He Wang

2.2k citations
95 papers · 1.5k · h-index 24

Impact in

Papers in

    • Genomic variations and chromosomal abnormalities 17
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 6
    • Genetics and Neurodevelopmental Disorders 4
    • Cell death mechanisms and regulation 6
    • Congenital heart defects research 5

He Wang

89 papers receiving 1.5k citations

Peers

He Wang
Comparison fields: 5 of 125
  • Pediatrics, Perinatology and Child Health 358
  • Genetics 294
  • Molecular Biology 691
  • Cancer Research 137
  • Immunology 184
Replace Michael B. Vaughn with:
Michael B. Vaughn United States
François Canonne‐Hergaux France
Hongping Wu China
Rohan Lourie Australia
Robert W. Grady United States
Roberto P. Meiss Argentina
Filipa Carvalho Portugal
Liza Konnikova United States
Linda M. Kalikin United States
Lina Shao United States
He Wang relative to Michael B. Vaughn United States Michael B. Vaughn's profile →
Citations per field
00.5×3.0×
Michael B. Vaughn · 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 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011109
2 201681
3 201877
4
Mixed lineage kinase domain-like protein is a prognostic biomarker for cervical squamous cell cancer.
201564
5 201662
6 200758
7 200951
8 201150
9 202048
10 201546
11 200644
12 201943
13 201842
14 201940
15 201239
16 201737
17 201432
18 200632
19 200532
20 201430

About He Wang

He Wang is a scholar working on Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, Oncology and Public Health, Environmental and Occupational Health, having authored 95 papers that have together received 1.5k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (30 papers), Genomic variations and chromosomal abnormalities (17 papers), Fetal and Pediatric Neurological Disorders (7 papers), Cell death mechanisms and regulation (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Congenital heart defects research (5 papers), Assisted Reproductive Technology and Twin Pregnancy (5 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (358 citations), Genetics (294 citations), Molecular Biology (691 citations), Cancer Research (137 citations) and Immunology (184 citations). He Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shanling Liu, Hong Liao, Ting Hu, Li Dai, Jun Zhu, Zhu Zhang, Xinlian Chen, Meng Mao, Ling Mei and Juan Liang. Their work appears in journals such as Prenatal Diagnosis, Diagnostic Pathology, Frontiers in Genetics, American Journal of Obstetrics and Gynecology and The Journal of Maternal-Fetal & Neonatal Medicine.

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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