Ying-Nan Wang

3.1k citations
6 papers · 1.8k indexed · 3 hit papers · h-index 6
Topics
Cancer Immunotherapy and Biomarkers (3 papers)Cancer Genomics and Diagnostics (2 papers)Pancreatic and Hepatic Oncology Research (1 paper)
Partner nations
ChinaHong Kong

In The Last Decade

Ying-Nan Wang

6 papers receiving 1.8k citations

Hit Papers

Clinical characteristics of novel coronavirus cases in te...20192026202120232020201920192505007501000

Peers

Ying-Nan Wang
Comparison fields: 5 of 100
  • Infectious Diseases 866
  • Neurology 524
  • Oncology 505
  • Molecular Biology 464
  • Cancer Research 447
Replace Baoguang Hu with:
Baoguang Hu China
Weidong Hu China
Yan Ding China
Ruiying Zheng China
Mohammad H. Hussein Egypt
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Ying-Nan Wang relative to Baoguang Hu China Baoguang Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ying-Nan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Nan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying-Nan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Nan Wang. A scholar is included among the top collaborators of Ying-Nan 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 Ying-Nan Wang. Ying-Nan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Provincebreakdown →
1040
2
LncRNA LINRIS stabilizes IGF2BP2 and promotes the aerobic glycolysis in colorectal cancerbreakdown →
374
3 68
4 12
5
Evaluation of POLE and POLD1 Mutations as Biomarkers for Immunotherapy Outcomes Across Multiple Cancer Typesbreakdown →
280
6 51

About Ying-Nan Wang

Ying-Nan Wang is a scholar working on Cancer Research, Oncology and Genetics, having authored 6 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Infectious Diseases (866 citations), Neurology (524 citations) and Cancer Research (447 citations). Ying-Nan Wang has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Kui Liu, Huiguo Liu, Wei Xiao, Wei Liu, Meifang Wang, Yan Deng, Rui‐Hua Xu, Qi Zhao, Ying Jin and Zexian Liu. Their work appears in journals such as Molecular Cancer, Theranostics and JAMA Oncology.

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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