Ann–Hwee Lee

62 total papers · 18.6k total citations
50 papers, 14.4k citations indexed

About

Ann–Hwee Lee is a scholar working on Cell Biology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ann–Hwee Lee has authored 50 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cell Biology, 20 papers in Molecular Biology and 18 papers in Epidemiology. Recurrent topics in Ann–Hwee Lee's work include Endoplasmic Reticulum Stress and Disease (35 papers), Lipid metabolism and biosynthesis (12 papers) and Pancreatic function and diabetes (11 papers). Ann–Hwee Lee is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (35 papers), Lipid metabolism and biosynthesis (12 papers) and Pancreatic function and diabetes (11 papers). Ann–Hwee Lee collaborates with scholars based in United States, South Korea and Japan. Ann–Hwee Lee's co-authors include Laurie H. Glimcher, Neal N. Iwakoshi, Gökhan S. Hotamışlıgil, Gürol Tuncman, Erkan Yılmaz, Qiong Cao, Cem Z. Görgün, Umut Özcan, David E. Cohen and Fabio Martinon and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ann–Hwee Lee

50 papers receiving 14.2k citations

Hit Papers

Endoplasmic Reticulum Str... 2003 2026 2010 2018 2004 2003 2008 2004 2010 1000 2.0k 3.0k

Author Peers

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

Author Last Decade Papers Cites
Ann–Hwee Lee 8.1k 5.6k 5.3k 2.9k 2.9k 50 14.4k
Seiichi Oyadomari 7.0k 0.9× 5.9k 1.1× 4.2k 0.8× 2.8k 0.9× 1.1k 0.4× 90 12.5k
Fumihiko Urano 9.2k 1.1× 7.3k 1.3× 5.1k 1.0× 3.5k 1.2× 1.3k 0.5× 121 15.6k
Yuhong Zhang 13.6k 1.7× 11.0k 2.0× 6.8k 1.3× 2.8k 1.0× 2.3k 0.8× 78 20.8k
Neal N. Iwakoshi 5.4k 0.7× 3.6k 0.6× 3.4k 0.6× 2.3k 0.8× 2.6k 0.9× 47 10.3k
Hiderou Yoshida 12.4k 1.5× 7.9k 1.4× 5.9k 1.1× 2.3k 0.8× 1.6k 0.5× 66 15.4k
Donalyn Scheuner 5.9k 0.7× 6.0k 1.1× 3.3k 0.6× 2.2k 0.7× 1.2k 0.4× 49 10.9k
Kazutoshi Mori 17.6k 2.2× 12.3k 2.2× 8.4k 1.6× 3.4k 1.2× 2.5k 0.9× 151 23.3k
Tomomi Gotoh 3.9k 0.5× 4.1k 0.7× 2.2k 0.4× 1.8k 0.6× 1.3k 0.4× 95 9.4k
Joungmok Kim 4.2k 0.5× 8.6k 1.5× 6.6k 1.3× 1.2k 0.4× 966 0.3× 50 15.1k
Linda M. Hendershot 10.8k 1.3× 9.8k 1.7× 4.5k 0.9× 1.8k 0.6× 3.0k 1.0× 124 16.8k

Countries citing papers authored by Ann–Hwee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ann–Hwee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann–Hwee Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ann–Hwee Lee. A scholar is included among the top collaborators of Ann–Hwee 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 Ann–Hwee Lee. Ann–Hwee 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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