Ligui Wang

2.8k citations
67 papers · 1.4k indexed · h-index 20

Impact in

Papers in

Ligui Wang

63 papers receiving 1.4k citations

Peers

Ligui Wang
Comparison fields: 5 of 131
  • Molecular Medicine 359
  • Endocrinology 340
  • Applied Microbiology and Biotechnology 45
  • Infectious Diseases 333
  • Pollution 131
Replace Sima Tokajian with:
Sima Tokajian Lebanon
Jennifer K. Bender Germany
Sung‐Pin Tseng Taiwan
Lejla Imamovic Spain
Dingqiang Chen China
Lenore L. Carias United States
Corinna Glasner Netherlands
Koji Yahara Japan
Moataz Abd El Ghany Australia
Hossein Goudarzi Iran
Ligui Wang relative to Sima Tokajian Lebanon Sima Tokajian's profile →
Citations per field
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Sima Tokajian · 1×
Citations per year

Countries citing papers authored by Ligui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ligui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016285
2 201395
3 201782
4 201357
5 201548
6 201847
7 201944
8 201643
9 202141
10 201039
11 201837
12 201434
13 201334
14 200932
15 201432
16 202229
17 201523
18 201523
19 201023
20 201220

About Ligui Wang

Ligui Wang is a scholar working on Endocrinology, Molecular Medicine, Modeling and Simulation, Infectious Diseases and Food Science, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (12 papers), Salmonella and Campylobacter epidemiology (11 papers), Escherichia coli research studies (11 papers), Antibiotic Resistance in Bacteria (11 papers), COVID-19 epidemiological studies (10 papers), Respiratory viral infections research (8 papers), Vibrio bacteria research studies (7 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Molecular Medicine (359 citations), Endocrinology (340 citations), Applied Microbiology and Biotechnology (45 citations), Infectious Diseases (333 citations) and Pollution (131 citations). Ligui Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hongbin Song, Shaofu Qiu, Chuanfu Zhang, Beibei Liang, Leili Jia, Rongzhang Hao, Lihua Qi, Xuelin Liu, Xinying Du and Hao Li. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, Journal of Clinical Microbiology, Scientific Reports and Frontiers in Cellular and Infection 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.

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