Hao Wang

9.5k citations
298 papers · 5.6k indexed · h-index 38

Impact in

    • Epigenetics and DNA Methylation
    • Glycosylation and Glycoproteins Research
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
  • Oncology top 5%

Papers in

    • Glycosylation and Glycoproteins Research 24
    • Epigenetics and DNA Methylation 23
    • Metabolomics and Mass Spectrometry Studies 11

Hao Wang

280 papers receiving 5.5k citations

Peers

Hao Wang
Comparison fields: 5 of 178
  • Molecular Biology 2.0k
  • Oncology 721
  • Immunology 547
  • Aging 43
  • Physiology 633
Replace Tommaso Trenti with:
Tommaso Trenti Italy
Jie Zheng China
Abbas Dehghan Netherlands
Qiong Yang United States
Mi Kyung Kim South Korea
Fahd Al‐Mulla Kuwait
Michael V. Holmes United Kingdom
Carol A. Pollock Australia
Li Y China
Mark S. Segal United States
Hao Wang relative to Tommaso Trenti Italy Tommaso Trenti's profile →
Citations per field
00.5×1.6×
Tommaso Trenti · 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 298 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012436
2 2015300
3 2005202
4 2009137
5 2009109
6 201698
7 200887
8 200386
9 201683
10 201780
11 200774
12 201672
13 201369
14 201869
15 201269
16 200562
17 201460
18 201859
19 201359
20 201850

About Hao Wang

Hao Wang is a scholar working on Molecular Biology, Epidemiology, Oncology, Physiology and Immunology, having authored 298 papers that have together received 5.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (24 papers), Epigenetics and DNA Methylation (23 papers), Galectins and Cancer Biology (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Intracranial Aneurysms: Treatment and Complications (14 papers), Nutritional Studies and Diet (12 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Hepatitis C virus research (11 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Oncology (721 citations), Immunology (547 citations), Aging (43 citations) and Physiology (633 citations). Hao Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Youxin Wang, Wei Wang, Manshu Song, Michael A. Schwarzschild, Xiang Gao, Wing Hong Chan, Siqi Ge, Alberto Ascherio, Robert E. Thurman and Richard Sandstrom. Their work appears in journals such as PLoS ONE, OMICS A Journal of Integrative Biology, International Journal of Environmental Research and Public Health, Frontiers in Immunology and Nutrition & Metabolism.

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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