Weihua Chang

2.0k total citations
26 papers, 1.4k citations indexed

About

Weihua Chang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Weihua Chang has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Weihua Chang's work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Genetic and phenotypic traits in livestock (4 papers). Weihua Chang is often cited by papers focused on MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Genetic and phenotypic traits in livestock (4 papers). Weihua Chang collaborates with scholars based in China, United States and Taiwan. Weihua Chang's co-authors include Kevin L. Gunderson, Frank J. Steemers, Richard Shen, David Barker, Francisco García‐García, Grace Lee, Jennie Le, Daniel A. Peiffer, Jiangzhen Li and Chad A. Shaw and has published in prestigious journals such as Nature Methods, Biochemical and Biophysical Research Communications and Genome Research.

In The Last Decade

Weihua Chang

24 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
Weihua Chang China 14 698 680 237 223 116 26 1.4k
Anne‐Laure Todeschini France 25 641 0.9× 1.1k 1.7× 371 1.6× 142 0.6× 89 0.8× 41 1.7k
Muhammad Rafiq Pakistan 18 476 0.7× 715 1.1× 185 0.8× 147 0.7× 42 0.4× 70 1.4k
Erik Mullaart Netherlands 26 946 1.4× 860 1.3× 237 1.0× 543 2.4× 65 0.6× 64 2.6k
Yuanwei Zhang China 23 364 0.5× 888 1.3× 139 0.6× 452 2.0× 195 1.7× 85 1.6k
Frans Gerbens Netherlands 13 398 0.6× 938 1.4× 83 0.4× 246 1.1× 114 1.0× 19 1.6k
Maurício Camargo Colombia 20 304 0.4× 591 0.9× 125 0.5× 85 0.4× 104 0.9× 57 1.3k
Cathryn A. Hogarth United States 27 686 1.0× 1.2k 1.8× 114 0.5× 87 0.4× 116 1.0× 51 2.0k
Huabin Zhu China 26 365 0.5× 814 1.2× 78 0.3× 227 1.0× 206 1.8× 97 2.0k
Iúri Drumond Louro Brazil 21 278 0.4× 890 1.3× 125 0.5× 187 0.8× 51 0.4× 103 1.5k
Donia Macartney‐Coxson New Zealand 22 449 0.6× 1.1k 1.7× 70 0.3× 293 1.3× 107 0.9× 40 1.7k

Countries citing papers authored by Weihua Chang

Since Specialization
Citations

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

Fields of papers citing papers by Weihua Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weihua Chang. 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 Weihua Chang. The network helps show where Weihua Chang may publish in the future.

Co-authorship network of co-authors of Weihua Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Chang. A scholar is included among the top collaborators of Weihua Chang 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 Weihua Chang. Weihua Chang 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.
Chen, Binlong, Tingting Zheng, Xue Bai, et al.. (2025). The Metabolome in Different Sites of Gut Tract Regulates the Meat Quality of Longissimus Dorsi Muscle. Animals. 15(16). 2399–2399.
2.
Zhou, Yun, et al.. (2024). Farnesoid X Receptor: Effective alleviation of rifampicin -induced liver injury. International Immunopharmacology. 139. 112799–112799. 2 indexed citations
3.
Bai, Xue, Tao Wang, Yi Zhang, et al.. (2024). Gene expression profiles in specific skeletal muscles and meat quality characteristics of sheep and goats. Scientific Data. 11(1). 1390–1390. 4 indexed citations
4.
Chang, Weihua, et al.. (2024). The Development of a Regulator of Human Serine Racemase for N-Methyl-D-aspartate Function. Biomedicines. 12(4). 853–853. 2 indexed citations
5.
Qi, Ruizhao, et al.. (2023). Clinical efficacy of total laparoscopic splenectomy for portal hypertension and its influence on hepatic hemodynamics and liver function. World Journal of Gastrointestinal Surgery. 15(8). 1684–1692.
7.
Basang, Wangdui, Weihua Chang, Xingbin Ma, et al.. (2021). Dynamics of apoptosis‐related gene expression during follicular development in yak. Journal of Animal Physiology and Animal Nutrition. 105(6). 1002–1013. 13 indexed citations
8.
Wang, Yong, Hongwei Chen, Weihua Chang, et al.. (2020). Protective effects of selenium yeast against cadmium-induced necroptosis via inhibition of oxidative stress and MAPK pathway in chicken liver. Ecotoxicology and Environmental Safety. 206. 111329–111329. 50 indexed citations
9.
Norman, Paul J., Steven Norberg, Lisbeth A. Guethlein, et al.. (2017). Sequences of 95 humanMHChaplotypes reveal extreme coding variation in genes other than highly polymorphicHLA class IandII. Genome Research. 27(5). 813–823. 69 indexed citations
10.
Xu, Jianhua, et al.. (2017). Upregulated long non-coding RNA LOC90784 promotes cell proliferation and invasion and is associated with poor clinical features in HCC. Biochemical and Biophysical Research Communications. 490(3). 920–926. 18 indexed citations
11.
Chang, Weihua, et al.. (2017). Discovery of two novel miRNAs from the Ovis aries by a combinatorial approach of experiments and bioinformatics. Indian Journal of Animal Research. 3 indexed citations
12.
Chang, Weihua, et al.. (2016). MiR-377 inhibits the proliferation of pancreatic cancer by targeting Pim-3. Tumor Biology. 37(11). 14813–14824. 38 indexed citations
13.
Fan, Wen‐Lang, Chen Siang Ng, Chih‐Feng Chen, et al.. (2013). Genome-Wide Patterns of Genetic Variation in Two Domestic Chickens. Genome Biology and Evolution. 5(7). 1376–1392. 61 indexed citations
14.
Chang, Weihua, et al.. (2013). Genetic Characterization of Taiwan Commercial Native Chickens Ascertained by Microsatellite Markers. The Journal of Poultry Science. 50(4). 290–299. 5 indexed citations
15.
Chang, Weihua, Huashuo Chu, Ye Jiang, et al.. (2008). Genetic variation and phylogenetics of Lanyu and exotic pig breeds in Taiwan analyzed by nineteen microsatellite markers1. Journal of Animal Science. 87(1). 1–8. 34 indexed citations
16.
Gunderson, Kevin L., Frank J. Steemers, Pauline C. Ng, et al.. (2006). Whole‐Genome Genotyping. Methods in enzymology on CD-ROM/Methods in enzymology. 410. 359–376. 83 indexed citations
17.
Peiffer, Daniel A., Jennie Le, Frank J. Steemers, et al.. (2006). High-resolution genomic profiling of chromosomal aberrations using Infinium whole-genome genotyping. Genome Research. 16(9). 1136–1148. 373 indexed citations
18.
Steemers, Frank J., Weihua Chang, Grace Lee, et al.. (2005). Whole-genome genotyping with the single-base extension assay. Nature Methods. 3(1). 31–33. 263 indexed citations
19.
Shen, Richard, Jian‐Bing Fan, Weihua Chang, et al.. (2005). High-throughput SNP genotyping on universal bead arrays. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 573(1-2). 70–82. 299 indexed citations
20.
Chang, Weihua, et al.. (2001). Induction of cardiac FABP gene expression by long chain fatty acids in cultured rat muscle cells. Molecular and Cellular Biochemistry. 221(1-2). 127–132. 18 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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