Jane E. Cavanaugh

2.2k citations
42 papers · 1.9k indexed · h-index 18

Impact in

Papers in

Jane E. Cavanaugh

40 papers receiving 1.8k citations

Peers

Jane E. Cavanaugh
Comparison fields: 5 of 102
  • Developmental Neuroscience 250
  • Cellular and Molecular Neuroscience 711
  • Neurology 152
  • Geriatrics and Gerontology 63
  • Molecular Biology 1.0k
Replace Helena Cimarosti with:
Helena Cimarosti Brazil
Nicholas Rensing United States
Luigi Formisano Italy
Elisa Motori Germany
Andrii Domanskyi Finland
Karoly Nikolich United States
Jee-Yeon Hwang United States
Armando P. Signore United States
Akiko Furuta Japan
Jane E. Cavanaugh relative to Helena Cimarosti Brazil Helena Cimarosti's profile →
Citations per field
00.5×1.5×2.3×
Helena Cimarosti · 1×
Citations per year

Countries citing papers authored by Jane E. Cavanaugh

Since Specialization
Citations

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

Fields of papers citing papers by Jane E. Cavanaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999490
2 2000395
3 2001175
4 2003141
5 200482
6 200671
7 201769
8 200754
9 200247
10 201726
11 201323
12 202122
13 201721
14 201620
15 201920
16 201620
17 201419
18 202218
19 201914
20 201013

About Jane E. Cavanaugh

Jane E. Cavanaugh is a scholar working on Geriatrics and Gerontology, Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Neurology, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (15 papers), Nerve injury and regeneration (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cancer Cells and Metastasis (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Signaling Pathways in Disease (3 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Developmental Neuroscience (250 citations), Cellular and Molecular Neuroscience (711 citations), Neurology (152 citations), Geriatrics and Gerontology (63 citations) and Molecular Biology (1.0k citations). Jane E. Cavanaugh has collaborated with scholars based in United States, Poland and Belgium. Frequent co-authors include Zhengui Xia, Michal Hetman, Kevin C. Kanning, David Kimelman, Michael J. Zigmond, Joan M. Lakoski, Yan Chen, Steven Poser, Yupeng Wang and Lidong Liu. Their work appears in journals such as Cancer Research, Bioorganic & Medicinal Chemistry Letters, Journal of Neuroscience, Neurobiology of Aging and American Journal of Pharmaceutical Education.

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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