Janice McCarthy

1.3k total citations · 1 hit paper
15 papers, 992 citations indexed

About

Janice McCarthy is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Janice McCarthy has authored 15 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Janice McCarthy's work include Hemoglobinopathies and Related Disorders (4 papers), Iron Metabolism and Disorders (4 papers) and HIV/AIDS Research and Interventions (3 papers). Janice McCarthy is often cited by papers focused on Hemoglobinopathies and Related Disorders (4 papers), Iron Metabolism and Disorders (4 papers) and HIV/AIDS Research and Interventions (3 papers). Janice McCarthy collaborates with scholars based in United States, United Kingdom and South Africa. Janice McCarthy's co-authors include Cecilia Bucci, Bo van Deurs, Peter Thomsen, John Old, Shirley Henderson, Adele Timbs, Anna Schuh, Andrew S. Allen, Alison May and Chaitanya R. Acharya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Molecular Biology of the Cell.

In The Last Decade

Janice McCarthy

13 papers receiving 970 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rab7: A Key to Lysosome Biogenesis

2000 859 citations Cecilia Bucci, Peter Thomsen et al. Molecular Biology of the Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Janice McCarthy United States	7	490	436	182	169	139	15	992
Sabine Kupzig United Kingdom	16	302 0.6×	735 1.7×	286 1.6×	196 1.2×	37 0.3×	24	1.4k
Georg F. Vogel Austria	16	395 0.8×	413 0.9×	107 0.6×	95 0.6×	79 0.6×	36	987
Clemens W. Ostrowicz Germany	8	842 1.7×	823 1.9×	190 1.0×	232 1.4×	266 1.9×	9	1.3k
Wataru Nunomura Japan	21	321 0.7×	547 1.3×	627 3.4×	66 0.4×	45 0.3×	58	1.4k
Tony Rowe United States	16	1.6k 3.2×	1.3k 3.0×	254 1.4×	157 0.9×	154 1.1×	27	2.1k
Eva Loh Singapore	17	343 0.7×	395 0.9×	136 0.7×	97 0.6×	73 0.5×	24	795
Aitor Hierro Spain	16	676 1.4×	757 1.7×	203 1.1×	138 0.8×	142 1.0×	28	1.2k
Kota Saito Japan	20	1.1k 2.2×	1.1k 2.5×	167 0.9×	211 1.2×	71 0.5×	34	1.8k
Carole L. Moncman United States	24	288 0.6×	666 1.5×	80 0.4×	183 1.1×	13 0.1×	44	1.4k
Lars Langemeyer Germany	18	922 1.9×	814 1.9×	224 1.2×	295 1.7×	293 2.1×	27	1.4k

Countries citing papers authored by Janice McCarthy

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Janice McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Janice McCarthy. A scholar is included among the top collaborators of Janice McCarthy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Janice McCarthy. Janice McCarthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Poteat, Tonia, Yi Liu, Darrin Adams, et al.. (2025). Social determinants of HIV status and viral load suppression among transgender women in South Africa: a cross-sectional analysis. AIDS Care. 37(9). 1507–1520.

Berendam, Stella J., George M. Shaw, Katharine J. Bar, et al.. (2024). Assessing the impact of autologous virus neutralizing antibodies on viral rebound time in postnatally SHIV-infected ART-treated infant rhesus macaques. Epidemics. 48. 100780–100780. 1 indexed citations

Li, Kan, et al.. (2023). Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding. Analytical Biochemistry. 679. 115263–115263. 4 indexed citations

McCarthy, Janice, et al.. (2022). A simple model for viral decay dynamics and the distribution of infected cell life spans in SHIV-infected infant rhesus macaques. Mathematical Biosciences. 356. 108958–108958. 3 indexed citations

Zhang, Mengqi, Sahar Gelfman, Cristiane Araújo Martins Moreno, et al.. (2021). Focused goodness of fit tests for gene set analyses. Briefings in Bioinformatics. 23(1).

Gelfman, Sahar, Janice McCarthy, Matthew Harms, et al.. (2020). Incorporating external information to improve sparse signal detection in rare‐variant gene‐set‐based analyses. Genetic Epidemiology. 44(4). 330–338. 4 indexed citations

Old, John, Adele Timbs, Janice McCarthy, et al.. (2018). New Challenges in Diagnosis of Haemoglobinopathies: Migration of Populations. SHILAP Revista de lepidopterología. 8(1). 7474–7474. 1 indexed citations

Iversen, Edwin S., Janice McCarthy, Kirsten B. Burdett, et al.. (2018). Bridging the gaps: using an NHP model to predict single dose radiation absorption in humans. International Journal of Radiation Biology. 96(1). 47–56. 7 indexed citations

Acharya, Chaitanya R., Janice McCarthy, Kouros Owzar, & Andrew S. Allen. (2016). Exploiting expression patterns across multiple tissues to map expression quantitative trait loci. BMC Bioinformatics. 17(1). 257–257. 10 indexed citations

10.

McCarthy, Janice, Josée Dupuis, L. Adrienne Cupples, et al.. (2016). Robust analysis of secondary phenotypes in case‐control genetic association studies. Statistics in Medicine. 35(23). 4226–4237. 7 indexed citations

11.

Henderson, Shirley, Adele Timbs, Janice McCarthy, et al.. (2015). Ten Years of Routineα- andβ-Globin Gene Sequencing in UK Hemoglobinopathy Referrals Reveals 60 Novel Mutations. Hemoglobin. 40(2). 75–84. 30 indexed citations

12.

Jiang, Yu, Janice McCarthy, & Andrew S. Allen. (2015). Testing the Effect of Rare Compound‐Heterozygous and Recessive Mutations in Case–Parent Sequencing Studies. Genetic Epidemiology. 39(3). 166–172. 3 indexed citations

13.

Henderson, Shirley, Adele Timbs, Janice McCarthy, et al.. (2009). Incidence of haemoglobinopathies in various populations — The impact of immigration. Clinical Biochemistry. 42(18). 1745–1756. 45 indexed citations

14.

Dreau, Hélène, Janice McCarthy, Adele Timbs, et al.. (2009). Multiplex Ligation-Dependent Probe Amplification Identification of 17 Different β-Globin Gene Deletions (Including Four Novel Mutations) in the Uk Population. Hemoglobin. 33(6). 406–416. 18 indexed citations

15.

Bucci, Cecilia, et al.. (2000). Rab7: A Key to Lysosome Biogenesis. Molecular Biology of the Cell. 11(2). 467–480. 859 indexed citations breakdown →

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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