Dey‐Chyi Sheu

33 total papers · 763 total citations
30 papers, 589 citations indexed

About

Dey‐Chyi Sheu is a scholar working on Nutrition and Dietetics, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Dey‐Chyi Sheu has authored 30 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Nutrition and Dietetics, 14 papers in Biotechnology and 13 papers in Biomedical Engineering. Recurrent topics in Dey‐Chyi Sheu's work include Microbial Metabolites in Food Biotechnology (15 papers), Enzyme Production and Characterization (13 papers) and Biofuel production and bioconversion (12 papers). Dey‐Chyi Sheu is often cited by papers focused on Microbial Metabolites in Food Biotechnology (15 papers), Enzyme Production and Characterization (13 papers) and Biofuel production and bioconversion (12 papers). Dey‐Chyi Sheu collaborates with scholars based in Taiwan and United States. Dey‐Chyi Sheu's co-authors include Kow‐Jen Duan, Mei‐Ching Yu, C. Will Chen, Hong‐Ru Lin, Tsong‐Rong Yan, Tim‐Mo Chen, Chi‐Tsai Lin, Masao Nomoto, Wen‐Chien Lee and Ko-Shao Chen and has published in prestigious journals such as Bioresource Technology, Journal of Applied Polymer Science and Materials Chemistry and Physics.

In The Last Decade

Dey‐Chyi Sheu

30 papers receiving 566 citations

Author Peers

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

Author						Papers	Cites
Dey‐Chyi Sheu	268	234	230	201	54	30	589
Jianlin Chu	76 0.3×	387 1.7×	103 0.4×	215 1.1×	43 0.8×	44	654
C. A. Wilham	278 1.0×	214 0.9×	306 1.3×	75 0.4×	67 1.2×	20	662
M. Paul Vuillemin	311 1.2×	252 1.1×	322 1.4×	93 0.5×	85 1.6×	32	686
Rupendra Mukerjea	434 1.6×	178 0.8×	368 1.6×	124 0.6×	36 0.7×	27	693
Balwinder Singh Sooch	98 0.4×	213 0.9×	162 0.7×	136 0.7×	49 0.9×	39	566
Xiangsong Chen	161 0.6×	290 1.2×	63 0.3×	213 1.1×	27 0.5×	36	573
Paulina Urrutia	115 0.4×	390 1.7×	150 0.7×	132 0.7×	48 0.9×	17	524
Paloma Santos‐Moriano	152 0.6×	347 1.5×	217 0.9×	116 0.6×	54 1.0×	20	572
Rajni Kaul	61 0.2×	431 1.8×	144 0.6×	162 0.8×	25 0.5×	31	611
P.J. Somers	81 0.3×	307 1.3×	148 0.6×	106 0.5×	114 2.1×	44	593

Countries citing papers authored by Dey‐Chyi Sheu

Since Specialization

Citations

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

Fields of papers citing papers by Dey‐Chyi Sheu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dey‐Chyi Sheu. 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 Dey‐Chyi Sheu. The network helps show where Dey‐Chyi Sheu may publish in the future.

Co-authorship network of co-authors of Dey‐Chyi Sheu

This figure shows the co-authorship network connecting the top 25 collaborators of Dey‐Chyi Sheu. A scholar is included among the top collaborators of Dey‐Chyi Sheu 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 Dey‐Chyi Sheu. Dey‐Chyi Sheu 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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