Hsueh‐Ling Cheng

42 total papers · 916 total citations
37 papers, 717 citations indexed

About

Hsueh‐Ling Cheng is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Hsueh‐Ling Cheng has authored 37 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Genetics. Recurrent topics in Hsueh‐Ling Cheng's work include Natural Antidiabetic Agents Studies (12 papers), Biofuel production and bioconversion (8 papers) and Advances in Cucurbitaceae Research (8 papers). Hsueh‐Ling Cheng is often cited by papers focused on Natural Antidiabetic Agents Studies (12 papers), Biofuel production and bioconversion (8 papers) and Advances in Cucurbitaceae Research (8 papers). Hsueh‐Ling Cheng collaborates with scholars based in Taiwan, Indonesia and United States. Hsueh‐Ling Cheng's co-authors include Chi‐I Chang, Yun‐Wen Liao, Chen-Hsing Chou, Yo-Chia Chen, Chiy‐Rong Chen, Charles F. Louis, Wen‐Ling Shih, Ming‐Huei Liao, Hung‐Jen Liu and Li‐Chu Tsai and has published in prestigious journals such as Biochemistry, Bioresource Technology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Hsueh‐Ling Cheng

37 papers receiving 689 citations

Author Peers

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

Author Last Decade Papers Cites
Hsueh‐Ling Cheng 308 290 205 114 105 37 717
Koki Fujita 306 1.0× 154 0.5× 105 0.5× 283 2.5× 68 0.6× 49 804
Yo-Chia Chen 313 1.0× 92 0.3× 90 0.4× 178 1.6× 127 1.2× 36 772
Mojca Lunder 399 1.3× 97 0.3× 59 0.3× 70 0.6× 60 0.6× 46 897
Stephen E. Avery 127 0.4× 141 0.5× 238 1.2× 146 1.3× 56 0.5× 20 646
Kozo Hara 263 0.9× 73 0.3× 93 0.5× 191 1.7× 49 0.5× 58 678
Kathrine Bisgaard Christensen 509 1.7× 98 0.3× 60 0.3× 56 0.5× 174 1.7× 23 868
Ki‐Hyo Jang 265 0.9× 110 0.4× 57 0.3× 137 1.2× 141 1.3× 89 804
Keiko Kita 617 2.0× 45 0.2× 88 0.4× 116 1.0× 94 0.9× 47 863
Yusuf Deeni 354 1.1× 54 0.2× 46 0.2× 22 0.2× 200 1.9× 49 784
Sawsan Amara 448 1.5× 69 0.2× 37 0.2× 35 0.3× 51 0.5× 33 907

Countries citing papers authored by Hsueh‐Ling Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Hsueh‐Ling Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsueh‐Ling Cheng

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