Wanzhen Li
Impact in
- Molecular Medicine top 10%
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Protein Hydrolysis and Bioactive Peptides 3
- Neurology 14
- Amyotrophic Lateral Sclerosis Research 13
- Co-authors
- Qinqin Sun (2 shared papers)Yayun He (2 shared papers)Bin Su (2 shared papers)Longhua Ding (2 shared papers)Junbao Du (4 shared papers)Junling Wang (13 shared papers)Beisha Tang (13 shared papers)Lu Shen (13 shared papers)
- Journals
- PeerJ (4 papers)Neurobiology of Aging (3 papers)Chemistry - A European Journal (2 papers)ERJ Open Research (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Wanzhen Li
93 papers receiving 882 citations
Peers
Comparison fields: 5 of 121
- Molecular Medicine 38
- Neurology 97
- Bioengineering 31
- Electrochemistry 33
- Molecular Biology 320
Countries citing papers authored by Wanzhen Li
This map shows the geographic impact of Wanzhen 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 Wanzhen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanzhen Li more than expected).
Fields of papers citing papers by Wanzhen Li
This network shows the impact of papers produced by Wanzhen 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 Wanzhen Li. The network helps show where Wanzhen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanzhen 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2017 | 48 | |
| 3 | 2017 | 41 | |
| 4 | 2014 | 39 | |
| 5 | 2014 | 38 | |
| 6 | 2015 | 34 | |
| 7 | 2018 | 33 | |
| 8 | 2004 | 28 | |
| 9 | 2016 | 25 | |
| 10 | 2021 | 24 | |
| 11 | 2019 | 22 | |
| 12 | 1999 | 21 | |
| 13 | 2008 | 21 | |
| 14 | 2017 | 20 | |
| 15 | 2022 | 18 | |
| 16 | 2022 | 18 | |
| 17 | 2019 | 18 | |
| 18 | 2018 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2021 | 15 |
About Wanzhen Li
Wanzhen Li is a scholar working on Molecular Biology, Neurology, Surgery, Genetics and Pharmacology, having authored 104 papers that have together received 895 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (7 papers), Gastroesophageal reflux and treatments (6 papers), Antibiotic Resistance in Bacteria (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Protein Hydrolysis and Bioactive Peptides (3 papers). The work is most often cited by research in Molecular Medicine (38 citations), Neurology (97 citations), Bioengineering (31 citations), Electrochemistry (33 citations) and Molecular Biology (320 citations). Wanzhen Li has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Qinqin Sun, Yayun He, Bin Su, Longhua Ding, Junbao Du, Junling Wang, Beisha Tang, Lu Shen, Qingyou Zhang and Fei Ge. Their work appears in journals such as PeerJ, Neurobiology of Aging, Chemistry - A European Journal, ERJ Open Research and Scientific Reports.
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.