Jane C. Lee

2.8k citations
20 papers · 2.3k · h-index 15

Impact in

Papers in

Jane C. Lee

20 papers receiving 2.2k citations

Peers

Jane C. Lee
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 503
  • Molecular Biology 1.7k
  • Immunology and Allergy 134
  • Cell Biology 363
  • Rehabilitation 136
Replace Ralf Herrmann with:
Ralf Herrmann Germany
Fumiaki Saito Japan
Ronald Mark Grady United States
Cecilia Jimenez-Mallebrera Spain
Emma M. Clement United Kingdom
Stefan Britsch Germany
K. Bushby United Kingdom
Daniel Hantaı̈ France
Jill A. Rafael United States
Göknur Haliloğlu Türkiye
Jane C. Lee relative to Ralf Herrmann Germany Ralf Herrmann's profile →
Citations per field
00.5×1.5×2×2.3×
Ralf Herrmann · 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-authors

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

20 of 20 papers shown
#Work
1 1997457
2 1994410
3 2001217
4 2012188
5 2020164
6 1997163
7 1999128
8 2010112
9 1998100
10 199682
11 202171
12 200461
13 201940
14 201926
15 201423
16 202112
17 202112
18 201512
19
Animal Model Molecular Pathogenesis of Muscle Degeneration in the d-Sarcoglycan-Deficient Hamster
19983
20 20192

About Jane C. Lee

Jane C. Lee is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Physiology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 2.3k 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 (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pancreatic function and diabetes (2 papers), Adipose Tissue and Metabolism (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (503 citations), Molecular Biology (1.7k citations), Immunology and Allergy (134 citations), Cell Biology (363 citations) and Rehabilitation (136 citations). Jane C. Lee has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kevin P. Campbell, David P. Venzke, Yoshihide Sunada, Ronald F. Hrstka, Roger A. Williamson, Karla J. Daniels, Oxana Ibraghimov‐Beskrovnaya, Michael D. Henry, Michael I. Kotlikoff and Frank K. Lee. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, American Journal of Physiology-Heart and Circulatory Physiology, Cell and Frontiers in Physiology.

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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