Teng Wang

29 total papers · 566 total citations
26 papers, 394 citations indexed

About

Teng Wang is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Teng Wang has authored 26 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Cancer Research and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Teng Wang's work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (6 papers). Teng Wang is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (6 papers). Teng Wang collaborates with scholars based in China, United States and South Korea. Teng Wang's co-authors include Tingxun Lu, Kuan Ning, Dong Hua, Rohan Maddamsetti, Shangying Wang, Yi Yao, Lingchong You, Andrea Weiss, Yuanchi Ha and Shuang Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Teng Wang

25 papers receiving 393 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Teng Wang 245 134 44 42 33 26 394
Hen‐Wei Wei 223 0.9× 127 0.9× 61 1.4× 40 1.0× 23 0.7× 20 446
Yinping Wang 204 0.8× 55 0.4× 34 0.8× 45 1.1× 7 0.2× 33 420
Shigeru Sugaya 271 1.1× 72 0.5× 80 1.8× 65 1.5× 18 0.5× 33 400
Xin He 191 0.8× 85 0.6× 65 1.5× 17 0.4× 7 0.2× 34 428
Cong Liu 279 1.1× 184 1.4× 65 1.5× 11 0.3× 9 0.3× 24 437
Anna Olsson 211 0.9× 35 0.3× 46 1.0× 53 1.3× 16 0.5× 14 354
Simon Lagies 210 0.9× 56 0.4× 80 1.8× 23 0.5× 11 0.3× 26 386
Jiaqi Yang 230 0.9× 128 1.0× 75 1.7× 18 0.4× 13 0.4× 22 368
Carolina Moretto Carnielli 208 0.8× 70 0.5× 60 1.4× 35 0.8× 5 0.2× 23 375
Aminul Islam 238 1.0× 65 0.5× 30 0.7× 45 1.1× 22 0.7× 22 396

Countries citing papers authored by Teng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Teng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Wang

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

All Works

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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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