Peter H. Lee

3.3k citations
48 papers · 1.0k · h-index 12

Impact in

Papers in

Peter H. Lee

30 papers receiving 944 citations

Peers

Peter H. Lee
Comparison fields: 5 of 130
  • Cellular and Molecular Neuroscience 512
  • Cognitive Neuroscience 316
  • Cultural Studies 71
  • Neurology 56
  • Developmental Neuroscience 27
Replace Sylvia Chen with:
Sylvia Chen United States
Mario Matarrese Italy
Kathleen Davis United States
Giovanni Diana Italy
Patricia Kensel-Hammes United States
Nadia K. Litterman United States
Takeya Okada Japan
David T. Croke Ireland
Fawzi Boumezbeur France
Xuelin Lou United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter H. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Peter H. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter H. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter H. Lee Line = papers co-authored together Peter H. Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012314
2 2011207
3 2019112
4 199692
5 199959
6 198050
7
Sourcebook of Korean civilization
199331
8 199217
9 200316
10
Sources of Korean Tradition
200016
11 201515
12 198014
13 201811
14 198210
15 19989
16 19977
17 19817
18 20236
19 19806
20 20015

About Peter H. Lee

Peter H. Lee is a scholar working on Cultural Studies, Sociology and Political Science, Molecular Biology, Cellular and Molecular Neuroscience and Information Systems, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Asian Culture and Media Studies (14 papers), Japanese History and Culture (14 papers), Chinese history and philosophy (5 papers), Receptor Mechanisms and Signaling (4 papers), Educational Systems and Policies (3 papers), Memory and Neural Mechanisms (2 papers), Ocean Waves and Remote Sensing (2 papers) and Oceanographic and Atmospheric Processes (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (512 citations), Cognitive Neuroscience (316 citations), Cultural Studies (71 citations), Neurology (56 citations) and Developmental Neuroscience (27 citations). Peter H. Lee has collaborated with scholars based in United States and France. Frequent co-authors include Scott M. Sternson, Christopher Magnus, Loren L. Looger, Helen Hong Su, Deniz Atasoy, Frédéric Bolze, Patrick Kaifosh, Boris V. Zemelman, Jean‐François Nicoud and Matthew Lovett-Barron. Their work appears in journals such as Science, iScience, Tetrahedron, Applied Physics Letters and Pacific Affairs.

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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