Shaoling Liang

451 citations
11 papers · 390 · h-index 10

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

Shaoling Liang

11 papers receiving 378 citations

Peers

Shaoling Liang
Comparison fields: 5 of 35
  • Virology 72
  • Infectious Diseases 153
  • Epidemiology 193
  • Sociology and Political Science 207
  • General Health Professions 76
Replace Shuquan Qu with:
Shuquan Qu China
Tasnim Azim Bangladesh
Thomas M. Liberti United States
Panagiotis Vagenas United States
Xinhua Sun China
H J van Haastrecht Netherlands
Zhen Ning China
Xiaorun Tao China
Binwei Song United States
Meng Donghua United States
Shaoling Liang relative to Shuquan Qu China Shuquan Qu's profile →
Citations per field
00.5×1.5×
Shuquan Qu · 1×
Citations per year

Countries citing papers authored by Shaoling Liang

Since Specialization
Citations

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

Fields of papers citing papers by Shaoling Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shaoling Liang, 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 Shaoling Liang Line = papers co-authored together Shaoling Liang links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 199969
2 200567
3 200655
4 200750
5 200547
6 200729
7 199924
8 200216
9 200815
10 201313
11
[Qualitative study of drug-using and sexual behaviors of drug users in Guangxi].
20025

About Shaoling Liang

Shaoling Liang is a scholar working on Infectious Diseases, Sociology and Political Science, Epidemiology, General Health Professions and Virology, having authored 11 papers that have together received 390 indexed citations. Recurring topics across this work include Sex work and related issues (6 papers), HIV/AIDS Research and Interventions (5 papers), HIV, Drug Use, Sexual Risk (5 papers), Adolescent Sexual and Reproductive Health (3 papers), HIV/AIDS drug development and treatment (2 papers), HIV Research and Treatment (2 papers), Homelessness and Social Issues (2 papers) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Virology (72 citations), Infectious Diseases (153 citations), Epidemiology (193 citations), Sociology and Political Science (207 citations) and General Health Professions (76 citations). Shaoling Liang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Baiqing Dong, Xiaoyi Fang, Ran Zhao, Hongmei Yang, Xiaoming Li, Bonita Stanton, Yuejiao Zhou, Wei Liu, Yan Hong and Wei Liu. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, AIDS Education and Prevention, Sexually Transmitted Diseases, Health Care For Women International and AIDS and Behavior.

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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