Honghong Wang

155 papers receiving 3.3k citations

Honghong Wang's Hit Papers

Single-cell RNA sequencing and immune microenvironment analysis reveal PLOD2-driven malignant transformation in cervical cancer 2025 · 31 citations
310Years since publication102030

Peers

Honghong Wang
Comparison fields: 5 of 175
  • Research and Theory 77
  • Neurology 459
  • Infectious Diseases 728
  • Virology 98
  • General Health Professions 415
Replace Chia‐Chin Lin with:
Chia‐Chin Lin Taiwan
Michael J. Peluso United States
Jennifer Evans United Kingdom
Kyung Hee Lee South Korea
Ju Hee Kim South Korea
Björn Sjöström Sweden
Yan Jin China
Steven J. Verhulst United States
D. Scott Thompson United States
Guillaume Fond France
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 2015287
2 2016216
3 2019176
4 2012167
5 200893
6 201286
7 200385
8 201678
9 201176
10 201568
11 200767
12 201064
13 201563
14 201062
15 201359
16 200657
17 201455
18 202052
19 201249
20 201245

About Honghong Wang

Honghong Wang is a scholar working on Infectious Diseases, General Health Professions, Epidemiology, Emergency Medicine and Plant Science, having authored 168 papers that have together received 3.4k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (39 papers), HIV, Drug Use, Sexual Risk (14 papers), HIV-related health complications and treatments (11 papers), Adolescent Sexual and Reproductive Health (9 papers), HIV/AIDS drug development and treatment (8 papers), HIV Research and Treatment (8 papers), Nematode management and characterization studies (6 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Research and Theory (77 citations), Neurology (459 citations), Infectious Diseases (728 citations), Virology (98 citations) and General Health Professions (415 citations). Honghong Wang has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Ann B. Williams, Xianhong Li, Kristopher Fennie, Guoping He, Yang Luo, Xianhong Li, Xueling Xiao, Bing Zhu, Jian Kong and Jun Liu. Their work appears in journals such as Journal of the Association of Nurses in AIDS Care, International Journal of Nursing Sciences, BMJ Open, PLoS ONE 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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