La‐Gen Wan

47 papers and 1.0k indexed citations i.

About

La‐Gen Wan is a scholar working on Molecular Medicine, Endocrinology and Molecular Biology. According to data from OpenAlex, La‐Gen Wan has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Medicine, 19 papers in Endocrinology and 16 papers in Molecular Biology. Recurrent topics in La‐Gen Wan’s work include Antibiotic Resistance in Bacteria (27 papers), Bacterial biofilms and quorum sensing (9 papers) and Vibrio bacteria research studies (7 papers). La‐Gen Wan is often cited by papers focused on Antibiotic Resistance in Bacteria (27 papers), Bacterial biofilms and quorum sensing (9 papers) and Vibrio bacteria research studies (7 papers). La‐Gen Wan collaborates with scholars based in China. La‐Gen Wan's co-authors include Dandan Wei, Yang Liu, Wenjian Liao, Junming Li, Yang Liu, Wei Zhang, Fangling Du, Lianhui Wang, Tianxin Xiang and Xianwei Cao and has published in prestigious journals such as The Journal of Infectious Diseases, Frontiers in Microbiology and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Co-authorship network of co-authors of La‐Gen Wan i

Fields of papers citing papers by La‐Gen Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by La‐Gen Wan. 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 La‐Gen Wan. The network helps show where La‐Gen Wan may publish in the future.

Countries citing papers authored by La‐Gen Wan

Since Specialization
Citations

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

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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2025