Jennifer C. Lee

7.1k citations
147 papers · 5.5k · h-index 42

Impact in

  • Neurology top 0.5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
  • Physiology top 1%
    • Alzheimer's disease research and treatments
    • Lysosomal Storage Disorders Research

Papers in

    • Alzheimer's disease research and treatments 44
    • Lysosomal Storage Disorders Research 11
    • Parkinson's Disease Mechanisms and Treatments 51

Jennifer C. Lee

142 papers receiving 5.4k citations

Peers

Jennifer C. Lee
Comparison fields: 5 of 197
  • Neurology 1.6k
  • Physiology 1.7k
  • Cell Biology 793
  • Biophysics 177
  • Neurology 252
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Jennifer C. Lee relative to John A. Carver Australia John A. Carver's profile →
Citations per field
00.5×3.8×
John A. Carver · 1×
Citations per year

Countries citing papers authored by Jennifer C. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer C. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jennifer C. 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 Jennifer C. Lee Line = papers co-authored together Jennifer C. Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008224
2 2003210
3 2008199
4 2015172
5 2011161
6 2015152
7 2011137
8 1996128
9 2004125
10 2004123
11 2020121
12 2016116
13 2019109
14 201393
15 201791
16 199991
17 201091
18 201288
19 201284
20 201784

About Jennifer C. Lee

Jennifer C. Lee is a scholar working on Physiology, Neurology, Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience, having authored 147 papers that have together received 5.5k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (51 papers), Alzheimer's disease research and treatments (44 papers), Protein Structure and Dynamics (15 papers), Lysosomal Storage Disorders Research (11 papers), Lipid Membrane Structure and Behavior (11 papers), Cellular transport and secretion (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (7 papers). The work is most often cited by research in Neurology (1.6k citations), Physiology (1.7k citations), Cell Biology (793 citations), Biophysics (177 citations) and Neurology (252 citations). Jennifer C. Lee has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Ryan P. McGlinchey, Harry B. Gray, Jay R. Winkler, Candace M. Pfefferkorn, Thai Leong Yap, Zhiping Jiang, Jessica D. Flynn, Zhiping Jiang, Ellen Sidransky and James M. Gruschus. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Biochemistry, The Journal of Physical Chemistry B and Journal of Molecular Biology.

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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