Huan Wang

6.5k total citations
253 papers, 4.0k citations indexed

About

Huan Wang is a scholar working on Cancer Research, Molecular Biology and Epidemiology. According to data from OpenAlex, Huan Wang has authored 253 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cancer Research, 53 papers in Molecular Biology and 48 papers in Epidemiology. Recurrent topics in Huan Wang's work include Cancer-related molecular mechanisms research (28 papers), MicroRNA in disease regulation (18 papers) and Liver Disease Diagnosis and Treatment (17 papers). Huan Wang is often cited by papers focused on Cancer-related molecular mechanisms research (28 papers), MicroRNA in disease regulation (18 papers) and Liver Disease Diagnosis and Treatment (17 papers). Huan Wang collaborates with scholars based in China, United States and United Kingdom. Huan Wang's co-authors include Xiaoyun Mao, Jun S. Liu, In‐Cheol Jang, Nam‐Hai Chua, Michelle J. Kean, Jun Xu, Pil Joong Chung, William C. Olivero, David Wang and Giuseppe Lanzino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Clinical Oncology.

In The Last Decade

Huan Wang

229 papers receiving 3.9k citations

Peers

Huan Wang
Comparison fields: 5 of 170
  • Molecular Biology 1.3k
  • Cancer Research 833
  • Epidemiology 596
  • Surgery 450
  • Pulmonary and Respiratory Medicine 407
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Olga Golubnitschaja Germany View profile →
Citations per field, relative to Huan Wang
Huan Wang · 1×
Citations per year, relative to Huan Wang
Huan Wang · 1×

Countries citing papers authored by Huan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Huan Wang. A scholar is included among the top collaborators of Huan Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huan Wang. Huan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 0
4 1
5 2
6 0
7 0
8 9
9 1
10 14
11 8
12 10
13 0
14 21
15
ZGRF1 Is Associated with Poor Prognosis in Triple-Negative Breast Cancer and Promotes Cancer Stemness Based on Bioinformatics
1
16 15
17
MiR-153-5p Enhances the Sensitivity of Triple-Negative Breast Cancer Cells to Paclitaxel by Inducing G2M Phase Arrest
1
18
The Down-Regulation of lncRNA PCAT18 Promotes the Progression of Gastric Cancer via MiR-107/PTEN/PI3K/AKT Signaling Pathway
3
19 0
20
ANLN functions as a key candidate gene in cervical cancer as determined by integrated bioinformatic analysis
7

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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