Danielle Kwiatkowski

486 citations
5 papers · 88 · h-index 4

Impact in

    • Cancer survivorship and care
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • Breast Cancer Treatment Studies

Papers in

    • HER2/EGFR in Cancer Research 2
    • Lung Cancer Research Studies 1
    • Cancer Treatment and Pharmacology 1
    • Cancer survivorship and care 1
    • Cancer-related Molecular Pathways 1
    • Advanced Breast Cancer Therapies 3

Danielle Kwiatkowski

4 papers receiving 87 citations

Peers

Danielle Kwiatkowski
Comparison fields: 5 of 35
  • Oncology 40
  • Cancer Research 11
  • Pulmonary and Respiratory Medicine 12
  • Genetics 4
  • Pediatrics, Perinatology and Child Health 6
Replace J. Salvador with:
J. Salvador Spain
B Leeneman Netherlands
Jasmine C. Huynh United States
Lucia Copáková Slovakia
Carmélia Maria Noia Barreto Brazil
Brent Coffey United States
Cristina Gil Spain
Ljiljana Stamatović Serbia
M. Toi Japan
Geoffrey Fell United States
Danielle Kwiatkowski relative to J. Salvador Spain J. Salvador's profile →
Citations per field
00.5×2.7×
J. Salvador · 1×
Citations per year

Countries citing papers authored by Danielle Kwiatkowski

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Kwiatkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 201345
2 201428
3 202512
4 20213
5 20250

About Danielle Kwiatkowski

Danielle Kwiatkowski is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 88 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (3 papers), HER2/EGFR in Cancer Research (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Lung Cancer Research Studies (1 paper), Cancer Treatment and Pharmacology (1 paper), Cancer survivorship and care (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Oncology (40 citations), Cancer Research (11 citations), Pulmonary and Respiratory Medicine (12 citations), Genetics (4 citations) and Pediatrics, Perinatology and Child Health (6 citations). Danielle Kwiatkowski has collaborated with scholars based in United States and Germany. Frequent co-authors include Gabriel N. Hortobágyi, Mark F. Munsell, Karin Hahn, Jennifer K. Litton, Lynne Nguyen, Phuong K. Morrow, Carol Rosenblum, Leslie R. Schover, A. Broxson and Limin Hsu. Their work appears in journals such as Clinical Cancer Research, Journal of Clinical Oncology, Clinical Breast Cancer and npj Breast 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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