Danielle Cain

557 citations
4 papers · 479 · h-index 4

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 2
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 1
    • Chronic Myeloid Leukemia Treatments 3

Danielle Cain

4 papers receiving 467 citations

Peers

Danielle Cain
Comparison fields: 5 of 34
  • Hematology 252
  • Genetics 163
  • Rheumatology 120
  • Oncology 179
  • Immunology 98
Replace Sachie Marubayashi with:
Sachie Marubayashi United States
F-X Mahon France
D. C. van der Plas Netherlands
Nils Hansen Sweden
Michela Rondoni Italy
Koorosh Korfi United Kingdom
Daisy Moreno United States
Matthew S. Zabriskie United States
Eva Eckelhart Austria
Jutta Deininger United States
Danielle Cain relative to Sachie Marubayashi United States Sachie Marubayashi's profile →
Citations per field
00.5×1.5×
Sachie Marubayashi · 1×
Citations per year

Countries citing papers authored by Danielle Cain

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Cain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown

About Danielle Cain

Danielle Cain is a scholar working on Genetics, Hematology, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 4 papers that have together received 479 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Kruppel-like factors research (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), Mycobacterium research and diagnosis (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Eosinophilic Disorders and Syndromes (1 paper). The work is most often cited by research in Hematology (252 citations), Genetics (163 citations), Rheumatology (120 citations), Oncology (179 citations) and Immunology (98 citations). Danielle Cain has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Ifor R. Williams, Jon C. Aster, D. Gary Gilliland, Juerg Schwaller, James N. Ihle, Chien‐Kuo Lee, Demin Wang, Evan Parganas, Julie Frantsve‐Hawley and Ema Anastasiadou. Their work appears in journals such as Blood, Journal of Clinical Investigation and Molecular Cell.

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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