Guangjun Chang

1.8k citations
69 papers · 1.3k · h-index 21

Impact in

Papers in

Guangjun Chang

66 papers receiving 1.3k citations

Peers

Guangjun Chang
Comparison fields: 5 of 97
  • Agronomy and Crop Science 527
  • Animal Science and Zoology 141
  • Nutrition and Dietetics 165
  • Small Animals 69
  • Cancer Research 108
Replace Yusheng Liang with:
Yusheng Liang China
Nana Ma China
Xiangzhen Shen China
Hongyu Dai China
Peng Ji United States
Aftab Shaukat China
P. Gálfi Hungary
Monica Colitti Italy
Xiaoyu Hu China
Zhisheng Wang China
Guangjun Chang relative to Yusheng Liang China Yusheng Liang's profile →
Citations per field
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Yusheng Liang · 1×
Citations per year

Countries citing papers authored by Guangjun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Guangjun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022104
2 201687
3 201981
4 201759
5 201559
6 201653
7 202349
8 202248
9 201545
10 201544
11 201434
12 201832
13 201629
14 201829
15 202328
16 202026
17 202125
18 202025
19 201824
20 202123

About Guangjun Chang

Guangjun Chang is a scholar working on Agronomy and Crop Science, Molecular Biology, Immunology, Nutrition and Dietetics and Cancer Research, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (15 papers), Immune Response and Inflammation (12 papers), Reproductive Physiology in Livestock (10 papers), Milk Quality and Mastitis in Dairy Cows (10 papers), NF-κB Signaling Pathways (6 papers), Gut microbiota and health (5 papers), Fatty Acid Research and Health (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Agronomy and Crop Science (527 citations), Animal Science and Zoology (141 citations), Nutrition and Dietetics (165 citations), Small Animals (69 citations) and Cancer Research (108 citations). Guangjun Chang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xiangzhen Shen, Nana Ma, Tianle Xu, Meijuan Meng, Ran Huo, Junfei Guo, Hongyu Dai, Yan Wang, Jie Huang and Lei Xu. Their work appears in journals such as Journal of Dairy Science, Journal of Agricultural and Food Chemistry, BMC Veterinary Research, Microbial Pathogenesis and Frontiers in Immunology.

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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