Jane C. Lee

2.5k citations
19 papers · 1.9k indexed · h-index 14

Jane C. Lee

19 papers receiving 1.9k citations

Peers

Jane C. Lee
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 489
  • Molecular Biology 1.6k
  • Cell Biology 361
  • Immunology and Allergy 133
  • Rehabilitation 138
Replace Federica Montanaro with:
Federica Montanaro United States
R. Mark Grady United States
Fumiaki Saito Japan
Rita Barresi United Kingdom
Michael Lindenbaum Canada
Sasha Bogdanovich United States
C. Jimenez‐Mallebrera Spain
Jill A. Rafael United States
Yasuko Hagiwara Japan
Stephen Abbs United Kingdom
Jane C. Lee relative to Federica Montanaro United States Federica Montanaro's profile →
Citations per field
00.5×1.5×
Federica Montanaro · 1×
Citations per year

Countries citing papers authored by Jane C. Lee

Since Specialization
Citations

This map shows the geographic impact of Jane 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 Jane 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 Jane C. Lee more than expected).

Fields of papers citing papers by Jane C. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20219
2 20219
3 202161
4 2020144
5 201924
6 20192
7 201936
8 201511
9 201423
10 2012177
11 2010104
12 200456
13 1999124
14 199897
15
Animal Model Molecular Pathogenesis of Muscle Degeneration in the d-Sarcoglycan-Deficient Hamster
19983
16 1997164
17 1997439
18 199676
19 1994381

About Jane C. Lee

Jane C. Lee is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Physiology, Molecular Biology and Neurology, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Genetic Neurodegenerative Diseases (4 papers), Photoreceptor and optogenetics research (3 papers), Ion channel regulation and function (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (489 citations), Molecular Biology (1.6k citations), Cell Biology (361 citations), Immunology and Allergy (133 citations) and Rehabilitation (138 citations). Jane C. Lee has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kevin P. Campbell, David Venzke, Yoshihide Sunada, Michael D. Henry, Roger A. Williamson, Ronald F. Hrstka, Karla J. Daniels, Oxana Ibraghimov‐Beskrovnaya, Michael I. Kotlikoff and Rachelle H. Crosbie. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Heart and Circulatory Physiology, Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Journal of Neuroscience.

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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