Mei-Ling Li

1.1k citations
26 papers · 884 · h-index 14

Impact in

Papers in

Mei-Ling Li

26 papers receiving 879 citations

Peers

Mei-Ling Li
Comparison fields: 5 of 73
  • Cardiology and Cardiovascular Medicine 542
  • Infectious Diseases 271
  • Agronomy and Crop Science 103
  • Molecular Biology 484
  • Animal Science and Zoology 53
Replace Alessandra Gradi with:
Alessandra Gradi Canada
Joseph H. C. Nguyen United States
Denys A. Khaperskyy Canada
Huifang M. Zhang Canada
Junyan Shi Canada
Fredy Siegrist Switzerland
Kevin D. Burroughs United States
Elena Feduchi Spain
Zhikai Xu China
Cristina Romero‐López Spain
Mei-Ling Li relative to Alessandra Gradi Canada Alessandra Gradi's profile →
Citations per field
00.5×4.9×
Alessandra Gradi · 1×
Citations per year

Countries citing papers authored by Mei-Ling Li

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Ling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009154
2 2008129
3 2008122
4 201754
5 201445
6 201145
7 202141
8 200641
9 200841
10 202137
11 201436
12 200433
13 201024
14 200722
15 201912
16 200510
17 19997
18 20176
19 20225
20 20205

About Mei-Ling Li

Mei-Ling Li is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Infectious Diseases, Epidemiology and Immunology, having authored 26 papers that have together received 884 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (13 papers), RNA Research and Splicing (7 papers), RNA and protein synthesis mechanisms (5 papers), RNA regulation and disease (4 papers), Viral gastroenteritis research and epidemiology (3 papers), HIV Research and Treatment (2 papers), interferon and immune responses (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (542 citations), Infectious Diseases (271 citations), Agronomy and Crop Science (103 citations), Molecular Biology (484 citations) and Animal Science and Zoology (53 citations). Mei-Ling Li has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Shin‐Ru Shih, Jing‐Yi Lin, Victor Stollar, Gary Brewer, Jim‐Tong Horng, Carol Li, Blanton S. Tolbert, Peng-Nien Huang, Kun‐Yi Chien and Pei‐Yu Lee. Their work appears in journals such as Journal of Virology, Science Advances, Journal of NeuroVirology, Virology and Journal of Pain Research.

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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