Janice McCarthy
Impact in
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Erythrocyte Function and Pathophysiology
- Lysosomal Storage Disorders Research
- Cell Biology top 2%
- Cellular transport and secretion
Papers in
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- Iron Metabolism and Disorders 4
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- Bioinformatics and Genomic Networks 3
- Co-authors
- Peter Thomsen (1 shared paper)Bo van Deurs (1 shared paper)Cecilia Bucci (1 shared paper)Shirley Henderson (4 shared papers)John Old (4 shared papers)Adele Timbs (4 shared papers)Anna Schuh (2 shared papers)Alison May (1 shared paper)
- Journals
- Genetic Epidemiology (2 papers)Epidemics (1 paper)Molecular Biology of the Cell (1 paper)BMC Bioinformatics (1 paper)Mathematical Biosciences (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Janice McCarthy
13 papers receiving 970 citations
Janice McCarthy's Hit Papers
Peers
Comparison fields: 5 of 97
- Physiology 139
- Cell Biology 490
- Genetics 86
- Physiology 182
- Hematology 78
Countries citing papers authored by Janice McCarthy
This map shows the geographic impact of Janice McCarthy'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 Janice McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janice McCarthy more than expected).
Fields of papers citing papers by Janice McCarthy
This network shows the impact of papers produced by Janice McCarthy. 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 Janice McCarthy. The network helps show where Janice McCarthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Janice McCarthy, 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 | Rab7: A Key to Lysosome Biogenesis Hit paper breakdown → | 2000 | 859 |
| 2 | 2009 | 45 | |
| 3 | 2015 | 30 | |
| 4 | 2009 | 18 | |
| 5 | 2016 | 10 | |
| 6 | 2018 | 7 | |
| 7 | 2016 | 7 | |
| 8 | 2023 | 4 | |
| 9 | 2020 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2015 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2021 | 0 |
About Janice McCarthy
Janice McCarthy is a scholar working on Hematology, Molecular Biology, Genetics, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 992 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (4 papers), Iron Metabolism and Disorders (4 papers), HIV/AIDS Research and Interventions (3 papers), Prenatal Screening and Diagnostics (3 papers), Bioinformatics and Genomic Networks (3 papers), HIV Research and Treatment (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Physiology (139 citations), Cell Biology (490 citations), Genetics (86 citations), Physiology (182 citations) and Hematology (78 citations). Janice McCarthy has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Peter Thomsen, Bo van Deurs, Cecilia Bucci, Shirley Henderson, John Old, Adele Timbs, Anna Schuh, Alison May, Andrew S. Allen and Dariusz Dziedzic. Their work appears in journals such as Genetic Epidemiology, Epidemics, Molecular Biology of the Cell, BMC Bioinformatics and Mathematical Biosciences.
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.