He Wang

1.7k citations
67 papers · 1.2k · h-index 19

Impact in

Papers in

    • Cervical Cancer and HPV Research 19
    • Hepatitis B Virus Studies 4
    • RNA modifications and cancer 5
    • Epigenetics and DNA Methylation 4

He Wang

63 papers receiving 1.2k citations

Peers

He Wang
Comparison fields: 5 of 117
  • Nephrology 148
  • Microbiology 103
  • Epidemiology 354
  • Cancer Research 144
  • Molecular Biology 564
Replace Christina Wu with:
Christina Wu United States
Monica Falleni Italy
Yaseelan Palarasah Denmark
Kousaku Matsubara Japan
George Daskalopoulos Greece
Peiwen Wu China
Kolbjørn Högåsen Norway
Kazuhiro Tsukamoto Japan
Atsushi Satomura Japan
Estelle Seillès France
He Wang relative to Christina Wu United States Christina Wu's profile →
Citations per field
00.5×3.9×
Christina Wu · 1×
Citations per year

Countries citing papers authored by He Wang

Since Specialization
Citations

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

Fields of papers citing papers by He Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019222
2 2018136
3
Elevated cleaved caspase-3 is associated with shortened overall survival in several cancer types.
201483
4 201979
5 200970
6 201354
7 200650
8 201539
9 202334
10 201834
11 201533
12
Lin28B is a novel prognostic marker in gastric adenocarcinoma.
201429
13 201828
14
Phospho-histone H2AX is a diagnostic and prognostic marker for epithelial ovarian cancer.
201525
15 202324
16 201223
17 200722
18 199522
19 202318
20 202218

About He Wang

He Wang is a scholar working on Epidemiology, Molecular Biology, Oncology, Surgery and Immunology, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (19 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers), Hepatitis B Virus Studies (4 papers), Antifungal resistance and susceptibility (4 papers), Epigenetics and DNA Methylation (4 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Colorectal and Anal Carcinomas (3 papers). The work is most often cited by research in Nephrology (148 citations), Microbiology (103 citations), Epidemiology (354 citations), Cancer Research (144 citations) and Molecular Biology (564 citations). He Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Peige Song, Xinlei Chang, Manli Wang, Wei Xia, Lin An, Shanling Liu, Qian Hu, Yunxia Sun, Xinhua Liu and Xian‐Zheng Zhang. Their work appears in journals such as Infection and Drug Resistance, BMC Cancer, Frontiers in Pharmacology, Poultry Science and Scientific Reports.

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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