Shengyong Mao

7.7k citations
174 papers · 5.2k indexed · 1 hit paper · h-index 40

Shengyong Mao

165 papers receiving 5.1k citations

Hit Papers

Characterising the bacterial microbiota across the gastro...4012015202620182022100200300400

Peers

Shengyong Mao
Comparison fields: 5 of 126
  • Agronomy and Crop Science 3.3k
  • Animal Science and Zoology 670
  • Small Animals 300
  • Food Science 683
  • Nephrology 251
Replace Graeme T. Attwood with:
Graeme T. Attwood New Zealand
Stuart E. Denman Australia
Cécile Martin France
Ehsan Khafipour Canada
Jörg R. Aschenbach Germany
G. Breves Germany
David R. Yáñez-Ruíz Spain
R. J. Wallace United Kingdom
Neil McEwan United Kingdom
C. Benchaar Canada
Shengyong Mao relative to Graeme T. Attwood New Zealand Graeme T. Attwood's profile →
Citations per field
00.5×2.7×
Graeme T. Attwood · 1×
Citations per year

Countries citing papers authored by Shengyong Mao

Since Specialization
Citations

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

Fields of papers citing papers by Shengyong Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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3 20250
4 20245
5 20240
6 20247
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8 20238
9 202352
10 20232
11 202330
12 20232
13 20232
14 20235
15 202118
16 20212
17 201986
18 201961
19 201683
20
Effect of substrates with different lignin content on rumen fungal attachment and fermentation in the rumen of goats
20053

About Shengyong Mao

Shengyong Mao is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Nephrology, having authored 174 papers that have together received 5.2k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (115 papers), Gut microbiota and health (52 papers), Reproductive Physiology in Livestock (39 papers), Genetic and phenotypic traits in livestock (30 papers), Probiotics and Fermented Foods (23 papers), Plant and fungal interactions (18 papers), Birth, Development, and Health (11 papers) and Gout, Hyperuricemia, Uric Acid (11 papers). The work is most often cited by research in Agronomy and Crop Science (3.3k citations), Animal Science and Zoology (670 citations) and Small Animals (300 citations). Shengyong Mao has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Weiyun Zhu, Junhua Liu, Ruiyang Zhang, Mengling Zhang, Wenjie Huo, Daming Sun, Junhua Liu, Limei Lin, Fei Xie and Yanfeng Xue. Their work appears in journals such as animal, Journal of Animal Science, Journal of Dairy Science, Animal Feed Science and Technology and Journal of Animal Science and Biotechnology.

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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