Danielle Croucher

510 citations
16 papers · 110 · h-index 6

Impact in

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

Papers in

    • Chemokine receptors and signaling 2
    • Multiple Myeloma Research and Treatments 5
    • Acute Myeloid Leukemia Research 1

Danielle Croucher

14 papers receiving 109 citations

Peers

Danielle Croucher
Comparison fields: 5 of 33
  • Hematology 24
  • Oncology 44
  • Health Informatics 2
  • Toxicology 4
  • Pathology and Forensic Medicine 18
Replace Ramona Crescenzo with:
Ramona Crescenzo United States
Shaobu Weng United States
Jade Bryant United States
Kanthinh Manivong United States
J.J. Soto Castillo Spain
M. Garcia France
Elizabeth Lieschke Australia
Keith Calkins Switzerland
Haixiang Cao China
Jessica L. Minder United States
Danielle Croucher relative to Ramona Crescenzo United States Ramona Crescenzo's profile →
Citations per field
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Ramona Crescenzo · 1×
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

16 of 16 papers shown
#Work
1 201331
2 202122
3 201614
4 202010
5 20187
6 20176
7 20235
8 20245
9 20183
10 20132
11 20251
12 20241
13 20231
14 20111
15 20111
16 20250

About Danielle Croucher

Danielle Croucher is a scholar working on Oncology, Hematology, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 16 papers that have together received 110 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), Radiomics and Machine Learning in Medical Imaging (2 papers), Prostate Cancer Treatment and Research (2 papers), Chemokine receptors and signaling (2 papers), Acute Myeloid Leukemia Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hematology (24 citations), Oncology (44 citations), Health Informatics (2 citations), Toxicology (4 citations) and Pathology and Forensic Medicine (18 citations). Danielle Croucher has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Suzanne Trudel, Víctor H. Jiménez‐Zepeda, Sina Haftchenary, Brent D. G. Page, Ellen Wei, Zhihua Li, Trevor J. Pugh, Patrick T. Gunning, Sangeeta Mehta and Zhihua Li. Their work appears in journals such as Blood, Journal of Clinical Oncology, Molecular Cancer Therapeutics, Canadian Respiratory Journal and Journal of Medicinal Chemistry.

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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