Yan Jin

5.3k total citations · 2 hit papers
82 papers, 4.1k citations indexed

About

Yan Jin is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yan Jin has authored 82 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 15 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yan Jin's work include Fibroblast Growth Factor Research (9 papers), Cancer, Hypoxia, and Metabolism (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Yan Jin is often cited by papers focused on Fibroblast Growth Factor Research (9 papers), Cancer, Hypoxia, and Metabolism (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Yan Jin collaborates with scholars based in China, Canada and United States. Yan Jin's co-authors include Eric Gouaux, Satinder K. Singh, Toshimitsu Kawate, Atsuko Yamashita, Olga Boudker, Dinesh Yernool, Yuxin Yin, Michael A. McNutt, Peter A. Cattini and Xuyang Zhao and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yan Jin

81 papers receiving 4.0k citations

Hit Papers

Crystal structure of a bacterial homologue of Na+/Cl--dep... 2004 2026 2011 2018 2005 2004 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
Yan Jin China 27 2.8k 1.0k 543 464 396 82 4.1k
Matthias Eckhardt Germany 41 3.5k 1.2× 901 0.9× 489 0.9× 228 0.5× 150 0.4× 103 6.0k
Leonard M. Hjelmeland United States 36 3.4k 1.2× 553 0.5× 313 0.6× 191 0.4× 337 0.9× 97 5.5k
Jin‐Peng Sun China 38 2.9k 1.0× 814 0.8× 329 0.6× 85 0.2× 230 0.6× 153 4.3k
Sandra E. Wiley United States 28 2.9k 1.0× 225 0.2× 372 0.7× 263 0.6× 296 0.7× 47 4.3k
Larry Fliegel Canada 47 4.8k 1.7× 573 0.6× 326 0.6× 130 0.3× 352 0.9× 176 6.3k
Haining Zhu United States 44 3.4k 1.2× 401 0.4× 297 0.5× 137 0.3× 332 0.8× 128 5.7k
Kiichiro Nakajima Japan 32 2.4k 0.9× 880 0.9× 366 0.7× 159 0.3× 398 1.0× 92 4.3k
Camilo Rojas United States 37 1.9k 0.7× 636 0.6× 577 1.1× 512 1.1× 910 2.3× 108 4.6k
Donald S. Backos United States 30 2.3k 0.8× 794 0.8× 603 1.1× 204 0.4× 316 0.8× 68 4.2k
Leo Nijtmans Netherlands 57 7.4k 2.6× 405 0.4× 167 0.3× 289 0.6× 424 1.1× 108 8.5k

Countries citing papers authored by Yan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Jin. A scholar is included among the top collaborators of Yan Jin 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 Yan Jin. Yan Jin 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.
Yang, Chunyuan, Yan Jin, & Yuxin Yin. (2024). Integration of single-cell transcriptome and chromatin accessibility and its application on tumor investigation. PubMed. 3(2). lnae015–lnae015. 1 indexed citations
2.
Liang, Ling, Peng Zuo, Shang Yu, et al.. (2024). A conserved N-terminal motif of CUL3 contributes to assembly and E3 ligase activity of CRL3KLHL22. Nature Communications. 15(1). 3789–3789. 8 indexed citations
3.
Song, Jia, Yang Liu, Yue Yin, et al.. (2023). PTIR1 acts as an isoform of DDX58 and promotes tumor immune resistance through activation of UCHL5. Cell Reports. 42(11). 113388–113388. 10 indexed citations
4.
5.
Sun, Yizhe, Dan Lü, Yue Yin, et al.. (2021). PTENα functions as an immune suppressor and promotes immune resistance in PTEN-mutant cancer. Nature Communications. 12(1). 5147–5147. 30 indexed citations
6.
Lv, Fangfang, Yan Jin, Xiaochen Feng, et al.. (2021). Traceable metallic antigen release for enhanced cancer immunotherapy. Journal of Nanoparticle Research. 23(6). 130–130. 4 indexed citations
7.
Lü, Dan, Yizhe Sun, Jia Song, et al.. (2020). The phosphatase PAC1 acts as a T cell suppressor and attenuates host antitumor immunity. Nature Immunology. 21(3). 287–297. 79 indexed citations
8.
Sun, Haiming, Ran Wang, Su‐Ting T. Li, et al.. (2019). The combination of whole‐exome sequencing and copy number variation sequencing enables the diagnosis of rare neurological disorders. Clinical Genetics. 96(2). 140–150. 30 indexed citations
9.
Li, Xiang, Yan Jin, & Yuxin Yin. (2019). Allele frequency of pathogenic variants related to adult‐onset Mendelian diseases. Clinical Genetics. 96(3). 226–235. 1 indexed citations
10.
Qi, Hailong, Xianling Ning, Xin Ji, et al.. (2019). Succinylation-dependent mitochondrial translocation of PKM2 promotes cell survival in response to nutritional stress. Cell Death and Disease. 10(3). 170–170. 77 indexed citations
11.
Wang, Jie, Yan Jin, & Peter A. Cattini. (2016). Expression of the Cardiac Maintenance and Survival Factor FGF-16 Gene Is Regulated by Csx/Nkx2.5 and Is an Early Target of Doxorubicin Cardiotoxicity. DNA and Cell Biology. 36(2). 117–126. 8 indexed citations
12.
Sun, Ping-Li, Yan Jin, Soo Young Park, et al.. (2015). Expression of Na+–K+-2Clcotransporter isoform 1 (NKCC1) predicts poor prognosis in lung adenocarcinoma andEGFR-mutated adenocarcinoma patients. QJM. 109(4). 237–244. 17 indexed citations
13.
Yoo, Seol Bong, Hyojin Kim, Yan Jin, et al.. (2014). Cytoplasmic YAP Expression is Associated with Prolonged Survival in Patients with Lung Adenocarcinomas and Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitor Treatment. Annals of Surgical Oncology. 21(S4). 610–618. 12 indexed citations
14.
Sun, Ping-Li, Yan Jin, Hyojin Kim, et al.. (2013). Survivin expression is an independent poor prognostic marker in lung adenocarcinoma but not in squamous cell carcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 463(3). 427–436. 21 indexed citations
15.
Jin, Yan, et al.. (2011). Enhancer-Blocking Activity Is Associated with Hypersensitive Site V Sequences in the Human Growth Hormone Locus Control Region. DNA and Cell Biology. 30(12). 995–1005. 8 indexed citations
16.
Min, K. Christopher, Yan Jin, & Wayne A. Hendrickson. (2010). Large-scale production of a disulfide-stabilized constitutively active mutant opsin. Protein Expression and Purification. 75(2). 236–241. 1 indexed citations
18.
Li, Ping, Zongwen Wang, Yan Jin, et al.. (2006). Neuro-protective effects of CNTF on hippocampal neurons via an unknown signal transduction pathway. Chinese Science Bulletin. 51(1). 48–53. 3 indexed citations
19.
Xuan, Dongying, Xin Li, Zhihong Deng, et al.. (2006). Identification and Characterization of a Novel Gene, Mcpr1, and Its Possible Function in the Proliferation of Embryonic Palatal Mesenchymal Cells. Journal of Biological Chemistry. 281(45). 33997–34008. 2 indexed citations
20.
Chen, Fa‐Ming, Hai‐Hua Sun, Tao Jin, et al.. (2006). Novel glycidyl methacrylated dextran (Dex-GMA)/gelatin hydrogel scaffolds containing microspheres loaded with bone morphogenetic proteins: Formulation and characteristics. Journal of Controlled Release. 118(1). 65–77. 94 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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