Hao Liang

628 citations
31 papers · 422 · h-index 10

Impact in

  • Urology top 10%
    • Urinary Bladder and Prostate Research
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

Hao Liang

30 papers receiving 418 citations

Peers

Hao Liang
Comparison fields: 5 of 87
  • Urology 45
  • Infectious Diseases 93
  • Virology 12
  • Obstetrics and Gynecology 15
  • Epidemiology 60
Replace Débora Heller with:
Débora Heller Brazil
Lucile E. White United States
Hye-Rim Lee South Korea
James A. Katancik United States
Bhushan Madke India
Tarun Kumar India
Nishant Singh India
Sanjay Chauhan India
Qiushuang Li China
Yan Xuan China
Hao Liang relative to Débora Heller Brazil Débora Heller's profile →
Citations per field
00.5×
Débora Heller · 1×
Citations per year

Countries citing papers authored by Hao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202071
2 202360
3 201458
4 201951
5 202029
6 201622
7 201622
8 201415
9 201915
10 202011
11 20209
12 20216
13 20156
14 20226
15 20255
16
[Role of cytomegalovirus infection in the pathogenesis of type 2 diabetes mellitus].
20035
17 20224
18 20244
19 20223
20 20233

About Hao Liang

Hao Liang is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Molecular Biology, having authored 31 papers that have together received 422 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (2 papers), HIV/AIDS Research and Interventions (2 papers), Tuberculosis Research and Epidemiology (2 papers), Catalytic Processes in Materials Science (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Esophageal Cancer Research and Treatment (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Urology (45 citations), Infectious Diseases (93 citations), Virology (12 citations), Obstetrics and Gynecology (15 citations) and Epidemiology (60 citations). Hao Liang has collaborated with scholars based in China and United States. Frequent co-authors include Zuwei Li, Zhenhua Feng, Yeping Peng, Yaxian Li, Xiaoling Li, Junjun Jiang, Li Ye, Jiegang Huang, Bingyu Liang and Chuanyi Ning. Their work appears in journals such as BMC Infectious Diseases, Frontiers in Microbiology, PLoS ONE, Neurosurgical Review and Medicine.

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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