Honghong Wang

156 papers receiving 3.2k citations

Hit Papers

Single-cell RNA sequencing and immune microenvironment analysis reveal PLOD2-driven malignant transformation in cervical cancer 2025 · 26 citations
260Years since publication510152025

Peers

Honghong Wang
Comparison fields: 5 of 180
  • Research and Theory 96
  • Neurology 457
  • Infectious Diseases 895
  • Virology 177
  • Leadership and Management 40
Replace Chia‐Chin Lin with:
Chia‐Chin Lin Taiwan
Michael J. Peluso United States
Guillaume Fond France
Lorna Kwai Ping Suen Hong Kong
Jennifer Evans United Kingdom
Bizu Gelaye United States
Soghrat Faghihzadeh Iran
Mílton A. Martins Brazil
Kyung Hee Lee South Korea
Edward J. Gracely United States
Honghong Wang relative to Chia‐Chin Lin Taiwan Chia‐Chin Lin's profile →
Citations per field
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Chia‐Chin Lin · 1×
Citations per year

Countries citing papers authored by Honghong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Honghong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015273
2 2016204
3 2019174
4 2012166
5 200893
6 201286
7 200384
8 201176
9 201672
10 201567
11 200766
12 201064
13 201562
14 200261
15 201060
16 201358
17 200656
18 201455
19 202047
20 201246

About Honghong Wang

Honghong Wang is a scholar working on Infectious Diseases, Epidemiology, General Health Professions, Clinical Psychology and Public Health, Environmental and Occupational Health, having authored 168 papers that have together received 3.3k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (53 papers), HIV, Drug Use, Sexual Risk (29 papers), Adolescent Sexual and Reproductive Health (15 papers), HIV-related health complications and treatments (15 papers), HIV Research and Treatment (14 papers), HIV/AIDS drug development and treatment (14 papers), Healthcare professionals’ stress and burnout (8 papers) and Maternal Mental Health During Pregnancy and Postpartum (8 papers). The work is most often cited by research in Research and Theory (96 citations), Neurology (457 citations), Infectious Diseases (895 citations), Virology (177 citations) and Leadership and Management (40 citations). Honghong Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ann B. Williams, Xianhong Li, Guoping He, Kristopher Fennie, Yang Luo, Xianhong Li, Jane Burgess, Xueling Xiao, Peijing Rong and Jian Kong. Their work appears in journals such as Journal of the Association of Nurses in AIDS Care, International Journal of Nursing Sciences, BMJ Open, Journal of Advanced Nursing and Nursing and Health Sciences.

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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