Nicole E. Willmarth

2.9k citations
23 papers · 1.2k · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways

Papers in

    • Cancer Cells and Metastasis 3
    • HER2/EGFR in Cancer Research 3
    • Cytokine Signaling Pathways and Interactions 3
    • Cancer-related Molecular Pathways 2
    • Glycosylation and Glycoproteins Research 2

Nicole E. Willmarth

22 papers receiving 1.2k citations

Peers

Nicole E. Willmarth
Comparison fields: 5 of 93
  • Cancer Research 349
  • Oncology 449
  • Molecular Biology 599
  • Hematology 81
  • Immunology 143
Replace Mika K. Derynck with:
Mika K. Derynck United States
Miguel Quintela-Fandiño Spain
Naofumi Kagara Japan
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Hugues Ripoche France
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Citations per field
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Citations per year

Countries citing papers authored by Nicole E. Willmarth

Since Specialization
Citations

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

Fields of papers citing papers by Nicole E. Willmarth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010202
2 2010177
3 2006130
4 2010119
5 200373
6 201067
7 200866
8 200755
9 200447
10 200344
11 200842
12 200938
13 202434
14 201429
15 201925
16 200424
17 200516
18 202311
19 202011
20 20216

About Nicole E. Willmarth

Nicole E. Willmarth is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (3 papers), NF-κB Signaling Pathways (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer-related cognitive impairment studies (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (349 citations), Oncology (449 citations), Molecular Biology (599 citations), Hematology (81 citations) and Immunology (143 citations). Nicole E. Willmarth has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Stephen P. Ethier, Richard G. Pestell, Sanjay Katiyar, Michael P. Lisanti, Xuanmao Jiao, Andrew A. Quong, Manran Liu, Zuoren Yu, Mathew C. Casimiro and Jie Zhou. Their work appears in journals such as Neuro-Oncology, Journal of Biological Chemistry, Cancer Research, Transplantation and Journal of Clinical 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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