Yu Wang

9.6k citations
247 papers · 5.9k indexed · 2 hit papers · h-index 37

Impact in

Papers in

    • Immunotherapy and Immune Responses 34
    • Immune Cell Function and Interaction 16
    • Immune cells in cancer 15
    • MicroRNA in disease regulation 36
    • Cancer-related molecular mechanisms research 14

Yu Wang

232 papers receiving 5.8k citations

Hit Papers

Tuberculosis prevalence in China, 1990–2010; a longitudinal analysis of national survey data 2014 · 407 citations
4072012202620162021100200300400

Peers

Yu Wang
Comparison fields: 5 of 144
  • Cancer Research 1.2k
  • Infectious Diseases 1.3k
  • Immunology 1.0k
  • Epidemiology 1.6k
  • Hepatology 323
Replace Sharon Amit with:
Sharon Amit Israel
Hsiao‐Sheng Liu Taiwan
Ping Chen China
Ailong Huang China
Li Zhou China
Noam Harpaz United States
Rong Li China
Hong Ling China
Wenqing Gao China
Susan L. Fink United States
Yu Wang relative to Sharon Amit Israel Sharon Amit's profile →
Citations per field
00.5×
Sharon Amit · 1×
Citations per year

Countries citing papers authored by Yu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20252
4 20250
5 20243
6 20243
7 20242
8 20235
9 20231
10 20231
11 202317
12 20225
13 20211
14 202021
15 201920
16 201977
17 201833
18 201751
19 201326
20 201029

About Yu Wang

Yu Wang is a scholar working on Immunology, Cancer Research, Epidemiology, Molecular Biology and Oncology, having authored 247 papers that have together received 5.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (36 papers), Immunotherapy and Immune Responses (34 papers), Hepatitis B Virus Studies (17 papers), RNA Interference and Gene Delivery (16 papers), Immune Cell Function and Interaction (16 papers), Immune cells in cancer (15 papers), Cancer-related molecular mechanisms research (14 papers) and Epigenetics and DNA Methylation (14 papers). The work is most often cited by research in Cancer Research (1.2k citations), Infectious Diseases (1.3k citations), Immunology (1.0k citations), Epidemiology (1.6k citations) and Hepatology (323 citations). Yu Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lixia Wang, Yanlin Zhao, Daniel P. Chin, Shengfen Wang, Guangxue He, You‐Wen He, Hongtao Zhang, Jing Guo, Yu Pang and Qiang Li. Their work appears in journals such as PLoS ONE, Frontiers in Pharmacology, Blood, Scientific Reports and Frontiers in Immunology.

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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