Wanzhen Li

1.1k citations
99 papers · 824 indexed · h-index 17

Wanzhen Li

89 papers receiving 810 citations

Peers

Wanzhen Li
Comparison fields: 5 of 122
  • Neurology 103
  • Molecular Medicine 33
  • Bioengineering 31
  • Electrochemistry 33
  • Genetics 55
Replace Magdalena Gabig‐Cimińska with:
Magdalena Gabig‐Cimińska Poland
In Young Chung South Korea
Yuting Wang China
Kumkum Ganguly United States
Mitko Mladenov North Macedonia
Rohit Saluja India
Xuhong Zhang China
Yu Zou China
Margret C.M. Blom-Roosemalen Netherlands
Lei Yuan China
Wanzhen Li relative to Magdalena Gabig‐Cimińska Poland Magdalena Gabig‐Cimińska's profile →
Citations per field
00.5×3.7×
Magdalena Gabig‐Cimińska · 1×
Citations per year

Countries citing papers authored by Wanzhen Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Wanzhen Li Line = papers co-authored together Wanzhen Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20250
5 20241
6 20244
7 20233
8 202311
9 20230
10 20231
11 20231
12 20233
13 20232
14 20212
15 20206
16 201917
17 201814
18
Preparation of glycolic acid by the fermentation of ethylene glycol
20121
19 200818
20
Study on scavenging and monoamine oxidase inhibitory activities of the metabolite of {\sl Paecilomyces tenuipes}
20063

About Wanzhen Li

Wanzhen Li is a scholar working on Gastroenterology, Molecular Medicine, Genetics, Neurology and Speech and Hearing, having authored 99 papers that have together received 824 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (13 papers), Respiratory and Cough-Related Research (10 papers), Neurogenetic and Muscular Disorders Research (10 papers), Gastroesophageal reflux and treatments (8 papers), Antibiotic Resistance in Bacteria (5 papers), Dysphagia Assessment and Management (5 papers), Cardiovascular Syncope and Autonomic Disorders (5 papers) and Neurological diseases and metabolism (4 papers). The work is most often cited by research in Neurology (103 citations), Molecular Medicine (33 citations), Bioengineering (31 citations), Electrochemistry (33 citations) and Genetics (55 citations). Wanzhen Li has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Qingyou Zhang, Bin Su, Qinqin Sun, Yayun He, Longhua Ding, Junbao Du, Beisha Tang, Junling Wang, Lu Shen and Fei Ge. Their work appears in journals such as PeerJ, Neurobiology of Aging, Scientific Reports, Chemistry - A European Journal and Biomaterials.

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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