Shi Huang

10.2k total citations · 2 hit papers
198 papers, 7.2k citations indexed

About

Shi Huang is a scholar working on Molecular Biology, Clinical Psychology and Genetics. According to data from OpenAlex, Shi Huang has authored 198 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 37 papers in Clinical Psychology and 34 papers in Genetics. Recurrent topics in Shi Huang's work include Child and Adolescent Psychosocial and Emotional Development (32 papers), Cancer-related gene regulation (19 papers) and Racial and Ethnic Identity Research (17 papers). Shi Huang is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (32 papers), Cancer-related gene regulation (19 papers) and Racial and Ethnic Identity Research (17 papers). Shi Huang collaborates with scholars based in United States, China and France. Shi Huang's co-authors include Guillermo Prado, Seth J. Schwartz, Hilda Pantín, José Szapocznik, Gang Shao, Wei Fang, Limin Liu, Keun‐Cheol Kim, C. Hendricks Brown and Jennifer B. Unger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Shi Huang

191 papers receiving 7.0k citations

Hit Papers

Oral Cancer Risk in Relation to Sexual History and Eviden... 1998 2026 2007 2016 1998 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Huang United States 47 2.7k 1.5k 997 957 825 198 7.2k
Carol Stocking Germany 53 3.2k 1.2× 572 0.4× 341 0.3× 1.4k 1.4× 1.1k 1.3× 201 9.0k
A. Lindsay Frazier United States 53 1.1k 0.4× 1.0k 0.7× 474 0.5× 1.1k 1.1× 1.9k 2.3× 224 11.0k
Katja Fall Sweden 44 935 0.3× 951 0.7× 395 0.4× 455 0.5× 1.4k 1.6× 179 6.1k
Tony K.H. Chung Hong Kong 53 1.9k 0.7× 1.3k 0.9× 363 0.4× 249 0.3× 762 0.9× 252 9.1k
Ellen R. Gritz United States 60 875 0.3× 638 0.4× 1.3k 1.3× 1.4k 1.5× 2.9k 3.5× 235 10.4k
Patrik K. E. Magnusson Sweden 58 2.4k 0.9× 811 0.6× 544 0.5× 183 0.2× 401 0.5× 188 10.2k
Willem A. Kamps Netherlands 54 2.2k 0.8× 452 0.3× 844 0.8× 191 0.2× 1.8k 2.2× 177 8.4k
Louise Hiller United Kingdom 30 965 0.4× 1.4k 1.0× 381 0.4× 826 0.9× 1.5k 1.9× 86 6.2k
Harvey Kushner United States 49 1.2k 0.4× 1.1k 0.8× 791 0.8× 1.2k 1.3× 557 0.7× 171 10.4k
Sarah M. Jenkins United States 45 800 0.3× 399 0.3× 292 0.3× 832 0.9× 1.2k 1.4× 285 7.2k

