Shi Yan

572 total citations
35 papers, 396 citations indexed

About

Shi Yan is a scholar working on Sociology and Political Science, Clinical Psychology and General Health Professions. According to data from OpenAlex, Shi Yan has authored 35 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 8 papers in Clinical Psychology and 7 papers in General Health Professions. Recurrent topics in Shi Yan's work include Criminal Justice and Corrections Analysis (14 papers), Crime Patterns and Interventions (12 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (6 papers). Shi Yan is often cited by papers focused on Criminal Justice and Corrections Analysis (14 papers), Crime Patterns and Interventions (12 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (6 papers). Shi Yan collaborates with scholars based in United States, China and Russia. Shi Yan's co-authors include Shawn D. Bushway, Allison D. Redlich, Robert J. Norris, Xinwang Zhu, Hongchen Qu, Shiyou Wu, Brian E. Perron, Flavio F. Marsiglia, Xiang Li and Xing Wang and has published in prestigious journals such as PLoS ONE, American Journal of Transplantation and Educational Psychology Review.

In The Last Decade

Shi Yan

34 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shi Yan United States	12	128	75	71	48	39	35	396
Bahar Yüksel Türkiye	13	45 0.4×	134 1.8×	58 0.8×	9 0.2×	32 0.8×	35	619
Sharareh Eskandarieh Iran	15	27 0.2×	79 1.1×	72 1.0×	12 0.3×	15 0.4×	83	743
T. Keith Edwards United States	7	26 0.2×	40 0.5×	50 0.7×	9 0.2×	16 0.4×	16	528
Faraz M Ali United Kingdom	9	42 0.3×	79 1.1×	30 0.4×	7 0.1×	5 0.1×	31	483
Jiaming Rao China	12	33 0.3×	17 0.2×	65 0.9×	19 0.4×	12 0.3×	45	520
Sarah Burkill Sweden	12	81 0.6×	50 0.7×	69 1.0×	17 0.4×	11 0.3×	34	496
Caitlin Farrell United States	9	54 0.4×	152 2.0×	76 1.1×	10 0.2×	15 0.4×	15	490
Cătălin Cîrstoveanu Romania	8	22 0.2×	183 2.4×	35 0.5×	21 0.4×	41 1.1×	44	458
Katherine Swainston United Kingdom	10	49 0.4×	20 0.3×	17 0.2×	5 0.1×	10 0.3×	40	261
Zohreh Khakbazan Iran	12	73 0.6×	38 0.5×	55 0.8×	6 0.1×	4 0.1×	49	476

Countries citing papers authored by Shi Yan

Since Specialization

Citations

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

Fields of papers citing papers by Shi Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Yan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yan, Shi, et al.. (2025). Do direct and courtesy prison stigma hinder support for a startup business? A vignette experiment. Journal of Experimental Criminology.

Yan, Shi, et al.. (2025). Revisiting the Use of Total Incarceration Variables in Understanding Racial and Ethnic Disparities in Sentencing. Crime & Delinquency. 1 indexed citations

Petersen, Nick, Ojmarrh Mitchell, & Shi Yan. (2024). Do progressive prosecutors increase crime? A quasi‐experimental analysis of crime rates in the 100 largest counties, 2000–2020. Criminology & Public Policy. 23(2). 459–490. 7 indexed citations

Jelveh, Zubin, et al.. (2023). No ground truth? No problem: Improving administrative data linking using active learning and a little bit of guile. PLoS ONE. 18(4). e0283811–e0283811. 2 indexed citations

Yan, Shi, et al.. (2023). Parental Monitoring, Exposure to Family Violence, and Delinquency: A Latent Class Analysis on Arizona Youth. Victims & Offenders. 20(3). 608–629. 2 indexed citations

Yan, Shi, et al.. (2022). Does the Premium Fit the Risk? The Role of Criminal Escalation in Case Processing. Crime & Delinquency. 68(9). 1462–1491. 1 indexed citations

Yan, Shi, et al.. (2021). Sex Disparities in Sentencing and Judges’ Beliefs: A Vignette Approach. Victims & Offenders. 17(4). 597–619. 8 indexed citations

Wilford, Miko M., et al.. (2021). Innocence in the shadow of COVID-19: Plea decision making during a pandemic.. Journal of Experimental Psychology Applied. 27(4). 739–750. 11 indexed citations

Li, Xiang, Shaolei Li, Shi Yan, et al.. (2019). <p>Impact of preoperative exercise therapy on surgical outcomes in lung cancer patients with or without COPD: a systematic review and meta-analysis</p>. Cancer Management and Research. Volume 11. 1765–1777. 37 indexed citations

10.

Yan, Shi, et al.. (2017). Effect of isometric handgrip training on resting blood pressure in adults: a meta-analysis of randomized controlled trials. The Journal of Sports Medicine and Physical Fitness. 57(1-2). 154–160. 52 indexed citations

11.

Yan, Shi. (2015). An Evaluation of Demographic Matching of Criminal History Records in New York State. 1 indexed citations

12.

Kuang, Lei, et al.. (2015). CYFRA21-1 levels could be a biomarker for bladder cancer: a meta-analysis. Genetics and Molecular Research. 14(2). 3921–3931. 20 indexed citations

13.

Qu, Hongchen, et al.. (2014). Urinary nerve growth factor levels could be a biomarker for overactive bladder symptom: a meta-analysis. Genetics and Molecular Research. 13(4). 8609–8619. 12 indexed citations

14.

Qu, Hongchen, et al.. (2014). Urinary Nerve Growth Factor Could Be a Biomarker for Interstitial Cystitis/Painful Bladder Syndrome: A Meta-Analysis. PLoS ONE. 9(9). e106321–e106321. 26 indexed citations

15.

Yan, Shi, et al.. (2013). HuGE systematic review and meta-analysis demonstrate association of CASP-3 and CASP-7 genetic polymorphisms with cancer risk. Genetics and Molecular Research. 12(2). 1561–1573. 24 indexed citations

16.

Yan, Shi, et al.. (2012). Role of CASP-10 gene polymorphisms in cancer susceptibility: a HuGE review and meta-analysis. Genetics and Molecular Research. 11(4). 3998–4007. 8 indexed citations

17.

Yan, Shi, et al.. (2012). A Mouse Model of CMV Transmission Following Kidney Transplantation. American Journal of Transplantation. 12(4). 1024–1028. 11 indexed citations

18.

Yan, Shi & Daniel P. Fedorko. (2002). Recent advances in laboratory diagnosis of human cytomegalovirus infection. 2(3). 155–167. 7 indexed citations

19.

Koffron, Alan J., Thomas K. Varghese, Mary Hummel, et al.. (1999). Immunosuppression is not required for reactivation of latent murine cytomegalovirus. Transplantation Proceedings. 31(1-2). 1395–1396. 15 indexed citations

20.

Koffron, Alan J., Bruce K. Patterson, Shi Yan, et al.. (1997). Latent human cytomegalovirus: A functional study. Transplantation Proceedings. 29(1-2). 793–795. 4 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.

Explore authors with similar magnitude of impact