Guiyan Yang

913 citations
34 papers · 692 · h-index 15

Impact in

Papers in

    • Gut microbiota and health 7
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Immune Response and Inflammation 3

Guiyan Yang

34 papers receiving 686 citations

Peers

Guiyan Yang
Comparison fields: 5 of 97
  • Food Science 265
  • Animal Science and Zoology 120
  • Endocrinology 60
  • Microbiology 48
  • Molecular Medicine 30
Replace Xiaolun Sun with:
Xiaolun Sun United States
Ondřej Polanský Czechia
Jae Hyoung Cho South Korea
Igor Šplı́chal Czechia
Ilaria Dupré Italy
Vanessa Kissoon‐Singh Canada
Dong Zhou China
Alix Pierron France
Brian Bor‐Chun Weng Taiwan
Rajesh Kumar Agarwal India
Guiyan Yang relative to Xiaolun Sun United States Xiaolun Sun's profile →
Citations per field
00.5×1.5×2.3×
Xiaolun Sun · 1×
Citations per year

Countries citing papers authored by Guiyan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guiyan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 201562
3 201860
4 201655
5 201741
6 201540
7 199634
8 202130
9 201928
10 202327
11 202024
12 201722
13 201822
14 202116
15 202314
16 201914
17 202013
18 202212
19
Pachymic acid improves survival and attenuates acute lung injury in septic rats induced by cecal ligation and puncture.
201712
20 202411

About Guiyan Yang

Guiyan Yang is a scholar working on Molecular Biology, Immunology, Food Science, Infectious Diseases and Epidemiology, having authored 34 papers that have together received 692 indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Probiotics and Fermented Foods (5 papers), Salmonella and Campylobacter epidemiology (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immune Response and Inflammation (3 papers) and Animal Nutrition and Physiology (2 papers). The work is most often cited by research in Food Science (265 citations), Animal Science and Zoology (120 citations), Endocrinology (60 citations), Microbiology (48 citations) and Molecular Medicine (30 citations). Guiyan Yang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Yaohong Zhu, Jin-Hui Su, Jiufeng Wang, Wei Zhang, Dong Zhou, Jiufeng Wang, Bing Xia, Jiao Yu, Xiao Liu and Mengling Wang. Their work appears in journals such as Veterinary Research, Frontiers in Microbiology, Veterinary Microbiology, Biomarker Research and The Science of The Total Environment.

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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