Gai Yan

1.2k total citations · 1 hit paper
16 papers, 943 citations indexed

About

Gai Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Gai Yan has authored 16 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 3 papers in Genetics. Recurrent topics in Gai Yan's work include Epigenetics and DNA Methylation (4 papers), Estrogen and related hormone effects (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Gai Yan is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Estrogen and related hormone effects (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Gai Yan collaborates with scholars based in United States, Germany and Israel. Gai Yan's co-authors include Philip A. Cole, Erin M. Bowers, Cecilia Larocca, David J. Meyers, Rhoda M. Alani, Ling Wang, Chandrani Mukherjee, Nicholas T. Crump, Marc A. Holbert and Ruben Abagyan and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and The FASEB Journal.

In The Last Decade

Gai Yan

15 papers receiving 932 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Virtual Ligand Screening of the p300/CBP Histone Acetyltransferase: Identification of a Selective Small Molecule Inhibitor

2010 504 citations Erin M. Bowers, Gai Yan et al. Chemistry & Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gai Yan United States	9	759	132	124	108	101	16	943
Xiaomeng Hou China	15	867 1.1×	114 0.9×	99 0.8×	198 1.8×	112 1.1×	26	1.1k
Paolo Bonvini Italy	16	721 0.9×	133 1.0×	229 1.8×	101 0.9×	105 1.0×	34	1.0k
Roberta Bosotti Italy	13	1.0k 1.4×	141 1.1×	263 2.1×	157 1.5×	105 1.0×	28	1.4k
Jiuxiang Zhu United States	11	576 0.8×	89 0.7×	161 1.3×	85 0.8×	65 0.6×	11	1.0k
Kevin Hudson United Kingdom	17	779 1.0×	71 0.5×	223 1.8×	156 1.4×	145 1.4×	30	1.1k
Lynn Ueno United States	9	630 0.8×	60 0.5×	221 1.8×	148 1.4×	126 1.2×	13	910
R.C. Hillig Germany	18	668 0.9×	75 0.6×	123 1.0×	122 1.1×	275 2.7×	32	1.0k
Frederick S. Vizeacoumar Canada	17	603 0.8×	122 0.9×	226 1.8×	154 1.4×	64 0.6×	51	912
Laura C.A. Galbraith United Kingdom	11	465 0.6×	106 0.8×	109 0.9×	239 2.2×	51 0.5×	17	657
Yeong Sang Kim United States	13	614 0.8×	191 1.4×	179 1.4×	107 1.0×	134 1.3×	17	863

Countries citing papers authored by Gai Yan

Since Specialization

Citations

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

Fields of papers citing papers by Gai Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gai Yan

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

All Works

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16 of 16 papers shown

Wang, Qiaochu, et al.. (2024). Cadmium activation of wild-type and constitutively active estrogen receptor alpha. Frontiers in Endocrinology. 15. 1380047–1380047. 6 indexed citations

Wang, Qiaochu, Gai Yan, Xu Shi, et al.. (2024). Activation of estrogen-related receptor γ by calcium and cadmium. Frontiers in Endocrinology. 15. 1400022–1400022.

Wang, Qiaochu, Kedra Cyrus, Gai Yan, et al.. (2023). Calcium Activation of the Androgen Receptor in Prostate Cells. International Journal of Endocrinology. 2023. 1–12. 5 indexed citations

Peran, Ivana, Eveline E. Vietsch, Gai Yan, Anna T. Riegel, & Anton Wellstein. (2022). Distinct Response of Circulating microRNAs to the Treatment of Pancreatic Cancer Xenografts with FGFR and ALK Kinase Inhibitors. Cancers. 14(6). 1517–1517. 1 indexed citations

Jee, Youn Hee, Yael Lebenthal, Piya Chaemsaithong, et al.. (2016). Midkine and Pleiotrophin Concentrations in Amniotic Fluid in Healthy and Complicated Pregnancies. PLoS ONE. 11(4). e0153325–e0153325. 7 indexed citations

Yan, Gai, Mark S. Eller, Cecilia Larocca, et al.. (2013). Selective Inhibition of p300 HAT Blocks Cell Cycle Progression, Induces Cellular Senescence, and Inhibits the DNA Damage Response in Melanoma Cells. Journal of Investigative Dermatology. 133(10). 2444–2452. 83 indexed citations

Tarrant, Mary Katherine, Hee Sool Rho, Zhi Xie, et al.. (2012). Regulation of CK2 by phosphorylation and O-GlcNAcylation revealed by semisynthesis. Nature Chemical Biology. 8(3). 262–269. 134 indexed citations

Yan, Gai, et al.. (2012). A method of personalized recommendation based on multi-label propagation for overlapping community detection. 360–364. 8 indexed citations

Bowers, Erin M., Gai Yan, Chandrani Mukherjee, et al.. (2010). Virtual Ligand Screening of the p300/CBP Histone Acetyltransferase: Identification of a Selective Small Molecule Inhibitor. Chemistry & Biology. 17(5). 471–482. 504 indexed citations breakdown →

10.

Yan, Gai. (2010). Rate Constants for the Gas Phase Reactions of Ozone with Diethylamine and Triethylamine. 2 indexed citations

11.

Gonzalgo, Mark L., Srinivasan Yegnasubramanian, Gai Yan, et al.. (2006). Molecular Profiling and Classification of Sporadic Renal Cell Carcinoma by Quantitative Methylation Analysis. The Journal of Urology. 175(3). 891–891. 13 indexed citations

12.

Rogers, Craig, Mark L. Gonzalgo, Gai Yan, et al.. (2006). High Concordance of Gene Methylation in Post-Digital Rectal Examination and Post-Biopsy Urine Samples for Prostate Cancer Detection. The Journal of Urology. 176(5). 2280–2284. 32 indexed citations

13.

Rogers, Craig, Mark L. Gonzalgo, Gai Yan, et al.. (2006). 791: High Concordance of Gene Methylation in Post-Dre and Post-Biopsy Urine Samples for Prostate Cancer Detection. The Journal of Urology. 175(4S). 256–256. 1 indexed citations

14.

Rogers, Craig, Gai Yan, Shan Zha, et al.. (2004). PROSTATE CANCER DETECTION ON URINALYSIS FOR α METHYLACYL COENZYME A RACEMASE PROTEIN. The Journal of Urology. 172(4 Part 1). 1501–1503. 77 indexed citations

15.

Gonzalgo, Mark L., Srinivasan Yegnasubramanian, Gai Yan, et al.. (2004). Molecular Profiling and Classification of Sporadic Renal Cell Carcinoma by Quantitative Methylation Analysis. Clinical Cancer Research. 10(21). 7276–7283. 45 indexed citations

16.

Marko, Nicholas F., Paul B. Dieffenbach, Gai Yan, et al.. (2003). Does metabolic radiolabeling stimulate the stress response? Gene expression profiling reveals differential cellular responses to internal beta vs. external gamma radiation. The FASEB Journal. 17(11). 1470–1486. 25 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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