Xiao‐Ming Yin

8.2k total citations · 5 hit papers
122 papers, 6.3k citations indexed

About

Xiao‐Ming Yin is a scholar working on Molecular Biology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Xiao‐Ming Yin has authored 122 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 44 papers in Epidemiology and 14 papers in Pathology and Forensic Medicine. Recurrent topics in Xiao‐Ming Yin's work include Autophagy in Disease and Therapy (28 papers), Cell death mechanisms and regulation (22 papers) and Alcohol Consumption and Health Effects (12 papers). Xiao‐Ming Yin is often cited by papers focused on Autophagy in Disease and Therapy (28 papers), Cell death mechanisms and regulation (22 papers) and Alcohol Consumption and Health Effects (12 papers). Xiao‐Ming Yin collaborates with scholars based in United States, China and Japan. Xiao‐Ming Yin's co-authors include Wen‐Xing Ding, Yongge Zhao, Deborah V. Novack, S J Korsmeyer, Zoltán N. Oltvai, G P Linette, Jun Chen, Stanley J. Korsmeyer, Kun Wang and Sandra S. Zinkel and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Xiao‐Ming Yin

113 papers receiving 6.2k citations

Hit Papers

Bid-deficient mice are resistant to Fas-induced hepatocel... 1994 2026 2004 2015 1999 1994 2010 2021 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao‐Ming Yin United States 38 3.7k 1.6k 695 695 646 122 6.3k
Qiang Xia China 44 3.5k 0.9× 1.1k 0.7× 456 0.7× 734 1.1× 1.6k 2.4× 264 6.4k
Dexi Chen China 39 3.0k 0.8× 939 0.6× 307 0.4× 649 0.9× 1.0k 1.6× 193 5.7k
Xianzhong Xiao China 45 4.0k 1.1× 972 0.6× 537 0.8× 1.2k 1.7× 700 1.1× 170 6.8k
Shailendra Giri United States 45 3.5k 0.9× 820 0.5× 485 0.7× 1.0k 1.5× 1.0k 1.6× 137 6.8k
Thorsten Berger Canada 32 2.6k 0.7× 763 0.5× 295 0.4× 1.2k 1.7× 453 0.7× 48 6.0k
Marjan Guček United States 45 4.5k 1.2× 1.1k 0.7× 398 0.6× 577 0.8× 961 1.5× 117 6.8k
Nathan Brady Germany 32 3.1k 0.8× 3.0k 1.9× 451 0.6× 460 0.7× 617 1.0× 45 5.9k
Martha Campbell‐Thompson United States 50 2.7k 0.7× 653 0.4× 315 0.5× 947 1.4× 477 0.7× 161 8.0k
Yutaka Kohgo Japan 44 2.9k 0.8× 1.5k 0.9× 537 0.8× 575 0.8× 1.0k 1.6× 243 7.4k
Heng Lin Taiwan 43 2.9k 0.8× 1.1k 0.7× 251 0.4× 1.2k 1.7× 920 1.4× 135 5.4k

Countries citing papers authored by Xiao‐Ming Yin

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Ming Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Ming Yin. 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 Xiao‐Ming Yin. The network helps show where Xiao‐Ming Yin may publish in the future.

