Nan–Yao Lee

205 total papers · 5.3k total citations
151 papers, 3.8k citations indexed

About

Nan–Yao Lee is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Nan–Yao Lee has authored 151 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Infectious Diseases, 63 papers in Epidemiology and 36 papers in Molecular Medicine. Recurrent topics in Nan–Yao Lee's work include Antibiotic Resistance in Bacteria (36 papers), Bacterial Identification and Susceptibility Testing (24 papers) and Antibiotics Pharmacokinetics and Efficacy (19 papers). Nan–Yao Lee is often cited by papers focused on Antibiotic Resistance in Bacteria (36 papers), Bacterial Identification and Susceptibility Testing (24 papers) and Antibiotics Pharmacokinetics and Efficacy (19 papers). Nan–Yao Lee collaborates with scholars based in Taiwan, United States and Japan. Nan–Yao Lee's co-authors include Wen‐Chien Ko, Po‐Ren Hsueh, Chia‐Ming Chang, Po‐Lin Chen, Ching‐Chi Lee, Hsin–Chun Lee, Nai‐Ying Ko, Hsin‐Chun Lee, Ming-Chi Li and Chi‐Jung Wu and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Applied and Environmental Microbiology.

In The Last Decade

Nan–Yao Lee

145 papers receiving 3.8k citations

Hit Papers

Nanoparticles in the Trea... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nan–Yao Lee 1.2k 1.2k 1.0k 530 445 151 3.8k
Gordon M. Trenholme 1.4k 1.1× 1.4k 1.2× 1.4k 1.4× 446 0.8× 678 1.5× 117 4.5k
J. G. McCormack 899 0.7× 1.3k 1.1× 1.4k 1.3× 406 0.8× 482 1.1× 78 3.5k
Tara N. Palmore 1.0k 0.8× 1.1k 0.9× 1.3k 1.3× 549 1.0× 392 0.9× 79 4.0k
Vincent O. Rotimi 848 0.7× 1.1k 0.9× 1.5k 1.5× 789 1.5× 309 0.7× 131 3.8k
Kwen‐Tay Luh 1.8k 1.5× 2.0k 1.7× 1.1k 1.0× 613 1.2× 400 0.9× 149 6.0k
Markos Marangos 933 0.8× 946 0.8× 671 0.7× 227 0.4× 347 0.8× 180 2.9k
Susan Whittier 1.8k 1.5× 1.5k 1.3× 969 0.9× 446 0.8× 340 0.8× 118 4.6k
Sören Gatermann 1.1k 0.9× 938 0.8× 1.4k 1.3× 697 1.3× 351 0.8× 162 4.1k
Matthias Trautmann 782 0.6× 853 0.7× 754 0.7× 379 0.7× 292 0.7× 120 3.0k
Albert Sotto 1.3k 1.1× 1.3k 1.1× 1.4k 1.4× 811 1.5× 369 0.8× 284 5.9k

Countries citing papers authored by Nan–Yao Lee

Since Specialization
Citations

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

Fields of papers citing papers by Nan–Yao Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan–Yao Lee. 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 Nan–Yao Lee. The network helps show where Nan–Yao Lee may publish in the future.

Co-authorship network of co-authors of Nan–Yao Lee

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

All Works

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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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