Yumin Wang

164 papers receiving 3.5k citations

Yumin Wang's Hit Papers

Circular RNAs function as ceRNAs to regulate and control human cancer progression 2018 · 784 citations
7840+2+5Years since publication250500750

Peers

Yumin Wang
Comparison fields: 5 of 121
  • Cancer Research 940
  • Nuclear Energy and Engineering 10
  • Molecular Biology 1k
  • Artificial Intelligence 483
  • Immunology 243
Replace Wing C. Chan with:
Wing C. Chan United States
Lisheng Lü United States
Liming Yang United States
Francisco Ferro de Beça United States
Ning Yu United States
Sebastian Foersch Germany
Steve Goodison B United States
Xuemei Luo China
Douglas J. Hartman United States
Oliver Wiedow Germany
Yumin Wang relative to Wing C. Chan United States Wing C. Chan's profile →
Citations per field
00.5×1.5×1.9×
Wing C. Chan · 1×
Citations per year

Countries citing papers authored by Yumin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yumin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yumin 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 Yumin Wang Line = papers co-authored together Yumin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Circular RNAs function as ceRNAs to regulate and control human cancer progression
Hit paper breakdown →
2018784
2 2009281
3 2017157
4 2020147
5 2018135
6 2016128
7 2004127
8 2015113
9 2016100
10 201682
11 201476
12 201666
13 201762
14 200552
15 201148
16 202135
17 199631
18 200731
19 201831
20 202431

About Yumin Wang

Yumin Wang is a scholar working on Artificial Intelligence, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Computer Networks and Communications, having authored 180 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cryptography and Data Security (67 papers), Cancer-related molecular mechanisms research (27 papers), Lung Cancer Research Studies (8 papers), Cryptography and Residue Arithmetic (7 papers), Advanced Authentication Protocols Security (6 papers), Pleural and Pulmonary Diseases (5 papers), Circular RNAs in diseases (5 papers) and Coding theory and cryptography (5 papers). The work is most often cited by research in Cancer Research (940 citations), Nuclear Energy and Engineering (10 citations), Molecular Biology (1k citations), Artificial Intelligence (483 citations) and Immunology (243 citations). Yumin Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liaojun Pang, Guiyuan Li, Zhaoyang Zeng, Wei Xiong, Xiaoling Li, Fang Xiong, Fang Wei, Chunmei Fan, Yongzhen Mo and Yong Li. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Applied Mathematics and Computation, Frontiers in Oncology, Journal of Cancer Research and Clinical Oncology and DNA and Cell Biology.

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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