Tao Li

4.6k citations
240 papers · 3.4k · 1 hit paper · h-index 28

Impact in

Papers in

    • Genomics and Phylogenetic Studies 15
    • Bacterial biofilms and quorum sensing 11
    • Escherichia coli research studies 15
    • Vibrio bacteria research studies 10

Tao Li

215 papers receiving 3.4k citations

Tao Li's Hit Papers

Microfluidic space coding for multiplexed nucleic acid detection via CRISPR-Cas12a and recombinase polymerase amplification 2022 · 181 citations
1810+1+2Years since publication50100150

Peers

Tao Li
Comparison fields: 5 of 145
  • Endocrinology 256
  • Microbiology 176
  • Small Animals 197
  • Animal Science and Zoology 244
  • Parasitology 146
Replace Yoshiko Sugita‐Konishi with:
Yoshiko Sugita‐Konishi Japan
Sheila Nathan Malaysia
Marc Maresca France
Suk Kim South Korea
Gao‐Xue Wang China
Ebrahim Razzazi‐Fazeli Austria
Niels Skovgaard Denmark
Michael E. Quigley United Kingdom
Maria Tereza dos Santos Correia Brazil
Lenita M. Stefani Brazil
Tao Li relative to Yoshiko Sugita‐Konishi Japan Yoshiko Sugita‐Konishi's profile →
Citations per field
00.5×10.3×
Yoshiko Sugita‐Konishi · 1×
Citations per year

Countries citing papers authored by Tao Li

Since Specialization
Citations

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

Fields of papers citing papers by Tao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015192
2
Microfluidic space coding for multiplexed nucleic acid detection via CRISPR-Cas12a and recombinase polymerase amplification
Hit paper breakdown →
2022181
3 2017112
4 2013104
5 200495
6 201879
7 201674
8 200970
9 201362
10 201757
11 201857
12 201054
13 202248
14 202246
15 202143
16 201541
17 200340
18 201938
19 202238
20 201734

About Tao Li

Tao Li is a scholar working on Molecular Biology, Endocrinology, Plant Science, Immunology and Infectious Diseases, having authored 240 papers that have together received 3.4k indexed citations. Recurring topics across this work include Escherichia coli research studies (15 papers), Genomics and Phylogenetic Studies (15 papers), Coccidia and coccidiosis research (13 papers), Viral gastroenteritis research and epidemiology (13 papers), Bacteriophages and microbial interactions (12 papers), Parasitic Infections and Diagnostics (11 papers), Bacterial biofilms and quorum sensing (11 papers) and Vibrio bacteria research studies (10 papers). The work is most often cited by research in Endocrinology (256 citations), Microbiology (176 citations), Small Animals (197 citations), Animal Science and Zoology (244 citations) and Parasitology (146 citations). Tao Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chang‐Feng Chi, Guofang Ding, Bin Wang, Fa-Yuan Hu, Shaohui Wang, Shengqing Yu, Mingxing Tian, Chan Ding, Jingjing Qi and Nannan Liu. Their work appears in journals such as Veterinary Research, Veterinary Microbiology, Scientific Reports, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Parasitology 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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