Changfa Wang

4.6k citations
229 papers · 3.1k · 1 hit paper · h-index 29

Impact in

Papers in

Changfa Wang

217 papers receiving 3.1k citations

Changfa Wang's Hit Papers

Butyrate Supplementation Improves Intestinal Health and Growth Performance in Livestock: A Review 2025 · 22 citations
220Years since publication5101520

Peers

Changfa Wang
Comparison fields: 5 of 119
  • Equine 163
  • Animal Science and Zoology 573
  • Agronomy and Crop Science 571
  • Electrochemistry 257
  • Cancer Research 510
Replace Ling Jin with:
Ling Jin United States
Harry Boer Finland
Xian Guo China
Fabrizio Ceciliani Italy
Anna Arı́s Spain
Hak‐Kyo Lee South Korea
Silvia Vincenzetti Italy
Jalil Mehrzad Iran
Paolo Polidori Italy
Michelle L. Colgrave Australia
Changfa Wang relative to Ling Jin United States Ling Jin's profile →
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Countries citing papers authored by Changfa Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changfa Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Changfa Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Changfa Wang Line = papers co-authored together Changfa Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 229 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011163
2 200569
3 200662
4 201059
5 201458
6 200558
7 201857
8 201056
9 201055
10 201052
11 200950
12 201850
13 201949
14 200448
15 200346
16 201139
17 202039
18 201237
19 202136
20 201136

About Changfa Wang

Changfa Wang is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Agronomy and Crop Science and Cancer Research, having authored 229 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (40 papers), Cancer-related molecular mechanisms research (30 papers), Meat and Animal Product Quality (28 papers), Veterinary Equine Medical Research (17 papers), Reproductive Physiology in Livestock (17 papers), Effects of Environmental Stressors on Livestock (16 papers), Milk Quality and Mastitis in Dairy Cows (15 papers) and Analytical Chemistry and Sensors (14 papers). The work is most often cited by research in Equine (163 citations), Animal Science and Zoology (573 citations), Agronomy and Crop Science (571 citations), Electrochemistry (257 citations) and Cancer Research (510 citations). Changfa Wang has collaborated with scholars based in China, Pakistan and Hong Kong. Frequent co-authors include Jifeng Zhong, Zhihua Ju, Chunya Li, Qiuling Li, Jinming Huang, Chenghang Wang, Jianbin Li, Shengshui Hu, Minghai Hou and Wenqiong Chai. Their work appears in journals such as Animals, Molecular Biology Reports, Frontiers in Veterinary Science, Foods and PLoS ONE.

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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