Zuoting Yan

1k citations
37 papers · 836 · h-index 15

Impact in

Papers in

Zuoting Yan

37 papers receiving 815 citations

Peers

Zuoting Yan
Comparison fields: 5 of 74
  • Agronomy and Crop Science 262
  • Animal Science and Zoology 81
  • Complementary and alternative medicine 72
  • Molecular Medicine 49
  • Infectious Diseases 119
Replace Reena Mukherjee with:
Reena Mukherjee India
Hovakim S. Zakaryan Armenia
Roman Wójcik Poland
Xiujing Dou China
Tiedong Wang China
Muhammad Suhaib Shahid China
Junhu Yao China
Jiufeng Wang China
Taner Karaoğlu Türkiye
Min Ja Lee South Korea
Zuoting Yan relative to Reena Mukherjee India Reena Mukherjee's profile →
Citations per field
00.5×2×4×6.8×
Reena Mukherjee · 1×
Citations per year

Countries citing papers authored by Zuoting Yan

Since Specialization
Citations

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

Fields of papers citing papers by Zuoting Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015117
2 2010113
3 200482
4 201765
5 201842
6 202134
7 201930
8 201326
9 201625
10 202320
11 201819
12 201318
13 202018
14 202217
15 202217
16 202215
17 201714
18 201814
19 202314
20 202112

About Zuoting Yan

Zuoting Yan is a scholar working on Agronomy and Crop Science, Complementary and alternative medicine, Immunology, Small Animals and Infectious Diseases, having authored 37 papers that have together received 836 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (14 papers), Milk Quality and Mastitis in Dairy Cows (7 papers), Animal health and immunology (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Traditional Chinese Medicine Analysis (3 papers), Immune Response and Inflammation (3 papers), Inflammatory Bowel Disease (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Agronomy and Crop Science (262 citations), Animal Science and Zoology (81 citations), Complementary and alternative medicine (72 citations), Molecular Medicine (49 citations) and Infectious Diseases (119 citations). Zuoting Yan has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Shidong Zhang, Dongan Cui, Xiaohu Wu, Xiaofei Shang, Feng Yang, Jianyong Wu, Jianjun Li, Zhicai Wang, Bo Han and Tariq Ali. Their work appears in journals such as Journal of Dairy Science, Journal of Ethnopharmacology, Frontiers in Veterinary Science, Animals and Journal of Integrative Agriculture.

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.

Explore authors with similar magnitude of impact