Huawei Wang

2.3k citations
96 papers · 1.6k · h-index 22

Impact in

Papers in

    • Mitochondrial Function and Pathology 7
    • Bacterial biofilms and quorum sensing 6
    • RNA modifications and cancer 4
    • Cancer-related molecular mechanisms research 5

Huawei Wang

85 papers receiving 1.6k citations

Peers

Huawei Wang
Comparison fields: 5 of 148
  • Biological Psychiatry 44
  • Cancer Research 182
  • Molecular Biology 796
  • Obstetrics and Gynecology 66
  • Genetics 215
Replace Daniel J. Antoine with:
Daniel J. Antoine United Kingdom
Jun Zhu China
Fabio Rosa Italy
Lan‐Juan Zhao China
Anthony Cerami United States
Haruo Takeshita Japan
Fei‐Yan Deng China
Yoshiyuki Kojima Japan
Sergejs Berdnikovs United States
S. Ansar Ahmed United States
Huawei Wang relative to Daniel J. Antoine United Kingdom Daniel J. Antoine's profile →
Citations per field
00.5×4.7×
Daniel J. Antoine · 1×
Citations per year

Countries citing papers authored by Huawei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009181
2 202096
3 201993
4 201787
5 201768
6 201565
7 201863
8 201453
9 202352
10 200850
11 202150
12 200746
13 201645
14 201939
15 201937
16 201637
17 202030
18 201728
19 202027
20 201823

About Huawei Wang

Huawei Wang is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Infectious Diseases and Surgery, having authored 96 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Bacterial biofilms and quorum sensing (6 papers), Reproductive Biology and Fertility (5 papers), Ovarian function and disorders (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Autophagy in Disease and Therapy (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). The work is most often cited by research in Biological Psychiatry (44 citations), Cancer Research (182 citations), Molecular Biology (796 citations), Obstetrics and Gynecology (66 citations) and Genetics (215 citations). Huawei Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ya‐Ping Zhang, Qing‐Peng Kong, Yong‐Gang Yao, Huhu Wang, Kunhua Wang, Xinglian Xu, Xiaofeng Wang, Yu Xu, Li Tang and Guanghong Zhou. Their work appears in journals such as Cancer Research, LWT, Medicine, Scientific Reports and Journal of Hazardous Materials.

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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