Ying-Nan Wang

3.1k total citations · 3 hit papers
6 papers, 1.8k citations indexed

About

Ying-Nan Wang is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Ying-Nan Wang has authored 6 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Ying-Nan Wang's work include Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Ying-Nan Wang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Ying-Nan Wang collaborates with scholars based in China and Hong Kong. Ying-Nan Wang's 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 and has published in prestigious journals such as Molecular Cancer, Theranostics and JAMA Oncology.

In The Last Decade

Ying-Nan Wang

6 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Province

2020 1.0k citations Kui Liu, Yan Deng et al. Chinese Medical Journal profile →
LncRNA LINRIS stabilizes IGF2BP2 and promotes the aerobic glycolysis in colorectal cancer

2019 374 citations Yun Wang, Jia-Huan Lu et al. Molecular Cancer profile →
Evaluation of POLE and POLD1 Mutations as Biomarkers for Immunotherapy Outcomes Across Multiple Cancer Types

2019 280 citations Feng Wang, Qi Zhao et al. JAMA Oncology profile →

Peers

Ying-Nan Wang

ID

NEURO

ONCOL

MB

CR

Baoguang Hu China

Weidong Hu China

Yan Ding China

Mohammad H. Hussein Egypt

Sufang Tian China

Hong Yu China

Zhiping Qian China

Ruiying Zheng China

Rami M. Elshazli Egypt

Baoguang Hu China

Ying-Nan Wang

938 ×1.1

ID

493 ×0.9

NEURO

386 ×0.8

ONCOL

665 ×1.4

MB

485 ×1.1

CR

Citations per year, relative to Ying-Nan Wang Ying-Nan Wang (= 1×) peers Baoguang Hu

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

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Liu, Kui, Yan Deng, Wei Liu, et al.. (2020). Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Province. Chinese Medical Journal. 133(9). 1025–1031. 1040 indexed citations breakdown →

2.

Wang, Yun, Jia-Huan Lu, Qi-Nian Wu, et al.. (2019). LncRNA LINRIS stabilizes IGF2BP2 and promotes the aerobic glycolysis in colorectal cancer. Molecular Cancer. 18(1). 174–174. 374 indexed citations breakdown →

3.

Wu, Hao‐Xiang, et al.. (2019). Alteration in TET1 as potential biomarker for immune checkpoint blockade in multiple cancers. Journal for ImmunoTherapy of Cancer. 7(1). 264–264. 68 indexed citations

4.

Wang, Zixian, Hao‐Xiang Wu, Li Xie, et al.. (2019). Correlation of Milestone Restricted Mean Survival Time Ratio With Overall Survival Hazard Ratio in Randomized Clinical Trials of Immune Checkpoint Inhibitors. JAMA Network Open. 2(5). e193433–e193433. 12 indexed citations

5.

Wang, Feng, Qi Zhao, Ying-Nan Wang, et al.. (2019). Evaluation of POLE and POLD1 Mutations as Biomarkers for Immunotherapy Outcomes Across Multiple Cancer Types. JAMA Oncology. 5(10). 1504–1504. 280 indexed citations breakdown →

6.

Lu, Yun-Xin, Qi-Nian Wu, Dong-liang Chen, et al.. (2018). Pharmacological Ascorbate Suppresses Growth of Gastric Cancer Cells with GLUT1 Overexpression and Enhances the Efficacy of Oxaliplatin Through Redox Modulation. Theranostics. 8(5). 1312–1326. 51 indexed citations

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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