Fachun Wan

1.4k citations
71 papers · 1.1k · h-index 16

Impact in

Papers in

Fachun Wan

65 papers receiving 1.0k citations

Peers

Fachun Wan
Comparison fields: 5 of 105
  • Agronomy and Crop Science 198
  • Biochemistry 102
  • Geriatrics and Gerontology 42
  • Animal Science and Zoology 127
  • Pharmacology 79
Replace Anton Kováčik with:
Anton Kováčik Slovakia
Muhammad Aslam Ali Pakistan
Giuseppe Martino Italy
Christine Bösch United Kingdom
Yordan Martínez Cuba
Tianchao Wang China
Abdullah Eryavuz Türkiye
Eliton Chivandi South Africa
Xavier C. Fretté Denmark
Everaldo Attard Malta
Fachun Wan relative to Anton Kováčik Slovakia Anton Kováčik's profile →
Citations per field
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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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007162
2 202290
3 202273
4 201751
5 202141
6 200838
7 202037
8 201934
9 201530
10 202226
11 202022
12 201020
13 202220
14 201518
15 201717
16 202216
17 201515
18 201515
19 201514
20 202214

About Fachun Wan

Fachun Wan is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Geriatrics and Gerontology, Biochemistry and Physiology, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (22 papers), Genetic and phenotypic traits in livestock (13 papers), Adipose Tissue and Metabolism (10 papers), Sirtuins and Resveratrol in Medicine (9 papers), Meat and Animal Product Quality (6 papers), Reproductive Physiology in Livestock (6 papers), Phytochemicals and Antioxidant Activities (5 papers) and Animal Nutrition and Physiology (5 papers). The work is most often cited by research in Agronomy and Crop Science (198 citations), Biochemistry (102 citations), Geriatrics and Gerontology (42 citations), Animal Science and Zoology (127 citations) and Pharmacology (79 citations). Fachun Wan has collaborated with scholars based in China, United States and India. Frequent co-authors include Anwei Cheng, Zhengyu Jin, Xueming Xu, Jiaqi Wang, Xiuwen Tan, Guifen Liu, Kaiyun Luo, Enliang Song, Weijun Shen and Wang Zuo. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, Journal of the Science of Food and Agriculture, Frontiers in Microbiology, Meat Science 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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