Tao Li
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Microbiology top 2%
- Microbial infections and disease research
Papers in ⓘ
-
- Escherichia coli research studies 15
- Vibrio bacteria research studies 10
- Co-authors
- Fa-Yuan Hu (1 shared paper)Chang‐Feng Chi (1 shared paper)Bin Wang (1 shared paper)Guofang Ding (1 shared paper)Shaohui Wang (24 shared papers)Shengqing Yu (23 shared papers)Mingxing Tian (21 shared papers)Nannan Liu (1 shared paper)
- Journals
- Veterinary Research (7 papers)Veterinary Microbiology (7 papers)Scientific Reports (5 papers)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (5 papers)Archives of Microbiology (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Tao Li
206 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Endocrinology 257
- Microbiology 174
- Small Animals 195
- Parasitology 155
- Animal Science and Zoology 237
Countries citing papers authored by Tao Li
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
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.
All Works
Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 183 | |
| 2 | Microfluidic space coding for multiplexed nucleic acid detection via CRISPR-Cas12a and recombinase polymerase amplification Hit paper breakdown → | 2022 | 161 |
| 3 | 2017 | 102 | |
| 4 | 2013 | 99 | |
| 5 | 2004 | 95 | |
| 6 | 2018 | 77 | |
| 7 | 2016 | 74 | |
| 8 | 2009 | 69 | |
| 9 | 2013 | 59 | |
| 10 | 2017 | 55 | |
| 11 | 2010 | 53 | |
| 12 | 2018 | 49 | |
| 13 | 2022 | 43 | |
| 14 | 2015 | 40 | |
| 15 | 2022 | 40 | |
| 16 | 2021 | 40 | |
| 17 | 2003 | 39 | |
| 18 | 2019 | 36 | |
| 19 | 2022 | 34 | |
| 20 | 2017 | 31 |
About Tao Li
Tao Li is a scholar working on Endocrinology, Small Animals, Parasitology, Microbiology and Animal Science and Zoology, having authored 223 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Escherichia coli research studies (15 papers), Bacteriophages and microbial interactions (13 papers), Viral gastroenteritis research and epidemiology (13 papers), Coccidia and coccidiosis research (13 papers), Bacterial biofilms and quorum sensing (11 papers), Parasitic Infections and Diagnostics (11 papers) and Vibrio bacteria research studies (10 papers). The work is most often cited by research in Endocrinology (257 citations), Microbiology (174 citations), Small Animals (195 citations), Parasitology (155 citations) and Animal Science and Zoology (237 citations). Tao Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fa-Yuan Hu, Chang‐Feng Chi, Bin Wang, Guofang Ding, Shaohui Wang, Shengqing Yu, Mingxing Tian, Nannan Liu, Chan Ding and Jingjing Qi. Their work appears in journals such as Veterinary Research, Veterinary Microbiology, Scientific Reports, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Archives of Microbiology.
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.