Lendl Tan
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- Cancer therapeutics and mechanisms 4
- Biochemical and Molecular Research 4
-
- Pneumocystis jirovecii pneumonia detection and treatment 3
- Co-authors
- Nicholas P. West (17 shared papers)Mark A. Schembri (6 shared papers)Danilo Gomes Moriel (4 shared papers)Alvin W. Lo (4 shared papers)Scott A. Beatson (4 shared papers)Glen C. Ulett (4 shared papers)Matthew A. Cooper (4 shared papers)Mark A. T. Blaskovich (4 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)Molecular Microbiology (3 papers)Nature Communications (2 papers)mSphere (2 papers)PeerJ (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Lendl Tan
21 papers receiving 380 citations
Peers
Comparison fields: 5 of 73
- Endocrinology 57
- Infectious Diseases 126
- Molecular Medicine 35
- Epidemiology 112
- Microbiology 21
Countries citing papers authored by Lendl Tan
This map shows the geographic impact of Lendl Tan'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 Lendl Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lendl Tan more than expected).
Fields of papers citing papers by Lendl Tan
This network shows the impact of papers produced by Lendl Tan. 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 Lendl Tan. The network helps show where Lendl Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lendl Tan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2019 | 66 | |
| 3 | 2021 | 39 | |
| 4 | 2016 | 30 | |
| 5 | 2019 | 27 | |
| 6 | 2020 | 22 | |
| 7 | 2018 | 22 | |
| 8 | 2022 | 20 | |
| 9 | 2016 | 18 | |
| 10 | 2021 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2016 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Lendl Tan
Lendl Tan is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Endocrinology and Molecular Medicine, having authored 22 papers that have together received 382 indexed citations. Recurring topics across this work include Escherichia coli research studies (5 papers), Antibiotic Resistance in Bacteria (4 papers), Tuberculosis Research and Epidemiology (4 papers), Cancer therapeutics and mechanisms (4 papers), Biochemical and Molecular Research (4 papers), Bacterial Genetics and Biotechnology (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Endocrinology (57 citations), Infectious Diseases (126 citations), Molecular Medicine (35 citations), Epidemiology (112 citations) and Microbiology (21 citations). Lendl Tan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nicholas P. West, Mark A. Schembri, Danilo Gomes Moriel, Alvin W. Lo, Scott A. Beatson, Glen C. Ulett, Matthew A. Cooper, Mark A. T. Blaskovich, Minh‐Duy Phan and Begoña Heras. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular Microbiology, Nature Communications, mSphere and PeerJ.
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.