Co-authorship network of co-authors of Xiao‐Ming Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Ming Yin. A scholar is included among the top collaborators of Xiao‐Ming Yin 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 Xiao‐Ming Yin. Xiao‐Ming Yin 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.
Chen, Yu‐Ming, Meng Peng, Xiao‐Ming Yin, et al.. (2025). Clinical application of boron neutron capture therapy for cancer treatment: A systematic review. PubMed. 9(4). 304–313.
2.
He, Yonghan, Chunbao Sun, Peiyi Zhang, et al.. (2025). A BCL-xL/BCL-2 PROTAC effectively clears senescent cells in the liver and reduces MASH-driven hepatocellular carcinoma in mice. Nature Aging. 5(3). 386–400. 10 indexed citations
3.
Yan, Shengmin, et al.. (2024). Cholestatic insult triggers alcohol-associated hepatitis in mice. Hepatology Communications. 8(11). 3 indexed citations
4.
Chen, Zheng, Guixiang Dai, Di Tian, et al.. (2023). COVID-19 and influenza infections mediate distinct pulmonary cellular and transcriptomic changes. Communications Biology. 6(1). 1265–1265. 9 indexed citations
5.
Ye, Tian-Tian, Jiang-Hui Ding, Xiao‐Ming Yin, et al.. (2021). Chemical Tagging Assisted Mass Spectrometry Analysis Enables Sensitive Determination of Phosphorylated Compounds in a Single Cell. Analytical Chemistry. 93(17). 6848–6856. 30 indexed citations
6.
Ning, Bo, Tao Yu, Shengwei Zhang, et al.. (2021). A smartphone-read ultrasensitive and quantitative saliva test for COVID-19. Science Advances. 7(2). 196 indexed citations breakdown →
7.
Wang, Ying, Jiefu Zhu, Zhiwen Liu, et al.. (2020). The PINK1/PARK2/optineurin pathway of mitophagy is activated for protection in septic acute kidney injury. Redox Biology. 38. 101767–101767. 131 indexed citations
8.
Khambu, Bilon, Honghai Hong, Sheng Liu, et al.. (2020). The HMGB1-RAGE axis modulates the growth of autophagy-deficient hepatic tumors. PMC. 1 indexed citations
9.
Fu, Yuanyuan, Zhiying Huang, Liang Hong, et al.. (2019). Targeting ATG4 in Cancer Therapy. Cancers. 11(5). 649–649. 32 indexed citations
10.
Liu, Yajun, Xia Luo, Yuanyuan Fu, et al.. (2019). Niclosamide Triggers Non-Canonical LC3 Lipidation. PMC. 1 indexed citations
11.
Khambu, Bilon, Shengmin Yan, Nazmul Huda, & Xiao‐Ming Yin. (2019). Role of High-Mobility Group Box-1 in Liver Pathogenesis. PMC.
12.
Xiao, Xiao, Shixuan Wang, Hua Gao, et al.. (2019). Bif-1 Interacts with Prohibitin-2 to Regulate Mitochondrial Inner Membrane during Cell Stress and Apoptosis. PMC. 1 indexed citations
13.
Wang, Lin, et al.. (2017). Ethanol-triggered Lipophagy Requires SQSTM1 in AML12 Hepatic Cells. PMC. 3 indexed citations
14.
Kwon, Jason J., Jeffrey A. Willy, Ronald C. Wek, et al.. (2016). Novel role of miR-29a in pancreatic cancer autophagy and its therapeutic potential. PMC. 1 indexed citations
15.
Wang, Lin, Bilon Khambu, Hao Zhang, & Xiao‐Ming Yin. (2015). Autophagy in Alcoholic Liver Disease, Self-eating Triggered by Drinking. PMC. 1 indexed citations
16.
Ding, Wen‐Xing, Min Li, Xiaoyun Chen, et al.. (2010). Autophagy Reduces Acute Ethanol-Induced Hepatotoxicity and Steatosis in Mice. Gastroenterology. 139(5). 1740–1752. 423 indexed citations breakdown →
17.
Luo, Wei, Jing Li, David Zhang, et al.. (2010). Bid Mediates Anti-Apoptotic COX-2 Induction Through the IKKβ/NFκB Pathway Due to 5-MCDE Exposure. Current Cancer Drug Targets. 10(1). 96–106. 11 indexed citations
18.
Ding, Wen‐Xing, Hong‐Min Ni, Wentao Gao, et al.. (2009). Oncogenic transformation confers a selective susceptibility to the combined suppression of the proteasome and autophagy. Molecular Cancer Therapeutics. 8(7). 2036–2045. 87 indexed citations
19.
Ding, Wen‐Xing & Xiao‐Ming Yin. (2004). Dissection of the multiple mechanisms of TNF‐α‐induced apoptosis in liver injury. Journal of Cellular and Molecular Medicine. 8(4). 445–454. 240 indexed citations
20.
Clancy, Robert M., Chelsea B. Backer, Xiao‐Ming Yin, et al.. (2003). Cytokine Polymorphisms and Histologic Expression in Autopsy Studies: Contribution of TNF-α and TGF-β1 to the Pathogenesis of Autoimmune-Associated Congenital Heart Block. The Journal of Immunology. 171(6). 3253–3261. 77 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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