Helen Moore
- Modeling and Simulation top 2%
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments 6
- Aging top 10%
- Endocrine and Autonomic Systems top 10%
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 6
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- Cancer Genomics and Diagnostics 4
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- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
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- Lymphoma Diagnosis and Treatment 4
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- Botulinum Toxin and Related Neurological Disorders 3
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- Health Systems, Economic Evaluations, Quality of Life 3
- Co-authors
- David WhitmoreSuzanne LenhartKhalid TobalHeddy ZolaMamta GargJohn A. Liu YinJim VaughtNicole C. Lockhart
- Journals
- CPT Pharmacometrics & Systems Pharmacology (3 papers)PLoS ONE (2 papers)Journal of Theoretical Biology (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Helen Moore
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 138
- Modeling and Simulation 151
- Hematology 199
- Aging 27
- Endocrine and Autonomic Systems 88
- Genetics 138
Countries citing papers authored by Helen Moore
This map shows the geographic impact of Helen 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 Helen Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Moore more than expected).
Fields of papers citing papers by Helen Moore
This network shows the impact of papers produced by Helen 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 Helen Moore. The network helps show where Helen Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Helen Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 1 | |
| 6 | 2018 | 34 | |
| 7 | 2018 | 14 | |
| 8 | 2018 | 11 | |
| 9 | 2014 | 82 | |
| 10 | 2013 | 7 | |
| 11 | 2013 | 15 | |
| 12 | 2013 | 42 | |
| 13 | 2012 | 1 | |
| 14 | 2011 | 87 | |
| 15 | 2010 | 71 | |
| 16 | 2007 | 87 | |
| 17 | 2005 | 42 | |
| 18 | 2005 | 7 | |
| 19 | 2001 | 30 | |
| 20 | 1984 | 3 |
About Helen Moore
Helen Moore is a scholar working on Hematology, Internal Medicine and Genetics, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Cancer Genomics and Diagnostics (4 papers), T-cell and B-cell Immunology (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Modeling and Simulation (151 citations), Hematology (199 citations) and Aging (27 citations). Helen Moore has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David Whitmore, Suzanne Lenhart, Khalid Tobal, Heddy Zola, Mamta Garg, John A. Liu Yin, Jim Vaught, Nicole C. Lockhart, Urszula Ledzewicz and Carolyn C. Compton. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, PLoS ONE, Journal of Theoretical Biology, American Journal of Epidemiology and Australian and New Zealand Journal of Public Health.
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.