Ling Guan

1.8k total citations
37 papers, 1.3k citations indexed

About

Ling Guan is a scholar working on Agronomy and Crop Science, Molecular Biology and Genetics. According to data from OpenAlex, Ling Guan has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Agronomy and Crop Science, 13 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in Ling Guan's work include Ruminant Nutrition and Digestive Physiology (23 papers), Genetic and phenotypic traits in livestock (10 papers) and Reproductive Physiology in Livestock (9 papers). Ling Guan is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (23 papers), Genetic and phenotypic traits in livestock (10 papers) and Reproductive Physiology in Livestock (9 papers). Ling Guan collaborates with scholars based in Canada, China and United States. Ling Guan's co-authors include M. Oba, K. A. Beauchemin, G.B. Penner, Mi Zhou, Tim A. McAllister, Masaaki Taniguchi, Stephen P. Miller, Wendy Ann Peer, Zong‐Ming Cheng and Angus Murphy and has published in prestigious journals such as Frontiers in Immunology, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

Ling Guan

37 papers receiving 1.2k citations

Peers

Ling Guan
Comparison fields: 5 of 87
  • Agronomy and Crop Science 825
  • Plant Science 340
  • Molecular Biology 315
  • Genetics 300
  • Animal Science and Zoology 172
Replace S.K.R. Karnati with:
S.K.R. Karnati United States
Arjan Jonker New Zealand
Fenja Klevenhusen Austria
Sarah J. Meale Australia
John A. Rooke United Kingdom
Antônio Ferriani Branco Brazil
Wenjie Huo China
Carla R. Soliva Switzerland
F. Dohme Switzerland
Sarah E. Hook Canada
S.K.R. Karnati United States View profile →
Citations per field, relative to Ling Guan
Ling Guan · 1×
Citations per year, relative to Ling Guan
Ling Guan · 1×

Countries citing papers authored by Ling Guan

Since Specialization
Citations

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

Fields of papers citing papers by Ling Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Guan. A scholar is included among the top collaborators of Ling Guan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Guan. Ling Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 12
3 15
4 12
5 17
6 38
7 40
8 78
9 46
10 17
11 99
12 33
13 14
14 3
15 148
16 65
17 71
18 78
19 79
20 45

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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