Noelia Nebot

737 citations
17 papers · 439 · h-index 11

Impact in

Papers in

    • Melanoma and MAPK Pathways 8
    • PI3K/AKT/mTOR signaling in cancer 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Colorectal Cancer Treatments and Studies 4
    • Drug Transport and Resistance Mechanisms 2
    • Cancer Treatment and Pharmacology 2

Noelia Nebot

17 papers receiving 438 citations

Peers

Noelia Nebot
Comparison fields: 5 of 70
  • Genetics 80
  • Immunology and Allergy 39
  • Oncology 143
  • Hematology 51
  • Pharmacology 37
Replace Lori Capone with:
Lori Capone Switzerland
Swarupa G. Kulkarni United States
Hans-Peter Gschwind Switzerland
Susan M. Christner United States
Yi Ling Teo Singapore
Lisa Iacono United States
Chih‐Fen Huang Taiwan
Tomohide Tamura Japan
Jean-Pierre Bizzari France
Maura A. Kraynak United States
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Citations per field
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Citations per year

Countries citing papers authored by Noelia Nebot

Since Specialization
Citations

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

Fields of papers citing papers by Noelia Nebot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201075
2 201974
3 201960
4 201353
5 201340
6 201336
7 201818
8 201814
9 201613
10 201212
11 201712
12 201010
13 201810
14 20214
15 20154
16 20123
17 20161

About Noelia Nebot

Noelia Nebot is a scholar working on Molecular Biology, Oncology, Neurology, Organic Chemistry and Genetics, having authored 17 papers that have together received 439 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (8 papers), Colorectal Cancer Treatments and Studies (4 papers), Neuroblastoma Research and Treatments (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Cancer Treatment and Pharmacology (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (80 citations), Immunology and Allergy (39 citations), Oncology (143 citations), Hematology (51 citations) and Pharmacology (37 citations). Noelia Nebot has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael T. Murray, David E. Hibbs, Bruce N. Tattam, Séverine Crettol, Stanley W. Carson, Danièle Ouellet, James A. Whitlock, Ruth Plummer, Gabriel Mak and Darren Hargrave. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Clinical Pharmacology, Drug Metabolism and Disposition, Clinical Cancer Research and European Journal of Cancer.

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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