Yan Yan

19.8k total citations · 3 hit papers
357 papers, 13.0k citations indexed

About

Yan Yan is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Yan Yan has authored 357 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Surgery, 70 papers in Pulmonary and Respiratory Medicine and 68 papers in Molecular Biology. Recurrent topics in Yan Yan's work include Nerve injury and regeneration (29 papers), Prostate Cancer Diagnosis and Treatment (16 papers) and Pediatric Urology and Nephrology Studies (12 papers). Yan Yan is often cited by papers focused on Nerve injury and regeneration (29 papers), Prostate Cancer Diagnosis and Treatment (16 papers) and Pediatric Urology and Nephrology Studies (12 papers). Yan Yan collaborates with scholars based in United States, China and United Kingdom. Yan Yan's co-authors include Ziyad Al‐Aly, Yan Xie, Benjamin Bowe, Hong Xian, Tingting Li, Martha J. Radford, Brian F. Gage, Amy D. Waterman, Graham A. Colditz and Kathleen Y. Wolin and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Yan Yan

336 papers receiving 12.7k citations

Hit Papers

Analysis of the Global Burden of... 2005 2026 2012 2019 2018 2006 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Yan United States 57 2.5k 2.3k 1.8k 1.5k 1.5k 357 13.0k
Javier Llorca Spain 62 1.9k 0.8× 4.1k 1.8× 2.3k 1.3× 2.2k 1.4× 1.1k 0.8× 479 15.7k
Chia‐Hung Kao Taiwan 51 3.5k 1.4× 3.3k 1.4× 1.6k 0.9× 2.4k 1.5× 1.9k 1.3× 987 16.4k
Martin C. S. Wong Hong Kong 62 2.3k 0.9× 2.5k 1.1× 2.4k 1.3× 2.7k 1.7× 3.5k 2.4× 544 15.9k
Linda S. Hynan United States 60 1.9k 0.7× 965 0.4× 1.3k 0.7× 2.5k 1.6× 1.4k 1.0× 307 14.4k
Chung‐Yi Li Taiwan 55 1.3k 0.5× 1.1k 0.5× 1.5k 0.8× 2.0k 1.3× 973 0.7× 591 13.0k
Yoshihisa Fujino Japan 44 996 0.4× 1.2k 0.5× 1.2k 0.7× 735 0.5× 929 0.6× 470 8.4k
Zhiqiang Wang China 56 1.3k 0.5× 1.3k 0.5× 2.7k 1.5× 1.3k 0.8× 877 0.6× 604 12.8k
Young Joo Park South Korea 64 2.3k 0.9× 1.2k 0.5× 3.4k 1.9× 1.8k 1.1× 1.9k 1.3× 620 15.4k
Vijay K. Shukla India 42 2.9k 1.1× 1.5k 0.7× 1.0k 0.6× 956 0.6× 1.2k 0.8× 248 9.5k
Danny Liew Australia 52 2.5k 1.0× 1.1k 0.5× 745 0.4× 1.6k 1.0× 689 0.5× 520 12.4k

