Wen‐Ling Shih

74 total papers · 1.5k total citations
63 papers, 1.2k citations indexed

About

Wen‐Ling Shih is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Wen‐Ling Shih has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Genetics and 9 papers in Infectious Diseases. Recurrent topics in Wen‐Ling Shih's work include Natural Antidiabetic Agents Studies (9 papers), Virus-based gene therapy research (8 papers) and Natural product bioactivities and synthesis (6 papers). Wen‐Ling Shih is often cited by papers focused on Natural Antidiabetic Agents Studies (9 papers), Virus-based gene therapy research (8 papers) and Natural product bioactivities and synthesis (6 papers). Wen‐Ling Shih collaborates with scholars based in Taiwan, United States and Czechia. Wen‐Ling Shih's co-authors include Ping‐Yuan Lin, Hung‐Jen Liu, Jeng‐Woei Lee, Ming‐Huei Liao, Ching‐Dong Chang, Shin-Lian Doong, Shuang‐En Chuang, Min‐Liang Kuo, Ann‐Lii Cheng and Hsue‐Yin Hsu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Wen‐Ling Shih

61 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Wen‐Ling Shih 568 334 206 199 146 63 1.2k
Julio Reyes‐Leyva 546 1.0× 537 1.6× 225 1.1× 191 1.0× 123 0.8× 102 1.5k
Lingbao Kong 518 0.9× 388 1.2× 111 0.5× 421 2.1× 59 0.4× 52 1.5k
Yanhong Zhang 618 1.1× 313 0.9× 85 0.4× 128 0.6× 82 0.6× 66 1.3k
Yongbo Yang 771 1.4× 153 0.5× 199 1.0× 325 1.6× 143 1.0× 70 1.4k
Yuebang Yin 379 0.7× 234 0.7× 186 0.9× 390 2.0× 266 1.8× 40 1.3k
Yu Li 431 0.8× 339 1.0× 51 0.2× 171 0.9× 111 0.8× 66 1.2k
Xingli Fu 548 1.0× 209 0.6× 111 0.5× 170 0.9× 195 1.3× 51 1.2k
Xiaomin Yu 659 1.2× 193 0.6× 263 1.3× 359 1.8× 158 1.1× 51 1.3k
Ningning Liu 501 0.9× 181 0.5× 66 0.3× 103 0.5× 115 0.8× 59 1.0k
M. H. Salaman 252 0.4× 170 0.5× 222 1.1× 101 0.5× 128 0.9× 45 1.2k

Countries citing papers authored by Wen‐Ling Shih

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Ling Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Ling Shih. 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 Wen‐Ling Shih. The network helps show where Wen‐Ling Shih may publish in the future.

Co-authorship network of co-authors of Wen‐Ling Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Ling Shih. A scholar is included among the top collaborators of Wen‐Ling Shih 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 Wen‐Ling Shih. Wen‐Ling Shih 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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