Daming Sun

1.3k citations
50 papers · 897 · 1 hit paper · h-index 16

Impact in

Papers in

Daming Sun

49 papers receiving 888 citations

Daming Sun's Hit Papers

Ruminal microbiome-host crosstalk stimulates the development of the ruminal epithelium in a lamb model 2019 · 161 citations
1610+2+4Years since publication50100150

Peers

Daming Sun
Comparison fields: 5 of 120
  • Agronomy and Crop Science 390
  • Small Animals 48
  • Animal Science and Zoology 65
  • Nutrition and Dietetics 58
  • Genetics 106
Replace Koji Higuchi with:
Koji Higuchi Japan
J. M. Jaśkowski Poland
Hen Honig Israel
Hongbin Wang China
Takafumi Gotoh Japan
G. Nicholas New Zealand
Amit Kishore India
Óscar A. Peralta Chile
Fanlin Kong China
J. J. Bond Australia
Daming Sun relative to Koji Higuchi Japan Koji Higuchi's profile →
Citations per field
00.5×1.5×1.8×
Koji Higuchi · 1×
Citations per year

Countries citing papers authored by Daming Sun

Since Specialization
Citations

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

Fields of papers citing papers by Daming Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ruminal microbiome-host crosstalk stimulates the development of the ruminal epithelium in a lamb model
Hit paper breakdown →
2019161
2 201865
3 201351
4 201747
5 201944
6 201840
7 201838
8 201433
9 202129
10 202027
11 202326
12 201725
13 202223
14 201822
15 201920
16 201917
17 201214
18 202414
19 201614
20 202412

About Daming Sun

Daming Sun is a scholar working on Agronomy and Crop Science, Molecular Biology, Computer Vision and Pattern Recognition, Surgery and Biomedical Engineering, having authored 50 papers that have together received 897 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (12 papers), Reproductive Physiology in Livestock (8 papers), Video Surveillance and Tracking Methods (7 papers), Gut microbiota and health (5 papers), Human Pose and Action Recognition (4 papers), Advanced Neural Network Applications (3 papers), Gait Recognition and Analysis (3 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). The work is most often cited by research in Agronomy and Crop Science (390 citations), Small Animals (48 citations), Animal Science and Zoology (65 citations), Nutrition and Dietetics (58 citations) and Genetics (106 citations). Daming Sun has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Shengyong Mao, Weiyun Zhu, Junhua Liu, Fei Xie, Limei Lin, Changzheng Guo, Lixiang Liu, Gaorui Bian, Zhiyong Huang and Yuyang Yin. Their work appears in journals such as Journal of Animal Science, animal, Annals of Biomedical Engineering, Neural Computing and Applications and American Journal of Forensic Medicine & Pathology.

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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