Yeong-Hsiang Cheng

1.9k total citations
78 papers, 1.5k citations indexed

About

Yeong-Hsiang Cheng is a scholar working on Animal Science and Zoology, Molecular Biology and Plant Science. According to data from OpenAlex, Yeong-Hsiang Cheng has authored 78 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Animal Science and Zoology, 19 papers in Molecular Biology and 17 papers in Plant Science. Recurrent topics in Yeong-Hsiang Cheng's work include Animal Nutrition and Physiology (28 papers), Mycotoxins in Agriculture and Food (9 papers) and Meat and Animal Product Quality (7 papers). Yeong-Hsiang Cheng is often cited by papers focused on Animal Nutrition and Physiology (28 papers), Mycotoxins in Agriculture and Food (9 papers) and Meat and Animal Product Quality (7 papers). Yeong-Hsiang Cheng collaborates with scholars based in Taiwan, Poland and China. Yeong-Hsiang Cheng's co-authors include Yu‐Hsiang Yu, Felix Shih‐Hsiang Hsiao, Chiu-Ming Wen, Andrzej Dybus, Ching‐Feng Weng, Der-Nan Lee, Bao‐Ji Chen, Wei‐Jung Chen, Kuo‐Feng Hua and Victor Fei Pang and has published in prestigious journals such as Nucleic Acids Research, International Journal of Molecular Sciences and Journal of Dairy Science.

In The Last Decade

Yeong-Hsiang Cheng

76 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yeong-Hsiang Cheng Taiwan 23 553 422 329 248 198 78 1.5k
Sumei Yan China 21 622 1.1× 397 0.9× 257 0.8× 189 0.8× 131 0.7× 104 1.4k
Binlin Shi China 22 678 1.2× 389 0.9× 273 0.8× 202 0.8× 141 0.7× 102 1.4k
Shuangshuang Guo China 21 821 1.5× 472 1.1× 207 0.6× 305 1.2× 111 0.6× 52 1.5k
Yali Li China 22 463 0.8× 418 1.0× 168 0.5× 266 1.1× 98 0.5× 75 1.2k
Shourong Shi China 24 990 1.8× 396 0.9× 286 0.9× 257 1.0× 74 0.4× 64 1.7k
Philip Thacker Canada 19 560 1.0× 354 0.8× 163 0.5× 245 1.0× 152 0.8× 42 1.2k
Jiashun Chen China 21 403 0.7× 613 1.5× 171 0.5× 204 0.8× 102 0.5× 58 1.3k
Imran Rashid Rajput China 21 490 0.9× 376 0.9× 253 0.8× 322 1.3× 134 0.7× 38 1.2k
Fugui Yin China 23 805 1.5× 414 1.0× 212 0.6× 289 1.2× 131 0.7× 32 1.4k
Baoli Sun China 24 570 1.0× 371 0.9× 335 1.0× 162 0.7× 141 0.7× 106 1.6k

Countries citing papers authored by Yeong-Hsiang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yeong-Hsiang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeong-Hsiang 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 Yeong-Hsiang Cheng. The network helps show where Yeong-Hsiang Cheng may publish in the future.

