Nicole Fer

657 citations
8 papers · 344 · h-index 7

Impact in

    • Lung Cancer Research Studies
    • Cytokine Signaling Pathways and Interactions
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Protein Kinase Regulation and GTPase Signaling 2
    • Glutathione Transferases and Polymorphisms 1
    • Melanoma and MAPK Pathways 1
    • Lung Cancer Research Studies 2
    • Cytokine Signaling Pathways and Interactions 1

Nicole Fer

8 papers receiving 342 citations

Peers

Nicole Fer
Comparison fields: 5 of 55
  • Oncology 191
  • Cancer Research 69
  • Immunology 65
  • Molecular Biology 211
  • Cell Biology 28
Replace Takao Yamori with:
Takao Yamori Japan
Rui‐xia Sun China
Kin‐Fai Cheung Hong Kong
Michael W. Potter United States
Hélène Malka-Mahieu France
Katherine T. Ostapoff United States
Lucia García-Gutiérrez Spain
Bi‐Jun Huang China
Patrick Reichl Austria
Himavanth R. Gatla United States
Nicole Fer relative to Takao Yamori Japan Takao Yamori's profile →
Citations per field
00.5×10.5×
Takao Yamori · 1×
Citations per year

Countries citing papers authored by Nicole Fer

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Fer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2016106
2 201973
3 201363
4 201743
5 201323
6 202218
7 201016
8 20242

About Nicole Fer

Nicole Fer is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Genetics, having authored 8 papers that have together received 344 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Lung Cancer Research Studies (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Computational Drug Discovery Methods (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Oncology (191 citations), Cancer Research (69 citations), Immunology (65 citations), Molecular Biology (211 citations) and Cell Biology (28 citations). Nicole Fer has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Giovanni Melillo, Frank McCormick, Annamaria Rapisarda, Anne Monks, Jacqueline Galeas, Eric A. Collisson, Sung Eun Kim, Jeremy Sharib, David M. Evans and Gurmeet Kaur. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Investigational New Drugs, Nature Communications, Journal of Clinical Investigation and Science Signaling.

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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