Countries citing papers authored by Shi Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shi Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Huang. A scholar is included among the top collaborators of Shi Huang 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 Huang. Shi Huang 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.
Wang, Xixian, Sen Wang, Xiaotong Hou, et al.. (2025). Label-free high-throughput live-cell sorting of genome-wide random mutagenesis libraries for metabolic traits by Raman flow cytometry. Proceedings of the National Academy of Sciences. 122(22). e2503641122–e2503641122. 3 indexed citations
2.
Shuey, Megan M., Rebecca T. Levinson, Eric Farber‐Eger, et al.. (2025). Risk of Coronary Artery Disease Associated With Transitions in Metabolic Health in a Clinical Cohort of 69 272. Journal of the American Heart Association. 14(23). e037597–e037597.
4.
Lei, Xiaoyun, Yinshuang Li, Shi Huang, et al.. (2024). ERVcancer: a web resource designed for querying activation of human endogenous retroviruses across major cancer types. Journal of genetics and genomics. 52(4). 583–591. 2 indexed citations
5.
Hu, Jiun‐Ruey, Shi Huang, Hayden B. Bosworth, et al.. (2022). Association of Perceived Health Competence With Cardiac Rehabilitation Initiation. Journal of Cardiopulmonary Rehabilitation and Prevention. 43(2). 93–100. 3 indexed citations
6.
Master, Hiral, Jeffrey Annis, Shi Huang, et al.. (2022). Association of step counts over time with the risk of chronic disease in the All of Us Research Program. Nature Medicine. 28(11). 2301–2308. 105 indexed citations breakdown →
7.
Shuey, Megan M., Shi Huang, Rebecca T. Levinson, et al.. (2021). Exploration of an alternative to body mass index to characterize the relationship between height and weight for prediction of metabolic phenotypes and cardiovascular outcomes. Obesity Science & Practice. 8(1). 124–130. 7 indexed citations
8.
Shah, Rachana, Zheng-Zheng Tang, Guanhua Chen, Shi Huang, & Jane F. Ferguson. (2020). Soy food intake associates with changes in the metabolome and reduced blood pressure in a gut microbiota dependent manner. Nutrition Metabolism and Cardiovascular Diseases. 30(9). 1500–1511. 22 indexed citations
9.
Wang, Mingrui, Dapeng Wang, Jun Yu, & Shi Huang. (2020). Enrichment in conservative amino acid changes among fixed and standing missense variations in slowly evolving proteins. PeerJ. 8. e9983–e9983. 2 indexed citations
10.
Maron, Bradley A., Evan L. Brittain, Edward Hess, et al.. (2020). Pulmonary vascular resistance and clinical outcomes in patients with pulmonary hypertension: a retrospective cohort study. The Lancet Respiratory Medicine. 8(9). 873–884. 146 indexed citations
11.
Xie, Xiaolei, et al.. (2018). Repression of Akt3 gene transcription by the tumor suppressor RIZ1. Scientific Reports. 8(1). 1528–1528. 8 indexed citations
12.
Huang, Shi. (2016). New thoughts on an old riddle: What determines genetic diversity within and between species?. Genomics. 108(1). 3–10. 32 indexed citations
13.
Lorenzo‐Blanco, Elma I., Seth J. Schwartz, Jennifer B. Unger, et al.. (2016). Alcohol use among recent immigrant Latino/a youth: acculturation, gender, and the Theory of Reasoned Action. Ethnicity and Health. 21(6). 609–627. 17 indexed citations
14.
Pan, Yue, Weize Wang, Ke-Sheng Wang, et al.. (2015). Age Differences in the Trends of Smoking Among California Adults: Results from the California Health Interview Survey 2001–2012. Journal of Community Health. 40(6). 1091–1098. 2 indexed citations
15.
Huang, Shi. (2015). Comparison Between Subsidy Policies on Photovoltaic Industry of China and the U.S.: Based on Three-Stage Sequential Game Models. International Business Management. 11(1). 32–40. 6 indexed citations
16.
Perrino, Tatiana, Hilda Pantín, Guillermo Prado, et al.. (2014). Preventing Internalizing Symptoms Among Hispanic Adolescents: A Synthesis Across Familias Unidas Trials. Prevention Science. 15(6). 917–928. 52 indexed citations
17.
Brown, Scott C., Hilda Pantín, Joanna Lombard, et al.. (2013). Walk Score®. American Journal of Preventive Medicine. 45(2). 202–206. 56 indexed citations
18.
Schwartz, Seth J., Verónica Benet‐Martínez, George P. Knight, et al.. (2013). Effects of language of assessment on the measurement of acculturation: Measurement equivalence and cultural frame switching.. Psychological Assessment. 26(1). 100–114. 40 indexed citations
19.
Wang, Dapeng, Fei Liu, Lei Wang, Shi Huang, & Jun Yu. (2011). Nonsynonymous substitution rate (Ka) is a relatively consistent parameter for defining fast-evolving and slow-evolving protein-coding genes. Biology Direct. 6(1). 13–13. 43 indexed citations
20.
Briknarová, Klára, Xin Zhou, Arnold C. Satterthwait, et al.. (2007). Structural studies of the SET domain from RIZ1 tumor suppressor. Biochemical and Biophysical Research Communications. 366(3). 807–813. 15 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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