Co-authorship network of co-authors of Yeong-Hsiang Cheng

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

All Works

20 of 20 papers shown
1.
Pandit, Chetan, Yu‐Hsiang Yu, Wei‐Jung Chen, et al.. (2025). The Impact of Fermented Gamma-Aminobutyric Acid on Poultry Growth Performance Through Insulin-like Growth Factor-1 Activation. Fermentation. 11(2). 84–84. 2 indexed citations
2.
Yu, Yu‐Hsiang, et al.. (2024). Impact of Bacillus licheniformis-Fermented Products on Growth and Productivity in Heat-Stressed Laying Ducks. Animals. 14(8). 1164–1164. 1 indexed citations
3.
Dybus, Andrzej, et al.. (2023). Calcium/Calmodulin-Dependent Serine Protein Kinase (CASK) Gene Polymorphisms in Pigeons. Animals. 13(13). 2070–2070. 1 indexed citations
4.
5.
Zaborski, Daniel, et al.. (2019). The effect of polymorphism in the <i>FADS2</i> gene on the fatty acid composition of bovine milk. Archives animal breeding/Archiv für Tierzucht. 62(2). 547–555. 16 indexed citations
6.
Cheng, Yeong-Hsiang, et al.. (2019). Prevalence of mycotoxins in feed and feed ingredients between 2015 and 2017 in Taiwan. Environmental Science and Pollution Research. 26(23). 23798–23806. 17 indexed citations
7.
Su, Liwen, et al.. (2018). Optimization of Mixed Solid-state Fermentation of Soybean Meal by Lactobacillus Species and Clostridium butyricum. Polish Journal of Microbiology. 67(3). 297–305. 51 indexed citations
8.
Hsiao, Felix Shih‐Hsiang, et al.. (2018). Effect of different vitamin D3 metabolites on intestinal calcium homeostasis-related gene expression in broiler chickens. Revista Brasileira de Zootecnia. 47(0). 11 indexed citations
9.
Cheng, Yeong-Hsiang, et al.. (2018). Effect of <i>Cordyceps militaris</i> Hot Water Extract on Immunomodulationassociated Gene Expression in Broilers, <i>Gallus gallus</i>. The Journal of Poultry Science. 56(2). 128–139. 15 indexed citations
10.
Cheng, Yeong-Hsiang, et al.. (2015). Bupivacaine induces apoptosis through caspase-dependent and -independent pathways in canine mammary tumor cells. Research in Veterinary Science. 100. 232–238. 1 indexed citations
11.
Cheng, Yeong-Hsiang, et al.. (2012). Mek1 stabilizes Hop1-Thr318 phosphorylation to promote interhomolog recombination and checkpoint responses during yeast meiosis. Nucleic Acids Research. 40(22). 11416–11427. 44 indexed citations
12.
Qu, Hongxia, et al.. (2011). One Alpha-hydroxycholecalciferol Improves Growth Performance, Tibia Quality, and Meat Color of Broilers Fed Calcium- and Phosphorus-Deficient Diets. Asian-Australasian Journal of Animal Sciences. 25(2). 267–271. 15 indexed citations
13.
Lee, Der-Nan, et al.. (2008). Feed Deprivation and Re-feeding on Alterations of Proteases in Tilapia Oreochromis mossambicus. Zoological studies. 47(2). 207–214. 36 indexed citations
14.
Dybus, Andrzej, et al.. (2008). DNA polymorphism of the α4-globin gene in domestic pigeon.. Animal Science Papers and Reports. 26(3). 219–226. 3 indexed citations
15.
16.
Chiou, Ming‐Tang, et al.. (2007). Effects of fermentation products ofGanoderma lucidumon growth performance and immunocompetence in weanling pigs. Archives of Animal Nutrition. 62(1). 22–32. 13 indexed citations
17.
Cheng, Yeong-Hsiang, Tzong‐Fu Kuo, Der-Nan Lee, & Ching‐Feng Weng. (2006). Sex Identification of the Black-faced Spoonbill (Platalea minor). Zoological studies. 45(1). 104–113. 16 indexed citations
18.
Yang, Chengjian, et al.. (2004). Fermentation Acids, Aerobic Fungal Growth, and Intake of Napiergrass Ensiled with Nonfiber Carbohydrates. Journal of Dairy Science. 87(3). 630–636. 21 indexed citations
19.
Cheng, Yeong-Hsiang, et al.. (2003). Dietary Glutamine Supplementation Enhances Weaned Pigs Mitogen-Induced Lymphocyte Proliferation. Asian-Australasian Journal of Animal Sciences. 16(8). 1182–1187. 10 indexed citations
20.
Cheng, Yeong-Hsiang, Jesse P. Goff, & R.L. Horst. (1998). Restoring normal blood phosphorus concentrations in hypophosphatemic cattle with sodium phosphate. Veterinary medicine. 93(4). 383–385. 24 indexed citations

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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