Gang Yan

900 total citations
36 papers, 566 citations indexed

About

Gang Yan is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Gang Yan has authored 36 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 11 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Gang Yan's work include Immune Cell Function and Interaction (8 papers), Diabetes and associated disorders (5 papers) and Computational Drug Discovery Methods (5 papers). Gang Yan is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Diabetes and associated disorders (5 papers) and Computational Drug Discovery Methods (5 papers). Gang Yan collaborates with scholars based in United States, China and Canada. Gang Yan's co-authors include Denise L. Faustman, Lijia Shi, Denise L. Faustman, Jean‐Jacques Lebrun, Meiou Dai, Suhad Ali, Yang Fu, Cathy Lester, Sergio A. Burgos and Ni Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Gang Yan

34 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Yan United States 16 233 132 110 97 69 36 566
Raghida Abou Merhi Lebanon 13 395 1.7× 65 0.5× 100 0.9× 148 1.5× 42 0.6× 28 729
Piya Lahiry Canada 10 378 1.6× 32 0.2× 77 0.7× 122 1.3× 28 0.4× 16 642
Chunfang Hu China 14 421 1.8× 91 0.7× 225 2.0× 35 0.4× 82 1.2× 36 752
Run‐Lei Du China 19 643 2.8× 124 0.9× 121 1.1× 40 0.4× 133 1.9× 33 855
Betsy N. Perry United States 8 199 0.9× 129 1.0× 94 0.9× 25 0.3× 47 0.7× 8 450
Yutaka Hoshino Japan 14 275 1.2× 73 0.6× 101 0.9× 58 0.6× 103 1.5× 58 657
Yuki Ishii Japan 17 524 2.2× 67 0.5× 139 1.3× 51 0.5× 29 0.4× 29 703
Kenichi Iwai Japan 12 217 0.9× 53 0.4× 71 0.6× 70 0.7× 51 0.7× 29 446
Pankaj Sharma United States 13 271 1.2× 28 0.2× 66 0.6× 64 0.7× 42 0.6× 39 515
Anas Saadeddin Spain 13 379 1.6× 35 0.3× 173 1.6× 46 0.5× 25 0.4× 19 653

Countries citing papers authored by Gang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Gang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Yan. A scholar is included among the top collaborators of Gang Yan 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 Gang Yan. Gang Yan 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.
2.
El‐Awady, Raafat, Maha Saber-Ayad, Ni Wang, et al.. (2024). Targeting the DYRK1A kinase prevents cancer progression and metastasis and promotes cancer cells response to G1/S targeting chemotherapy drugs. npj Precision Oncology. 8(1). 128–128. 2 indexed citations
3.
Dai, Meiou, Ni Wang, Gang Yan, et al.. (2024). Genome-wide in vivo CRISPR screen identifies TGFβ3 as actionable biomarker of palbociclib resistance in triple negative breast cancer. Molecular Cancer. 23(1). 118–118. 11 indexed citations
4.
Lester, Cathy, et al.. (2023). Quantifying Analogue Suitability for SAR-Based Read-Across Toxicological Assessment. Chemical Research in Toxicology. 36(2). 230–242. 15 indexed citations
5.
6.
Wlodarchak, Nathan, et al.. (2021). Engineering Selectivity for Reduced Toxicity of Bacterial Kinase Inhibitors Using Structure-Guided Medicinal Chemistry. ACS Medicinal Chemistry Letters. 12(2). 228–235. 5 indexed citations
7.
Lester, Cathy & Gang Yan. (2021). A matched molecular pair (MMP) approach for selecting analogs suitable for structure activity relationship (SAR)-based read across. Regulatory Toxicology and Pharmacology. 124. 104966–104966. 20 indexed citations
8.
Dai, Meiou, Gang Yan, Ni Wang, et al.. (2021). In vivo genome-wide CRISPR screen reveals breast cancer vulnerabilities and synergistic mTOR/Hippo targeted combination therapy. Nature Communications. 12(1). 3055–3055. 81 indexed citations
9.
Yan, Gang, Meiou Dai, Chenjing Zhang, et al.. (2021). TGFβ/cyclin D1/Smad-mediated inhibition of BMP4 promotes breast cancer stem cell self-renewal activity. Oncogenesis. 10(3). 21–21. 18 indexed citations
10.
Dai, Meiou, Ni Wang, Gang Yan, et al.. (2020). Differential Regulation of Cancer Progression by CDK4/6 Plays a Central Role in DNA Replication and Repair Pathways. Cancer Research. 81(5). 1332–1346. 32 indexed citations
11.
12.
Yan, Gang, et al.. (2020). Divergent 2‐Chloroquinazolin‐4(3H)‐one Rearrangement: Twisted‐Cyclic Guanidine Formation or Ring‐Fused N‐Acylguanidines via a Domino Process. Chemistry - A European Journal. 26(11). 2486–2492. 19 indexed citations
13.
Wang, Yan, et al.. (2017). The application of 3D-printed transparent facemask for facial scar management and its biomechanical rationale. Burns. 44(2). 453–461. 22 indexed citations
14.
Yan, Gang, Lina Hao, Yan Niu, et al.. (2017). 2-Substituted-thio- N -(4-substituted-thiazol/1 H -imidazol-2-yl)acetamides as BACE1 inhibitors: Synthesis, biological evaluation and docking studies. European Journal of Medicinal Chemistry. 137. 462–475. 24 indexed citations
15.
Meng, Xiang‐Gao, Cuixia Cheng, & Gang Yan. (2009). A two-dimensional network in the molecular salt 2-methylimidazolium hydrogen glutarate, and three-dimensional networks in the salts 2-methylimidazolium hydrogen succinate and 2-methylimidazolium hydrogen adipate monohydrate. Acta Crystallographica Section C Crystal Structure Communications. 65(5). o217–o221. 4 indexed citations
16.
Yan, Gang, Lijia Shi, Alfred Penfornis, & Denise L. Faustman. (2003). Impaired Processing and Presentation by MHC Class II Proteins in Human Diabetic Cells. The Journal of Immunology. 170(1). 620–627. 12 indexed citations
17.
Penfornis, Alfred, Gang Yan, Lijia Shi, & Denise L. Faustman. (2002). Polymorphisms of human TAP2 detected by denaturing gradient gel electrophoresis. Human Immunology. 64(1). 156–167. 3 indexed citations
18.
Yan, Gang, Lijia Shi, & Denise L. Faustman. (1999). Novel Splicing of the Human MHC-Encoded Peptide Transporter Confers Unique Properties. The Journal of Immunology. 162(2). 852–859. 33 indexed citations
19.
Shi, Lijia, Gang Yan, Yang Fu, et al.. (1997). Human TAP1 polymorphisms detected by denaturing gradient gel electrophoresis. Tissue Antigens. 49(4). 421–426. 10 indexed citations
20.
Guo, Jane, et al.. (1994). Abnormal class I assembly and peptide presentation in the nonobese diabetic mouse.. Proceedings of the National Academy of Sciences. 91(23). 11128–11132. 23 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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