Weizhong Li
- Molecular Biology top 0.1%
- Ecology top 0.1%
- Plant Science top 0.5%
- Genetics top 0.5%
- Microbiology top 0.1%
- Topics
- Genomics and Phylogenetic Studies (31 papers)Gut microbiota and health (22 papers)Machine Learning in Bioinformatics (12 papers)
- Cited by
- Molecular BiologyMicrobiologyEcology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Weizhong Li
125 papers receiving 25.4k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Molecular Biology 16.8k
- Ecology 5.6k
- Plant Science 3.6k
- Genetics 2.3k
- Microbiology 1.4k
Countries citing papers authored by Weizhong Li
This map shows the geographic impact of Weizhong 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 Weizhong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weizhong Li more than expected).
Fields of papers citing papers by Weizhong Li
This network shows the impact of papers produced by Weizhong 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 Weizhong Li. The network helps show where Weizhong Li may publish in the future.
Co-authorship network of co-authors of Weizhong Li
This figure shows the co-authorship network connecting the top 25 collaborators of Weizhong Li. A scholar is included among the top collaborators of Weizhong Li 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 Weizhong Li. Weizhong Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 55 | |
| 6 | 38 | |
| 7 | 124 | |
| 8 | CD-HIT: accelerated for clustering the next-generation sequencing databreakdown → | 7089 |
| 9 | Efficacy of three kinds of baits against the Subterranean termite Reticulitermes chinensis (Isoptera: Rhinotermitidae) in rural houses in China. | 9 |
| 10 | 220 | |
| 11 | Design of a Flight Path Generation/Display System Based on Direct3D | 0 |
| 12 | Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequencesbreakdown → | 8042 |
| 13 | 475 | |
| 14 | Clinical value of myocardial enzymes evaluation in neonates unconjugated hyperbilirubinemia | 1 |
| 15 | Elective culture of bacteria used in bioleaching on pyrrhotite | 1 |
| 16 | EXTREME CLIMATES EVENTS IN THE CRETACEOUS AND PALEOGENE | 0 |
| 17 | 39 | |
| 18 | Depositional Environment and Paleoclimatic Significance of the Early Oligocene Yaxicuo Group in the Hoh Xil Basin | 5 |
| 19 | 12 | |
| 20 | Progress of Bioinformatics Database Services. | 1 |
About Weizhong Li
Weizhong Li is a scholar working on Microbiology, Molecular Biology and Information Systems and Management, having authored 130 papers that have together received 25.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (31 papers), Gut microbiota and health (22 papers) and Machine Learning in Bioinformatics (12 papers). The work is most often cited by research in Molecular Biology (16.8k citations), Microbiology (1.4k citations) and Ecology (5.6k citations). Weizhong Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Adam Godzik, Beifang Niu, LiMin Fu, Sitao Wu, Zhengwei Zhu, Lukasz Jaroszewski, Ying Huang, Ying Gao, Leszek Rychlewski and Robert W. Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.