Bee‐Ha Gan

19 papers and 850 indexed citations
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About

Bee‐Ha Gan is a scholar working on Microbiology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Bee‐Ha Gan has authored 19 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Microbiology, 15 papers in Molecular Biology and 8 papers in Organic Chemistry. Recurrent topics in Bee‐Ha Gan’s work include Antimicrobial Peptides and Activities (17 papers), Chemical Synthesis and Analysis (7 papers) and Antimicrobial agents and applications (5 papers). Bee‐Ha Gan is often cited by papers focused on Antimicrobial Peptides and Activities (17 papers), Chemical Synthesis and Analysis (7 papers) and Antimicrobial agents and applications (5 papers). Bee‐Ha Gan collaborates with scholars based in Switzerland, China and United Kingdom. Bee‐Ha Gan's co-authors include Josephine Gaynord, Sam M. Rowe, Tomáš Deingruber, David R. Spring, Jean‐Louis Reymond, Sacha Javor, Tamis Darbre, Thilo Köhler, Thissa N. Siriwardena and Christian van Delden and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

In The Last Decade

Co-authorship network of co-authors of Bee‐Ha Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Bee‐Ha Gan. A scholar is included among the top collaborators of Bee‐Ha Gan 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 Bee‐Ha Gan. Bee‐Ha Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Bee‐Ha Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bee‐Ha Gan. 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 Bee‐Ha Gan. The network helps show where Bee‐Ha Gan may publish in the future.

Countries citing papers authored by Bee‐Ha Gan

Since Specialization
Citations

This map shows the geographic impact of Bee‐Ha Gan'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 Bee‐Ha Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bee‐Ha Gan 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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2026