Shaoli Lin

832 citations
36 papers · 610 · h-index 16

Impact in

Papers in

Shaoli Lin

34 papers receiving 606 citations

Peers

Shaoli Lin
Comparison fields: 5 of 61
  • Animal Science and Zoology 310
  • Infectious Diseases 318
  • Hepatology 98
  • Cardiology and Cardiovascular Medicine 181
  • Agronomy and Crop Science 54
Replace Luis Padilla-Noriega with:
Luis Padilla-Noriega Mexico
Minhua Sun China
Patricia Renson France
Yanlong Pei Canada
Danielle M. Yugo United States
Vanessa M. Pfankuche Germany
Kwang‐Soo Lyoo South Korea
Steven J. Mento United States
M M Lai United States
Shaoli Lin relative to Luis Padilla-Noriega Mexico Luis Padilla-Noriega's profile →
Citations per field
00.5×12×
Luis Padilla-Noriega · 1×
Citations per year

Countries citing papers authored by Shaoli Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shaoli Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201660
2 201548
3 201845
4 201738
5 201436
6 201936
7 201532
8 201732
9 201827
10 201923
11 202022
12 201921
13 201921
14 202119
15 201717
16 202016
17 201815
18 202013
19 201913
20 20179

About Shaoli Lin

Shaoli Lin is a scholar working on Infectious Diseases, Animal Science and Zoology, Cardiology and Cardiovascular Medicine, Hepatology and Immunology, having authored 36 papers that have together received 610 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (19 papers), Animal Virus Infections Studies (16 papers), Viral Infections and Immunology Research (12 papers), Hepatitis Viruses Studies and Epidemiology (8 papers), Liver Disease and Transplantation (6 papers), Virus-based gene therapy research (5 papers), interferon and immune responses (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Animal Science and Zoology (310 citations), Infectious Diseases (318 citations), Hepatology (98 citations), Cardiology and Cardiovascular Medicine (181 citations) and Agronomy and Crop Science (54 citations). Shaoli Lin has collaborated with scholars based in China, United States and France. Frequent co-authors include Yan‐Jin Zhang, Shijin Jiang, Liping Yang, Zhijing Xie, Zexu Ma, Ruihua Zhang, Junhao Chen, Jingjing Lan, Rong Wang and Yuchen Nan. Their work appears in journals such as Viruses, Virology Journal, Veterinary Microbiology, Journal of Virology and Transboundary and Emerging Diseases.

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