Jun Shen

9.3k total citations · 3 hit papers
176 papers, 6.8k citations indexed

About

Jun Shen is a scholar working on Genetics, Epidemiology and Surgery. According to data from OpenAlex, Jun Shen has authored 176 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Genetics, 42 papers in Epidemiology and 36 papers in Surgery. Recurrent topics in Jun Shen's work include Inflammatory Bowel Disease (59 papers), Microscopic Colitis (25 papers) and earthquake and tectonic studies (16 papers). Jun Shen is often cited by papers focused on Inflammatory Bowel Disease (59 papers), Microscopic Colitis (25 papers) and earthquake and tectonic studies (16 papers). Jun Shen collaborates with scholars based in China, United States and Russia. Jun Shen's co-authors include Zhi Hua Ran, Zhihua Ran, Zhenjun Zhao, Ye Xu, Zhixiang Zuo, Aiping Mao, Jie Liang, Ren Mao, Subrata Ghosh and Minhu Chen and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Jun Shen

171 papers receiving 6.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Characteristics of pediatric SARS-CoV-2 infection and potential evidence for persistent fecal viral shedding

2020 1.0k citations Jun Shen et al. profile →
Manifestations and prognosis of gastrointestinal and liver involvement in patients with COVID-19: a systematic review and meta-analysis

2020 681 citations Jie Liang, Jun Shen et al. profile →
Emerging views of mitophagy in immunity and autoimmune diseases

2019 381 citations Jun Shen et al. profile →

Peers

Jun Shen

ID

MB

SURGE

EPIDE

GENET

Tze Kin Lau Hong Kong

William B. Grant United States

Sang Hoon Lee South Korea

Wen‐Jone Chen Taiwan

Sang‐Min Lee South Korea

Jianmin Liu China

Rajeev Kumar India

Yuqing Li China

Vincent Lee Australia

Xiaoyan Wang China

Tze Kin Lau Hong Kong

Jun Shen

3.4k ×1.8

ID

4.3k ×2.4

MB

2.0k ×1.9

SURGE

1.2k ×1.2

EPIDE

2.4k ×2.7

GENET

Citations per year, relative to Jun Shen Jun Shen (= 1×) peers Tze Kin Lau

Countries citing papers authored by Jun Shen

Since Specialization

Citations

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

Fields of papers citing papers by Jun Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wan, T.S.K., et al.. (2025). Genome-wide CRISPR Screening Identifies NFκB and c-MET as Druggable Targets to Sensitize Lenvatinib Treatment in Hepatocellular Carcinoma. Cellular and Molecular Gastroenterology and Hepatology. 19(7). 101502–101502.

2.

Cao, Dongxing, Nailin Yang, Gang Xu, et al.. (2023). Thymopentin ameliorates experimental colitis via inhibiting neutrophil extracellular traps. International Immunopharmacology. 124(Pt A). 110898–110898. 2 indexed citations

3.

Liu, Zhirong, et al.. (2023). Late-Middle Pleistocene Sedimentary Environment and Climate Variation in North Hebei Plain, China: Evidence from the SHBZK-1 Core. Atmosphere. 14(3). 575–575. 1 indexed citations

4.

Shen, Jun, et al.. (2023). Potential roles of enteric glial cells in Crohn's disease: A critical review. Cell Proliferation. 57(1). e13536–e13536. 4 indexed citations

5.

Wu, Li, Jun Shen, Yuhan Jiang, et al.. (2023). Clinical characteristics and outcome of COVID-19 patients with Parkinson’s disease: a hospital-based case–control study in Shanghai, China. Frontiers in Aging Neuroscience. 15. 1138418–1138418. 2 indexed citations

6.

Chen, Bin, Yanlin Li, Mengxue Yuan, et al.. (2021). Study of the Co-pyrolysis characteristics of oil shale with wheat straw based on the hierarchical collection. Energy. 239. 122144–122144. 15 indexed citations

7.

Chen, Bin, Mengxue Yuan, Sha Wang, et al.. (2021). Simulation analysis of Co-Pyrolysis of oil shale and wheat straw based on the combination of chain reaction kinetics and improved CPD models. Energy Conversion and Management. 243. 114405–114405. 21 indexed citations

8.

Shen, Jun, et al.. (2021). How PARO can help older people in elderly care facilities: A systematic review of RCT. International Journal of Nursing Knowledge. 33(1). 29–39. 46 indexed citations

9.

Fang, Leilei, Han Gao, Xiang Gao, et al.. (2021). Risks of Cardiovascular Events in Patients With Inflammatory Bowel Disease in China: A Retrospective Multicenter Cohort Study. Inflammatory Bowel Diseases. 28(Supplement_2). S52–S58. 11 indexed citations

10.

Li, Hanyang, et al.. (2020). Development of a susceptibility gene based novel predictive model for the diagnosis of ulcerative colitis using random forest and artificial neural network. Aging. 12(20). 20471–20482. 31 indexed citations

11.

Qian, Xiaoxian, et al.. (2018). Low dose of azathioprine is effective to induce and maintain remission in active Crohn disease. Medicine. 97(34). e11814–e11814. 12 indexed citations

12.

Shen, Jun. (2013). Correlation between self-efficacy and caring ability of family caregivers of the elderly disabled. Chongqing Yike Daxue xuebao. 1 indexed citations

13.

Liu, Baojun, et al.. (2011). Evolution of the Oligocene-Miocene shelf slope-break zone in the Baiyun deep-water area of the Pearl River Mouth Basin and its significance in oil-gas exploration. Acta Petrologica Sinica. 32(2). 234–242. 38 indexed citations

14.

Wang, Jiandong, Xuefeng Wang, Yong Yang, et al.. (2010). Value of different staging systems for gallbladder cancer. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 9(2). 133–135. 1 indexed citations

15.

Shen, Jun. (2008). CHARACTERISTICS OF STRONG EARTHQUAKE ACTIVITY IN TIENSHAN SEISMIC BELT. 3 indexed citations

16.

Shen, Jun. (2006). THE BASIC FEATURES OF THE ACTIVE TECTONICS IN THE KUQA DEPRESSION OF THE SOUTHERN TIANSHAN. Seismology and Geology. 2 indexed citations

17.

Liu, Baojun, et al.. (2006). Northern Continental Slope Palaeogeomorphology and Deep-water Fan System Response of Pearl River Since 13.8Ma,South China Sea. Chenji xuebao. 4 indexed citations

18.

Shen, Jun. (2003). LATE QUATERNARY RIGHT-LATERAL STRIKE-SLIP FAULTING ALONG THE BOLOKENU-AQIKEKUDUKE FAULT IN CHINESE TIAN SHAN. Seismology and Geology. 10 indexed citations

19.

Shen, Jun. (2003). THE ACTIVE FAULTS IN ALTAI MOUNTAINS. Dixue qianyuan. 7 indexed citations

20.

Li, Jun, et al.. (2000). The preliminary study on active faults and paleo-earthquakes in the north fringe of Kashi depression. Acta Seismologica Sinica. 13(3). 351–355. 5 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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