Hao Wang

11.1k citations
593 papers · 6.9k · h-index 44

Impact in

    • MicroRNA in disease regulation
  • Oncology top 2%
    • Pancreatic and Hepatic Oncology Research
    • Peptidase Inhibition and Analysis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • RNA modifications and cancer 14
    • Pancreatic and Hepatic Oncology Research 24
    • Peptidase Inhibition and Analysis 14
    • Cancer Immunotherapy and Biomarkers 10

Hao Wang

366 papers receiving 6.8k citations

Peers

Hao Wang
Comparison fields: 5 of 178
  • Cancer Research 681
  • Oncology 1.2k
  • Molecular Biology 2.0k
  • Surgery 1.2k
  • Pulmonary and Respiratory Medicine 826
Replace Dong Chen with:
Dong Chen China
Song Chen China
Ling Zheng China
Masanori Fukushima Japan
Feng Cao China
Fang Li China
Ping Huang China
Wei Xiao China
Norbert Frey Germany
Gang Chen China
Hao Wang relative to Dong Chen China Dong Chen's profile →
Citations per field
00.5×1.6×
Dong Chen · 1×
Citations per year

Countries citing papers authored by Hao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 593 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005415
2 2019196
3 2015144
4 2003135
5 2015104
6 2018102
7 201096
8 202192
9 200588
10 202087
11 201985
12 201377
13 201871
14 202270
15 201370
16 202170
17 200766
18 201566
19 201666
20 200966

About Hao Wang

Hao Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 593 papers that have together received 6.9k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (24 papers), Esophageal Cancer Research and Treatment (23 papers), Cancer Genomics and Diagnostics (15 papers), RNA modifications and cancer (14 papers), Peptidase Inhibition and Analysis (14 papers), Ferroptosis and cancer prognosis (12 papers), Cancer Immunotherapy and Biomarkers (10 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Cancer Research (681 citations), Oncology (1.2k citations), Molecular Biology (2.0k citations), Surgery (1.2k citations) and Pulmonary and Respiratory Medicine (826 citations). Hao Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qingyu Wu, Louis M. Weiner, Lijie Tan, Melvyn Goldberg, Adam C. Berger, Walter J. Scott, Jeffrey M. Farma, Jonathan D. Cheng, Gary M. Freedman and Wei Song. Their work appears in journals such as Journal of Clinical Oncology, Advanced Functional Materials, Advanced Science, Frontiers in Immunology and Journal of the American Chemical Society.

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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