He Wang

1.8k citations
67 papers · 1.3k · h-index 20

Impact in

Papers in

    • Cervical Cancer and HPV Research 10
    • Hepatitis B Virus Studies 2
    • Fungal Infections and Studies 2
    • Inflammasome and immune disorders 2

He Wang

64 papers receiving 1.3k citations

Peers

He Wang
Comparison fields: 5 of 114
  • Nephrology 144
  • Microbiology 78
  • Epidemiology 294
  • Transplantation 19
  • Cancer Research 106
Replace Yaseelan Palarasah with:
Yaseelan Palarasah Denmark
Kolbjørn Högåsen Norway
Monica Falleni Italy
Quinten Remijsen Belgium
Estelle Seillès France
Mark E. Seamone Canada
Masaki Yamamoto Japan
Charles R. Steinman United States
Takuma Fujii Japan
Eskandar Kamali‐Sarvestani Iran
He Wang relative to Yaseelan Palarasah Denmark Yaseelan Palarasah's profile →
Citations per field
00.5×1.5×2.2×
Yaseelan Palarasah · 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 2019230
2 2018140
3
Elevated cleaved caspase-3 is associated with shortened overall survival in several cancer types.
201483
4 201981
5 200971
6 201354
7 200650
8 202342
9 201539
10 201835
11 201533
12 201829
13
Lin28B is a novel prognostic marker in gastric adenocarcinoma.
201429
14 202326
15
Phospho-histone H2AX is a diagnostic and prognostic marker for epithelial ovarian cancer.
201525
16 201223
17 199522
18 200722
19 201820
20 202319

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 1.3k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (10 papers), Antifungal resistance and susceptibility (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Hepatitis B Virus Studies (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Fungal Infections and Studies (2 papers), Inflammasome and immune disorders (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Nephrology (144 citations), Microbiology (78 citations), Epidemiology (294 citations), Transplantation (19 citations) and Cancer Research (106 citations). He Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lin An, Wei Xia, Manli Wang, Peige Song, Xinlei Chang, Shanling Liu, Xin Jin, Xia‐Nan Wang, Diwei Zheng and Xian‐Zheng Zhang. Their work appears in journals such as Infection and Drug Resistance, BMC Cancer, Frontiers in Pharmacology, BMC Microbiology and Nano Letters.

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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