Jian Jin

682 total citations
45 papers, 555 citations indexed

About

Jian Jin is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Jian Jin has authored 45 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Oncology. Recurrent topics in Jian Jin's work include PI3K/AKT/mTOR signaling in cancer (13 papers), Chronic Lymphocytic Leukemia Research (11 papers) and Biochemical and Molecular Research (8 papers). Jian Jin is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (13 papers), Chronic Lymphocytic Leukemia Research (11 papers) and Biochemical and Molecular Research (8 papers). Jian Jin collaborates with scholars based in China, India and Uganda. Jian Jin's co-authors include Jingyu Zhu, Lei Xu, Yanfei Cai, Kan Li, Huazhong Li, Yuanqing Wu, Yun Chen, Mengyao Tang, Jie Li and Xiaolei Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Bioresource Technology.

In The Last Decade

Jian Jin

42 papers receiving 549 citations

Peers

Jian Jin

ONCOL

CTM

GENET

Marc R. Arnone United States

Joseph E. Myers United States

Matthew Labenski United States

Xavier Billot Canada

Jeremy L. Yap United States

Mingsong Shi China

Paul Shapiro United States

Lance Goulet United States

Guoshun Luo China

Asako Nagata United States

Marc R. Arnone United States

Jian Jin

474 ×1.5

201 ×1.5

ONCOL

122 ×0.9

CTM

113 ×1.0

22 ×0.2

GENET

Citations per year, relative to Jian Jin Jian Jin (= 1×) peers Marc R. Arnone

Countries citing papers authored by Jian Jin

Since Specialization

Citations

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

Fields of papers citing papers by Jian Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Jin

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

All Works

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20 of 20 papers shown

Jin, Jian, et al.. (2025). RSCNN-PseU: random searching-based convolutional neural network model for identifying RNA pseudouridine. Briefings in Bioinformatics. 26(4).

He, Li, et al.. (2025). Dumbbell-shape DNA structure activates cGAS-STING pathway for enhanced checkpoint immunotherapy in colorectal cancer. International Journal of Biological Macromolecules. 331(Pt 1). 148421–148421.

Zhu, Jingyu, Lei Xu, Yanfei Cai, et al.. (2024). Optimization of virtual screening against phosphoinositide 3-kinase delta: Integration of common feature pharmacophore and multicomplex-based molecular docking. Computational Biology and Chemistry. 109. 108011–108011. 7 indexed citations

Cai, Yanfei, et al.. (2024). Identification of novel covalent JAK3 inhibitors through consensus scoring virtual screening: integration of common feature pharmacophore and covalent docking. Molecular Diversity. 29(2). 1353–1373. 2 indexed citations

Zhu, Jingyu, Jingyu Sun, Lei Xu, et al.. (2023). Machine Learning‐Enabled Virtual Screening with Multiple Protein Structures toward the Discovery of Novel JAK3 Inhibitors: Integration of Molecular Docking, Pharmacophore, and Naïve Bayesian Classification. Advanced Theory and Simulations. 6(7). 5 indexed citations

Xu, Lei, et al.. (2022). Developing a Naïve Bayesian Classification Model with PI3Kγ structural features for virtual screening against PI3Kγ: Combining molecular docking and pharmacophore based on multiple PI3Kγ conformations. European Journal of Medicinal Chemistry. 244. 114824–114824. 20 indexed citations

Liang, Junjie, Yanfei Cai, Yun Chen, et al.. (2022). Investigation into the anti-airway inflammatory role of the PI3Kγ inhibitor JN-PK1: An in vitro and in vivo study. International Immunopharmacology. 111. 109102–109102. 9 indexed citations

Huang, Haomin, Zhiyong Wang, Xuesai Zhang, et al.. (2021). Appearance and Formation Analysis of Multimers in High Concentration Antibodies. Chromatographia. 84(5). 403–412. 2 indexed citations

Zhu, Jingyu, Lei Jia, Lei Xu, et al.. (2021). A multi-conformational virtual screening approach based on machine learning targeting PI3Kγ. Molecular Diversity. 25(3). 1271–1282. 14 indexed citations

10.

Zhu, Jingyu, Kan Li, Lei Xu, et al.. (2021). Discovery of novel selective PI3Kγ inhibitors through combining machine learning-based virtual screening with multiple protein structures and bio-evaluation. Journal of Advanced Research. 36. 1–13. 31 indexed citations

11.

Jin, Jian, et al.. (2020). Synthesis and Bioactivity of N-(4-Chlorophenyl)-4-Methoxy-3-(Methylamino) Benzamide as a Potential Anti-HBV Agent. SHILAP Revista de lepidopterología. 1 indexed citations

12.

Jin, Jian, et al.. (2020). Reduction of charge variants by CHO cell culture process optimization. Cytotechnology. 72(2). 259–269. 21 indexed citations

13.

Zhu, Jingyu, et al.. (2020). Theoretical Exploring Selective-Binding Mechanisms of JAK3 by 3D-QSAR, Molecular Dynamics Simulation and Free Energy Calculation. Frontiers in Molecular Biosciences. 7. 83–83. 14 indexed citations

14.

Hao, Chao, Jian Jin, Yanqin Ma, et al.. (2020). Polymorphs of DP-VPA Solid Solutions and Their Physicochemical Properties. Journal of Pharmaceutical Sciences. 109(7). 2156–2165. 5 indexed citations

15.

Zhu, Jingyu, Yuanqing Wu, Man Wang, et al.. (2020). Integrating Machine Learning-Based Virtual Screening With Multiple Protein Structures and Bio-Assay Evaluation for Discovery of Novel GSK3β Inhibitors. Frontiers in Pharmacology. 11. 566058–566058. 32 indexed citations

16.

Y, Li, Li C, Li D, et al.. (2019). lncRNA KCNQ1OT1 enhances the chemoresistance of oxaliplatin in colon cancer by targeting the miR-34a/ATG4B pathway. SHILAP Revista de lepidopterología. 6 indexed citations

17.

Zhu, Jingyu, et al.. (2019). Theoretical studies on the selectivity mechanisms of PI3Kδ inhibition with marketed idelalisib and its derivatives by 3D-QSAR, molecular docking, and molecular dynamics simulation. Journal of Molecular Modeling. 25(8). 242–242. 25 indexed citations

18.

Zhang, Pengfei, Zhen Chen, Kuan Ning, Jian Jin, & Xiaofeng Han. (2017). Inhibition of B7-H3 reverses oxaliplatin resistance in human colorectal cancer cells. Biochemical and Biophysical Research Communications. 490(3). 1132–1138. 36 indexed citations

19.

Yang, Xueli, et al.. (2014). JF-305, a pancreatic cancer cell line is highly sensitive to the PARP inhibitor olaparib. Oncology Letters. 9(2). 757–761. 13 indexed citations

20.

Chen, Baoying, Jian‐Kang Chen, Miaozhang Zhu, et al.. (2011). AC-NP: A Novel Chimeric Peptide with Natriuretic and Vasorelaxing Actions. PLoS ONE. 6(5). e20477–e20477. 9 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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