Yeng‐Tseng Wang

1.1k citations
66 papers · 862 · h-index 17

Impact in

Papers in

Yeng‐Tseng Wang

65 papers receiving 850 citations

Peers

Yeng‐Tseng Wang
Comparison fields: 5 of 118
  • Safety Research 56
  • Molecular Biology 397
  • Sensory Systems 25
  • Cell Biology 86
  • Nutrition and Dietetics 66
Replace Nicolas Desbenoît with:
Nicolas Desbenoît France
In‐Kyung Kim South Korea
Chun‐Chi Wang Taiwan
Xuefei Li China
David Bonnel France
Lingyun Dai China
Dipti Gupta United States
Josep Sulé-Suso United Kingdom
Shaolong Zhang China
Giordana Feriotto Italy
Yeng‐Tseng Wang relative to Nicolas Desbenoît France Nicolas Desbenoît's profile →
Citations per field
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Nicolas Desbenoît · 1×
Citations per year

Countries citing papers authored by Yeng‐Tseng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yeng‐Tseng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017118
2 201683
3 201449
4 201539
5 201638
6 201737
7 201530
8 201530
9 201726
10 201724
11 200924
12 201619
13 201018
14 201818
15 201618
16 200818
17 202116
18 201514
19 201713
20 201612

About Yeng‐Tseng Wang

Yeng‐Tseng Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Materials Chemistry and Immunology, having authored 66 papers that have together received 862 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Protein Structure and Dynamics (8 papers), Glycosylation and Glycoproteins Research (7 papers), Protein purification and stability (7 papers), Antibiotic Resistance in Bacteria (4 papers), RNA and protein synthesis mechanisms (4 papers), Neuropeptides and Animal Physiology (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Safety Research (56 citations), Molecular Biology (397 citations), Sensory Systems (25 citations), Cell Biology (86 citations) and Nutrition and Dietetics (66 citations). Yeng‐Tseng Wang has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Yang‐Hsiang Chan, Zhiyuan Su, Tian‐Lu Cheng, Chia‐Cheng Chou, Yu‐Ching Chen, Chih-Hung Chuang, Jeffrey J. P. Tsai, Wen-Wei Lin, Shih-Yu Kuo and Nai‐Wan Hsiao. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Physical Chemistry Chemical Physics, International Journal of Molecular Sciences and PLoS ONE.

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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