Countries citing papers authored by Yan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Yan. A scholar is included among the top collaborators of Yan 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 Yan Yan. Yan 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.
Yuan, Huazhi, et al.. (2025). Long tunnel group driving fatigue detection model based on XGBoost algorithm. Journal of Traffic and Transportation Engineering (English Edition). 12(1). 167–179. 1 indexed citations
3.
Qiu, Haiyan, et al.. (2024). A dual-recognition precise nucleic acid probe based on tetrahedron and Cas12a reveals gene-environment interactions. Sensors and Actuators B Chemical. 426. 137001–137001. 2 indexed citations
4.
Li, Hui, et al.. (2024). Serum interleukin-17 A and homocysteine levels in children with autism. BMC Neuroscience. 25(1). 17–17. 4 indexed citations
5.
Yan, Yan, et al.. (2024). Impact of strain and doping on Li-ion transport in Li3OBr0.5Cl0.5 anti-perovskite solid lithium-ion electrolytes: Insights from DFT and AIMD calculations. Materials Chemistry and Physics. 332. 130202–130202. 1 indexed citations
6.
He, Xiao, Xiaoting Hong, Yan Yan, et al.. (2023). Single-cell landscape of immune cells during the progression from HBV infection to HBV cirrhosis and HBV-associated hepatocellular carcinoma. Frontiers in Immunology. 14. 1320414–1320414. 11 indexed citations
7.
8.
Lee, Geumbee, Hong‐Joon Yoon, Yeon Sik Choi, et al.. (2022). A bioresorbable peripheral nerve stimulator for electronic pain block. Science Advances. 8(40). eabp9169–eabp9169. 63 indexed citations
9.
Riehl, Terrence E., Baosheng Chen, Yan Yan, et al.. (2019). Hyaluronic Acid Binding to TLR4 Promotes Proliferation and Blocks Apoptosis in Colon Cancer. Molecular Cancer Therapeutics. 18(12). 2446–2456. 47 indexed citations
10.
Xie, Yan, Benjamin Bowe, Ali H. Mokdad, et al.. (2018). Analysis of the Global Burden of Disease study highlights the global, regional, and national trends of chronic kidney disease epidemiology from 1990 to 2016. Kidney International. 94(3). 567–581. 815 indexed citations breakdown →
12.
Poppler, Louis H., Xueping Ee, Lauren Schellhardt, et al.. (2016). Axonal Growth Arrests After an Increased Accumulation of Schwann Cells Expressing Senescence Markers and Stromal Cells in Acellular Nerve Allografts. Tissue Engineering Part A. 22(13-14). 949–961. 63 indexed citations
13.
Yan, Yan, Matthew D. Wood, Daniel A. Hunter, et al.. (2016). The Effect of Short Nerve Grafts in Series on Axonal Regeneration Across Isografts or Acellular Nerve Allografts. The Journal Of Hand Surgery. 41(6). e113–e121. 13 indexed citations
14.
Zilberberg, Marya D., Kimberly A. Reske, Margaret A. Olsen, Yan Yan, & Erik R. Dubberke. (2014). Risk factors for recurrent Clostridium difficile infection (CDI) hospitalization among hospitalized patients with an initial CDI episode: a retrospective cohort study. BMC Infectious Diseases. 14(1). 306–306. 50 indexed citations
15.
Saheb-Al-Zamani, Maryam, Yan Yan, Scott J. Farber, et al.. (2013). Limited regeneration in long acellular nerve allografts is associated with increased Schwann cell senescence. Experimental Neurology. 247. 165–177. 164 indexed citations
16.
Unkart, Jonathan, Lauren Anderson, Ellen Li, et al.. (2008). Risk Factors for Surgical Recurrence after Ileocolic Resection of Crohn's Disease. Diseases of the Colon & Rectum. 51(8). 1211–1216. 66 indexed citations
17.
Venkatesh, Ramakrishna, Chandru P. Sundaram, R. Sherburne Figenshau, et al.. (2007). Prospective randomized comparison of cutting and dilating disposable trocars for access during laparoscopic renal surgery.. PubMed. 11(2). 198–203. 16 indexed citations
18.
Yan, Yan, Yan Lü, Min Wang, et al.. (2006). Effect of an Epidermal Growth Factor Receptor Inhibitor in Mouse Models of Lung Cancer. Molecular Cancer Research. 4(12). 971–981. 27 indexed citations
19.
Lü, Yan, Ruisheng Yao, Yan Yan, et al.. (2006). A Gene Expression Signature that Can Predict Green Tea Exposure and Chemopreventive Efficacy of Lung Cancer in Mice. Cancer Research. 66(4). 1956–1963. 29 indexed citations
20.
Belani, Jay S., Yan Yan, & C.K. Naughton. (2004). Does varicocele grade predict vein number and size at microsurgical subinguinal repair?. Urology. 64(1). 137–139. 12 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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