Daisy Moreno

617 citations
9 papers · 430 · h-index 7

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 8
    • Acute Myeloid Leukemia Research 3
    • Platelet Disorders and Treatments 1
    • Chronic Lymphocytic Leukemia Research 7

Daisy Moreno

8 papers receiving 423 citations

Peers

Daisy Moreno
Comparison fields: 5 of 46
  • Hematology 201
  • Genetics 174
  • Gastroenterology 57
  • Pathology and Forensic Medicine 70
  • Rheumatology 54
Replace Elizabeth Hall–Meyers with:
Elizabeth Hall–Meyers United States
Zhifu Xiang United States
Qurish K. Mohemmad United States
Nathalie Javidi‐Sharifi United States
Diana F. Sabath United States
Catriona Byrne United States
Stefan Norin Sweden
Lurdes Torres Portugal
Stéphanie Guidez France
Ju-Hee Bang South Korea
Daisy Moreno relative to Elizabeth Hall–Meyers United States Elizabeth Hall–Meyers's profile →
Citations per field
00.5×3.9×
Elizabeth Hall–Meyers · 1×
Citations per year

Countries citing papers authored by Daisy Moreno

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Moreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2007104
2 200679
3 200675
4 200766
5 200865
6 200828
7 201012
8 20061
9
Beneficial Effects of Combining Nilotinib and Imatinib in Preclinical Models of BCR/ABL+ Leukemias Nilotinib and Imatinib Against Bcr-Abl+ Leukemia
20160

About Daisy Moreno

Daisy Moreno is a scholar working on Hematology, Genetics, Molecular Biology, Pathology and Forensic Medicine and Rheumatology, having authored 9 papers that have together received 430 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Acute Myeloid Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Gastrointestinal Tumor Research and Treatment (1 paper), Cancer therapeutics and mechanisms (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Hematology (201 citations), Genetics (174 citations), Gastroenterology (57 citations), Pathology and Forensic Medicine (70 citations) and Rheumatology (54 citations). Daisy Moreno has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Elizabeth Hall–Meyers, Renee D. Wright, James D. Griffin, Andrew L. Kung, Arghya Ray, Ellen Weisberg, Jingrui Jiang, Laurie Catley, Doriano Fabbro and Paul W. Manley. Their work appears in journals such as Blood, Molecular Cancer Therapeutics and Gastroenterology.

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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