Hong Wang

9.8k citations
264 papers · 5.9k indexed · 3 hit papers · h-index 37

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Virology top 2%

Papers in

Hong Wang

247 papers receiving 5.8k citations

Hit Papers

Immunotherapy: a promising approach for glioma treatment 2023 · 118 citations
1182016202620192022100200300400500

Peers

Hong Wang
Comparison fields: 5 of 162
  • Cancer Research 1.0k
  • Virology 271
  • Molecular Biology 3.1k
  • Immunology 759
  • Reproductive Medicine 237
Replace Hua Li with:
Hua Li China
Robert G.J. Vries Netherlands
Tong Zhou China
Tohru Kimura Japan
Hong Ma China
Min Fang China
Jin Zhang China
Hua Zhu United States
Takashi Kishimoto Japan
Joseph Alroy United States
Hong Wang relative to Hua Li China Hua Li's profile →
Citations per field
00.5×1.5×
Hua Li · 1×
Citations per year

Countries citing papers authored by Hong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20240
5 20246
6 20241
7 20241
8 202311
9 20238
10 20231
11 20224
12
Essential roles of exosome and circRNA_101093 on ferroptosis desensitization in lung adenocarcinoma
Hit paper breakdown →
2022132
13 20211
14 202112
15 201838
16 201810
17
Vibration Finite Element Analysis of SC10 Dry-type Transformer Core
20140
18 20116
19 200658
20
Adoptive transfer of V beta 2-deleting activity with host cells from mice implanted with C4 preneoplastic hyperplastic alveolar nodules.
19927

About Hong Wang

Hong Wang is a scholar working on Cancer Research, Virology, Immunology, Oncology and Molecular Biology, having authored 264 papers that have together received 5.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (28 papers), RNA modifications and cancer (24 papers), Epigenetics and DNA Methylation (24 papers), RNA Research and Splicing (14 papers), Cancer Immunotherapy and Biomarkers (14 papers), CRISPR and Genetic Engineering (13 papers), HIV Research and Treatment (13 papers) and Advanced MEMS and NEMS Technologies (13 papers). The work is most often cited by research in Cancer Research (1.0k citations), Virology (271 citations), Molecular Biology (3.1k citations), Immunology (759 citations) and Reproductive Medicine (237 citations). Hong Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guifu Ding, Shaorong Gao, Chong Li, Xiaoyu Liu, Wenqiang Liu, Chenfei Wang, Xiaochen Kou, Yawei Gao, Yanhong Zhao and Jiayu Chen. Their work appears in journals such as Journal of Virology, Journal of Clinical Oncology, Frontiers in Oncology, Frontiers in Immunology and Oncotarget.

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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