Danielle Croucher

485 citations
15 papers · 100 · h-index 6

Impact in

    • Multiple Myeloma Research and Treatments
    • Cytokine Signaling Pathways and Interactions
    • Neutropenia and Cancer Infections
    • CAR-T cell therapy research

Papers in

    • Chemokine receptors and signaling 2
    • Multiple Myeloma Research and Treatments 5

Danielle Croucher

13 papers receiving 100 citations

Peers

Danielle Croucher
Comparison fields: 5 of 36
  • Hematology 26
  • Oncology 49
  • Toxicology 4
  • Pathology and Forensic Medicine 19
  • Genetics 8
Replace Kathleen Stabla with:
Kathleen Stabla Germany
Jade Bryant United States
Ramona Crescenzo United States
Errin Samuëlsz United States
Jorge Vaz Pinto Neto Brazil
Hiba Ahmad Zahreddine Canada
Bonnie Le United States
Katie Parker United States
James Hayden United Kingdom
Estíbaliz Miranda Spain
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Citations per field
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Citations per year

Countries citing papers authored by Danielle Croucher

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Croucher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201330
2 202120
3 201613
4 202010
5 20187
6 20235
7 20175
8 20183
9 20242
10 20132
11 20231
12 20111
13 20111
14 20240
15 20250

About Danielle Croucher

Danielle Croucher is a scholar working on Oncology, Hematology, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 15 papers that have together received 100 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Prostate Cancer Treatment and Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Chemokine receptors and signaling (2 papers), Single-cell and spatial transcriptomics (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Hematology (26 citations), Oncology (49 citations), Toxicology (4 citations), Pathology and Forensic Medicine (19 citations) and Genetics (8 citations). Danielle Croucher has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Suzanne Trudel, Trevor J. Pugh, Brent D. G. Page, Zhihua Li, Patrick T. Gunning, Sina Haftchenary, Aaron D. Schimmer, P. Leif Bergsagel, Sangeeta Mehta and Marta Chesi. Their work appears in journals such as Blood, Molecular Cancer Therapeutics, Journal of Clinical Oncology, Canadian Respiratory Journal and European Urology 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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