Jane Mayotte

569 citations
14 papers · 446 indexed · h-index 11

Jane Mayotte

14 papers receiving 433 citations

Peers

Jane Mayotte
Comparison fields: 5 of 77
  • Oncology 158
  • Cancer Research 70
  • Cardiology and Cardiovascular Medicine 94
  • Genetics 30
  • Molecular Biology 159
Replace Nathalie Dugot‐Senant with:
Nathalie Dugot‐Senant France
Florencia G. Jalikis United States
Marina Cardillo United States
Daniel R. Matson United States
Joel A. Lefferts United States
John Jakob United States
Melisa W-Y. Ho United States
Amleto Fiocchi Italy
Daniel Torres‐Moreno Spain
Ugo Déry Canada
Jane Mayotte relative to Nathalie Dugot‐Senant France Nathalie Dugot‐Senant's profile →
Citations per field
00.5×4.9×
Nathalie Dugot‐Senant · 1×
Citations per year

Countries citing papers authored by Jane Mayotte

Since Specialization
Citations

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

Fields of papers citing papers by Jane Mayotte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 202095
2 202022
3 201810
4 200946
5 20091
6 200945
7
Platelet-derived growth factor D: tumorigenicity in mice and dysregulated expression in human cancer.
200250
8
Early effects of retinoic acid on proliferation, differentiation and apoptosis in non-small cell lung cancer cell lines.
200016
9 199920
10
Enhancement of chemosensitivity and programmed cell death by tyrosine kinase inhibitors correlates with EGFR expression in non-small cell lung cancer cells.
199953
11 199814
12 199554
13 199412
14 19948

About Jane Mayotte

Jane Mayotte is a scholar working on Biophysics, Oncology, Rehabilitation, Hepatology and Immunology, having authored 14 papers that have together received 446 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (3 papers), HER2/EGFR in Cancer Research (3 papers), Blood properties and coagulation (2 papers), Cardiac pacing and defibrillation studies (2 papers), Cell Image Analysis Techniques (2 papers), Skin and Cellular Biology Research (1 paper), Immunotoxicology and immune responses (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Oncology (158 citations), Cancer Research (70 citations), Cardiology and Cardiovascular Medicine (94 citations), Genetics (30 citations) and Molecular Biology (159 citations). Jane Mayotte has collaborated with scholars based in United States, Spain and Ireland. Frequent co-authors include Anna Lokshin, Wendong Lei, M. Rizwan Sohail, Reece Holbrook, Kurt Stromberg, Mikhael F. El‐Chami, Laurence M. Epstein, Mark L. Levitt, Jason Christiansen and Melissa A. Cregger. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, JNCI Journal of the National Cancer Institute, Journal of Clinical Oncology, Experimental Cell Research and International Journal of Oncology.

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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