Fachun Wan

1.3k citations
65 papers · 936 · h-index 16

Impact in

Papers in

Fachun Wan

63 papers receiving 917 citations

Peers

Fachun Wan
Comparison fields: 5 of 106
  • Agronomy and Crop Science 177
  • Biochemistry 101
  • Animal Science and Zoology 115
  • Geriatrics and Gerontology 42
  • Pharmacology 80
Replace Anton Kováčik with:
Anton Kováčik Slovakia
Cristina Martínez Conesa Spain
Sara Bosi Italy
Abdullah Eryavuz Türkiye
Giuseppe Martino Italy
T. Wang China
Kehui Ouyang China
Xavier Fretté Denmark
G.C.M. Bakker Netherlands
Nicolas Cardinault France
Fachun Wan relative to Anton Kováčik Slovakia Anton Kováčik's profile →
Citations per field
00.5×
Anton Kováčik · 1×
Citations per year

Countries citing papers authored by Fachun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Fachun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fachun Wan, 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 Fachun Wan Line = papers co-authored together Fachun Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007158
2 202280
3 202264
4 201749
5 200838
6 202033
7 202132
8 201929
9 201529
10 202222
11 202018
12 201018
13 202216
14 201516
15 201716
16 201515
17 201514
18 202213
19 201513
20 202012

About Fachun Wan

Fachun Wan is a scholar working on Agronomy and Crop Science, Molecular Biology, Animal Science and Zoology, Genetics and Physiology, having authored 65 papers that have together received 936 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (22 papers), Genetic and phenotypic traits in livestock (14 papers), Adipose Tissue and Metabolism (10 papers), Sirtuins and Resveratrol in Medicine (9 papers), Reproductive Physiology in Livestock (7 papers), Phytochemicals and Antioxidant Activities (6 papers), Meat and Animal Product Quality (6 papers) and Muscle metabolism and nutrition (5 papers). The work is most often cited by research in Agronomy and Crop Science (177 citations), Biochemistry (101 citations), Animal Science and Zoology (115 citations), Geriatrics and Gerontology (42 citations) and Pharmacology (80 citations). Fachun Wan has collaborated with scholars based in China, Ireland and Canada. Frequent co-authors include Anwei Cheng, Xueming Xu, Zhengyu Jin, Jiaqi Wang, Xiuwen Tan, Enliang Song, Guifen Liu, Kaiyun Luo, Weijun Shen and Qing Jin. Their work appears in journals such as Meat Science, Asian-Australasian Journal of Animal Sciences, Journal of the Science of Food and Agriculture, Frontiers in Microbiology and Frontiers in Veterinary Science.

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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