Shi Huang

10.2k citations
198 papers · 7.2k indexed · 2 hit papers · h-index 47

Shi Huang

191 papers receiving 7.0k citations

Hit Papers

Associatio...1051998202620072016100200300400

Peers

Shi Huang
Comparison fields: 5 of 161
  • Otorhinolaryngology 350
  • Clinical Psychology 1.5k
  • Molecular Biology 2.7k
  • General Health Professions 957
  • Applied Psychology 174
Replace Katja Fall with:
Katja Fall Sweden
Patrik K. E. Magnusson Sweden
Faith Gibson United Kingdom
Sanjay Shete United States
Ellen R. Gritz United States
Catrin Tudur Smith United Kingdom
Brian MacMahon United States
Robert M. Chamberlain United States
Peter J. Kelly Australia
Esteban G. Burchard United States
Shi Huang relative to Katja Fall Sweden Katja Fall's profile →
Citations per field
00.5×8.1×
Katja Fall · 1×
Citations per year

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

The 25 scholars most cited alongside Shi Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shi Huang Line = papers co-authored together Shi Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20255
4 20242
5 20240
6 20223
7
Association of step counts over time with the risk of chronic disease in the All of Us Research Programbreakdown →
2022105
8 202022
9 201929
10 201632
11 201617
12 201615
13 20152
14 201356
15 20132
16 201280
17 201143
18 200817
19 200715
20 199234

About Shi Huang

Shi Huang is a scholar working on Aging, Clinical Psychology and Cardiology and Cardiovascular Medicine, having authored 198 papers that have together received 7.2k indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (32 papers), Cancer-related gene regulation (19 papers), Racial and Ethnic Identity Research (17 papers), Epigenetics and DNA Methylation (17 papers), Cancer-related Molecular Pathways (14 papers), Adolescent Sexual and Reproductive Health (14 papers), Cardiovascular Function and Risk Factors (14 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Otorhinolaryngology (350 citations), Clinical Psychology (1.5k citations) and Molecular Biology (2.7k citations). Shi Huang has collaborated with scholars based in United States, China and France. Frequent co-authors include Guillermo Prado, Seth J. Schwartz, Hilda Pantín, José Szapocznik, Gang Shao, Wei Fang, Limin Liu, C. Hendricks Brown, Keun‐Cheol Kim and Jennifer B. Unger. Their work appears in journals such as Genomics, Prevention Science, Journal of the American College of Cardiology, PLoS ONE and Journal of the American Heart Association.

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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