James S. Lee

1.0k total citations
14 papers, 804 citations indexed

About

James S. Lee is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Aging. According to data from OpenAlex, James S. Lee has authored 14 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Endocrine and Autonomic Systems and 3 papers in Aging. Recurrent topics in James S. Lee's work include Circadian rhythm and melatonin (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Nematode management and characterization studies (2 papers). James S. Lee is often cited by papers focused on Circadian rhythm and melatonin (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Nematode management and characterization studies (2 papers). James S. Lee collaborates with scholars based in United States, South Korea and Japan. James S. Lee's co-authors include Oh Seok Kwon, Jun Seop Lee, Seon Joo Park, Jin‐Yong Hong, Jyongsik Jang, Morton B. Brown, A‐Reum Han, Joon Hak Oh, Vasantha Padmanabhan and Douglas L. Foster and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and Current Biology.

In The Last Decade

James S. Lee

13 papers receiving 790 citations

Peers

James S. Lee
Melanie M. Tomczak United States
Roy Cohen United States
Sofie Tanghe Belgium
James S. Lee
Citations per year, relative to James S. Lee James S. Lee (= 1×) peers Yanmin Feng

Countries citing papers authored by James S. Lee

Since Specialization
Citations

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

Fields of papers citing papers by James S. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. 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 James S. Lee. The network helps show where James S. Lee may publish in the future.

Co-authorship network of co-authors of James S. Lee

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

All Works

14 of 14 papers shown
1.
Lee, James S., et al.. (2025). Flash Drought and Heat Waves Influence Embryonic Development and Offspring Size in an Oviparous Ectotherm. PubMed. 98(5). 302–314. 1 indexed citations
2.
Gharib, Shahla, Han Wang, Jasmin S. Revanna, et al.. (2023). A cGAL-UAS bipartite expression toolkit for Caenorhabditis elegans sensory neurons. Proceedings of the National Academy of Sciences. 120(51). e2221680120–e2221680120. 3 indexed citations
3.
Cheng, Du, James S. Lee, Margaret S. Ebert, et al.. (2022). Insulin/IGF signaling regulates presynaptic glutamate release in aversive olfactory learning. Cell Reports. 41(8). 111685–111685. 14 indexed citations
4.
Kanzaki, Natsumi, et al.. (2021). Tokorhabditis n. gen. (Rhabditida, Rhabditidae), a comparative nematode model for extremophilic living. Scientific Reports. 11(1). 16470–16470. 7 indexed citations
5.
Lee, James S., Ryoji Shinya, Natsumi Kanzaki, et al.. (2019). Newly Identified Nematodes from Mono Lake Exhibit Extreme Arsenic Resistance. Current Biology. 29(19). 3339–3344.e4. 21 indexed citations
6.
Lee, James S., et al.. (2019). Genetic markers enable the verification and manipulation of the dauer entry decision. Developmental Biology. 454(2). 170–180. 11 indexed citations
7.
Lee, James S., et al.. (2017). FMRFamide-like peptides expand the behavioral repertoire of a densely connected nervous system. Proceedings of the National Academy of Sciences. 114(50). E10726–E10735. 58 indexed citations
8.
Shin, Keun‐Young, Minkyu Kim, James S. Lee, & Jyongsik Jang. (2015). Highly Omnidirectional and Frequency Controllable Carbon/Polyaniline-based 2D and 3D Monopole Antenna. Scientific Reports. 5(1). 13615–13615. 18 indexed citations
9.
Zhang, Xiaoyi, Lin Gui, Xiaoyan Zhang, et al.. (2015). Altered cofactor regulation with disease-associated p97/VCP mutations. Proceedings of the National Academy of Sciences. 112(14). E1705–14. 79 indexed citations
10.
Kwon, Oh Seok, Seon Joo Park, Jin‐Yong Hong, et al.. (2012). Flexible FET-Type VEGF Aptasensor Based on Nitrogen-Doped Graphene Converted from Conducting Polymer. ACS Nano. 6(2). 1486–1493. 206 indexed citations
11.
Kwon, Oh Seok, Sae Ryun Ahn, Seon Joo Park, et al.. (2012). Ultrasensitive and Selective Recognition of Peptide Hormone Using Close-Packed Arrays of hPTHR-Conjugated Polymer Nanoparticles. ACS Nano. 6(6). 5549–5558. 47 indexed citations
12.
Yao, Kejian, Jifu Wang, Wujie Zhang, et al.. (2011). Degradable Rosin-Ester–Caprolactone Graft Copolymers. Biomacromolecules. 12(6). 2171–2177. 106 indexed citations
13.
Manikkam, Mohan, Erica J. Crespi, Carol Herkimer, et al.. (2003). Fetal Programming: Prenatal Testosterone Excess Leads to Fetal Growth Retardation and Postnatal Catch-Up Growth in Sheep. Endocrinology. 145(2). 790–798. 221 indexed citations

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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