Jun Yin

3.8k total citations
79 papers, 2.0k citations indexed

About

Jun Yin is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Jun Yin has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 21 papers in Cancer Research and 13 papers in Genetics. Recurrent topics in Jun Yin's work include RNA modifications and cancer (15 papers), MicroRNA in disease regulation (14 papers) and Cancer-related molecular mechanisms research (11 papers). Jun Yin is often cited by papers focused on RNA modifications and cancer (15 papers), MicroRNA in disease regulation (14 papers) and Cancer-related molecular mechanisms research (11 papers). Jun Yin collaborates with scholars based in China, United States and Ireland. Jun Yin's co-authors include James P. Noonan, Steven K. Reilly, Justin Cotney, Deena Emera, Jing Leng, Pasko Rakić, Wenfan Fu, Jian Zhao, Albert E. Ayoub and Lu Dai and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jun Yin

73 papers receiving 2.0k 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 Yin China 23 1.3k 418 412 248 188 79 2.0k
Loan Nguyen United States 26 1.2k 0.9× 289 0.7× 543 1.3× 177 0.7× 248 1.3× 79 2.1k
Alka Saxena United Kingdom 23 1.4k 1.1× 366 0.9× 302 0.7× 166 0.7× 356 1.9× 45 2.3k
Qi Ma China 24 2.3k 1.8× 614 1.5× 408 1.0× 287 1.2× 276 1.5× 54 3.0k
Yavuz Ariyürek Netherlands 25 1.8k 1.4× 346 0.8× 530 1.3× 380 1.5× 122 0.6× 40 2.5k
Tristan Kooistra United States 9 2.7k 2.1× 380 0.9× 474 1.2× 231 0.9× 124 0.7× 16 3.6k
Puping Liang China 19 2.0k 1.6× 397 0.9× 428 1.0× 90 0.4× 239 1.3× 38 2.5k
Izuho Hatada Japan 32 2.9k 2.3× 608 1.5× 879 2.1× 148 0.6× 207 1.1× 88 3.5k
Yvonne J. K. Edwards United States 26 1.7k 1.3× 206 0.5× 566 1.4× 288 1.2× 128 0.7× 67 2.5k
James D. Eudy United States 24 1.2k 0.9× 223 0.5× 302 0.7× 78 0.3× 132 0.7× 46 2.1k
M. Inmaculada Barrasa United States 27 2.5k 1.9× 379 0.9× 381 0.9× 204 0.8× 461 2.5× 45 3.7k

Countries citing papers authored by Jun Yin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yin. A scholar is included among the top collaborators of Jun 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 Jun Yin. Jun 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.
Yin, Jun, Xiaotong Lu, Dan Jiang, et al.. (2025). Influence of experimental variables on spheroid attributes. Scientific Reports. 15(1). 9751–9751. 7 indexed citations
3.
Zhao, Xinyi, Jun Yin, T.‐M. Lu, et al.. (2025). ALOX15 and ALOX15B regulate autophagy to promote pulmonary arterial hypertension via the PI3K/AKT/mTOR pathway. European Journal of Pharmacology. 1008. 178338–178338.
4.
Chen, Ting, Yuanfang Zhao, Song Huang, et al.. (2025). Influence of papermaking biomass co-firing on operation energy efficiency and gas emission stability of a coal-fired thermal power plant: A case study. Energy. 327. 136484–136484. 5 indexed citations
5.
Liu, Chunmei, et al.. (2023). Tumor-Promoting Effects of microRNA-421/4-aminobutyrate Aminotransferase Axis in Hepatocellular Carcinoma. Revista de investigaci�n Cl�nica. 75(5). 233–248.
6.
Yin, Jun, et al.. (2023). Detection of occult neoplasia in a patient with dermatomyositis using [18F]AlF-NOTA-FAPI-04 and 18F-FDG PET/CT imaging. Revista Española de Medicina Nuclear e Imagen Molecular (English Edition). 43(2). 119–120. 1 indexed citations
7.
Liu, Chunmei, et al.. (2021). Identifying 13 Hub Genes Associated with Progression and Prognosis of Hepatocellular Carcinoma with Weighted Gene Co-Expression Network Analysis. Critical Reviews in Eukaryotic Gene Expression. 31(4). 59–69. 1 indexed citations
9.
Yin, Jun, Weimin Hu, Wenfan Fu, et al.. (2019). <p>HGF/MET Regulated Epithelial-Mesenchymal Transitions And Metastasis By FOSL2 In Non-Small Cell Lung Cancer</p>. OncoTargets and Therapy. Volume 12. 9227–9237. 20 indexed citations
10.
Gao, Guangqi, Meng Xu, Chunling Bai, et al.. (2018). Comparative genomics and transcriptomics of Chrysolophus provide insights into the evolution of complex plumage coloration. GigaScience. 7(10). 22 indexed citations
11.
Yin, Jun, et al.. (2018). Chemopreventive mechanisms of galangin against hepatocellular carcinoma: A review. Biomedicine & Pharmacotherapy. 109. 2054–2061. 75 indexed citations
12.
Dong, Zhimin, Chaoyang Tong, Chenling Yao, et al.. (2017). The dynamic changes of cytokine profiles and immune status-associated classification in sepsis patients. Zhonghua jizhen yixue zazhi. 26(2). 149–154. 1 indexed citations
13.
Pham, Thang, Jun Yin, John Eid, et al.. (2016). Single-locus enrichment without amplification for sequencing and direct detection of epigenetic modifications. Molecular Genetics and Genomics. 291(3). 1491–1504. 16 indexed citations
14.
Glaviano, Antonino, Andrew J. H. Smith, Alfonso Blanco, et al.. (2016). A method for isolation of cone photoreceptors from adult zebrafish retinae. BMC Neuroscience. 17(1). 71–71. 6 indexed citations
15.
Reilly, Steven K., Jun Yin, Albert E. Ayoub, et al.. (2015). Evolutionary changes in promoter and enhancer activity during human corticogenesis. Science. 347(6226). 1155–1159. 183 indexed citations
16.
Grandi, Fiorella C., James M. Rosser, Simon J. Newkirk, et al.. (2015). Retrotransposition creates sloping shores: a graded influence of hypomethylated CpG islands on flanking CpG sites. Genome Research. 25(8). 1135–1146. 34 indexed citations
17.
Cotney, Justin, Rebecca Muhle, Stephan Sanders, et al.. (2015). The autism-associated chromatin modifier CHD8 regulates other autism risk genes during human neurodevelopment. Nature Communications. 6(1). 6404–6404. 212 indexed citations
18.
Atkins, Katelyn M., Laura L. Thomas, Jonathan Barroso-González, et al.. (2014). The Multifunctional Sorting Protein PACS-2 Regulates SIRT1-Mediated Deacetylation of p53 to Modulate p21-Dependent Cell-Cycle Arrest. Cell Reports. 8(5). 1545–1557. 59 indexed citations
19.
Xu, Jun, et al.. (2013). Calcitonin receptor gene polymorphism in Chinese Xinjiang Han and Uygur women with primary osteoporosis. The journal of nutrition health & aging. 18(2). 204–208. 1 indexed citations
20.
Loomis, Erick, John Eid, Paul Peluso, et al.. (2012). Sequencing the unsequenceable: Expanded CGG-repeat alleles of the fragile X gene. Genome Research. 23(1). 121–128. 148 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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