Nancy Moore

535 citations
14 papers · 138 · h-index 6

Impact in

    • Hemoglobinopathies and Related Disorders
    • Iron Metabolism and Disorders
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments

Papers in

    • Hemophilia Treatment and Research 3
    • Platelet Disorders and Treatments 2
    • Blood Coagulation and Thrombosis Mechanisms 2
    • Protein Degradation and Inhibitors 1

Nancy Moore

11 papers receiving 137 citations

Peers

Nancy Moore
Comparison fields: 5 of 43
  • Genetics 47
  • Hematology 42
  • Oncology 33
  • Biological Psychiatry 2
  • Pulmonary and Respiratory Medicine 24
Replace Takayasu Kato with:
Takayasu Kato Japan
Ivelise Rijo United States
Federico De Marchi United States
Kyriaki Manousou Greece
Sravanthi Lavu United States
Chiara Pavoni Italy
Anupkumar George Australia
Lauren S. Koepke United States
José Antonio Queizán Spain
Sivahari Prasad Gorantla Germany
Nancy Moore relative to Takayasu Kato Japan Takayasu Kato's profile →
Citations per field
00.5×1.6×
Takayasu Kato · 1×
Citations per year

Countries citing papers authored by Nancy Moore

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201738
2 202133
3 201622
4 201511
5 201510
6 20179
7 20165
8 20223
9 20153
10 20193
11 20231
12 20260
13 20240
14 20180

About Nancy Moore

Nancy Moore is a scholar working on Hematology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 14 papers that have together received 138 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (3 papers), Hemophilia Treatment and Research (3 papers), Bone Tumor Diagnosis and Treatments (2 papers), Platelet Disorders and Treatments (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Cancer Genomics and Diagnostics (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Genetics (47 citations), Hematology (42 citations), Oncology (33 citations), Biological Psychiatry (2 citations) and Pulmonary and Respiratory Medicine (24 citations). Nancy Moore has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Sriram Krishnamoorthy, David R. Light, William E. Hobbs, Dipti Gupta, Julia E. Brittain, James H. Doroshow, Geraldine O’Sullivan Coyne, Elad Sharon, Ivan J. Stone and Alice P. Chen. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Surgical Oncology, Cancer Chemotherapy and Pharmacology and British Journal of Haematology.

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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