain to horse ACE2. Structure. 30(10). 1432–1442.e4. 21 indexed citations
10.
Ren, Wenlin, Yunkai Zhu, Jun Lan, et al.. (2021). Susceptibilities of Human ACE2 Genetic Variants in Coronavirus Infection. Journal of Virology. 96(1). 26 indexed citations
11.
Ren, Wenlin, Yunkai Zhu, Yuyan Wang, et al.. (2021). Comparative analysis reveals the species-specific genetic determinants of ACE2 required for SARS-CoV-2 entry. PLoS Pathogens. 17(3). e1009392–e1009392. 24 indexed citations
12.
Ren, Wenlin, Jun Lan, Xiaohui Ju, et al.. (2021). Mutation Y453F in the spike protein of SARS-CoV-2 enhances interaction with the mink ACE2 receptor for host adaption. PLoS Pathogens. 17(11). e1010053–e1010053. 48 indexed citations
13.
Zhang, Shuyuan, Jinfang Yu, Jianwei Zeng, et al.. (2021). Bat and pangolin coronavirus spike glycoprotein structures provide insights into SARS-CoV-2 evolution. Nature Communications. 12(1). 1607–1607. 71 indexed citations
14.
Zheng, Liming, Jie Xu, Jia Wang, et al.. (2021). Reduced graphene oxide membrane as supporting film for high-resolution cryo-EM. Biophysics Reports. 7(3). 227–238. 17 indexed citations
15.
Shan, Sisi, Chee Keng Mok, Shuyuan Zhang, et al.. (2021). A Potent and Protective Human Neutralizing Antibody Against SARS-CoV-2 Variants. Frontiers in Immunology. 12. 766821–766821. 11 indexed citations
16.
Wang, Ruoke, Qi Zhang, Jiwan Ge, et al.. (2021). Analysis of SARS-CoV-2 variant mutations reveals neutralization escape mechanisms and the ability to use ACE2 receptors from additional species. Immunity. 54(7). 1611–1621.e5. 138 indexed citations
17.
Lan, Jun, Jiwan Ge, Jinfang Yu, et al.. (2020). Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor. Nature. 581(7807). 215–220. 4028 indexed citations breakdown →
18.
Zhou, Haixia, Yingzhu Chen, Shuyuan Zhang, et al.. (2019). Structural definition of a neutralization epitope on the N-terminal domain of MERS-CoV spike glycoprotein. Nature Communications. 10(1). 3068–3068. 105 indexed citations
19.
Liu, Fei, Wenjun Xia, Lili Hao, et al.. (2016). Exome sequencing identifies a mutation in TMC1 as a novel cause of autosomal recessive nonsyndromic hearing loss. Journal of Translational Medicine. 14(1). 29–29. 11 indexed citations
20.
Lan, Jun, et al.. (1998). A preliminary study of steroid reproductive hormones in human hair. The Journal of Steroid Biochemistry and Molecular Biology. 67(5-6). 447–450. 66 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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