Molly A. Hall

827 total citations
30 papers, 443 citations indexed

About

Molly A. Hall is a scholar working on Molecular Biology, Genetics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Molly A. Hall has authored 30 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Genetics and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Molly A. Hall's work include Genetic Associations and Epidemiology (11 papers), Health, Environment, Cognitive Aging (7 papers) and Bioinformatics and Genomic Networks (5 papers). Molly A. Hall is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Health, Environment, Cognitive Aging (7 papers) and Bioinformatics and Genomic Networks (5 papers). Molly A. Hall collaborates with scholars based in United States, United Kingdom and Austria. Molly A. Hall's co-authors include Marylyn D. Ritchie, Jason H. Moore, Sarah A. Pendergrass, Brian Cole, Diane Gilbert‐Diamond, Dana C. Crawford, Ryan J. Urbanowicz, Robert Goodloe, Catherine A. McCarty and David M. Balshaw and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Molly A. Hall

25 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Molly A. Hall United States 13 174 148 117 70 41 30 443
Erin B. Ware United States 15 175 1.0× 175 1.2× 59 0.5× 42 0.6× 69 1.7× 65 635
Donna Eng United States 7 90 0.5× 40 0.3× 81 0.7× 34 0.5× 28 0.7× 9 510
Saša Missoni Croatia 15 84 0.5× 117 0.8× 29 0.2× 102 1.5× 54 1.3× 48 472
Douglas Lording Australia 13 147 0.8× 112 0.8× 32 0.3× 75 1.1× 28 0.7× 22 880
Sonja Kunze Germany 10 338 1.9× 77 0.5× 138 1.2× 23 0.3× 65 1.6× 15 552
Alicja Kamińska Poland 13 89 0.5× 103 0.7× 27 0.2× 41 0.6× 26 0.6× 40 442
Chao A. Hsiung Taiwan 14 188 1.1× 77 0.5× 219 1.9× 19 0.3× 22 0.5× 32 623
He Gao United Kingdom 12 134 0.8× 105 0.7× 33 0.3× 118 1.7× 101 2.5× 25 595
Drew R. Nannini United States 15 185 1.1× 40 0.3× 41 0.4× 39 0.6× 47 1.1× 36 517
Olga A. Vsevolozhskaya United States 11 103 0.6× 52 0.4× 56 0.5× 43 0.6× 51 1.2× 32 437

Countries citing papers authored by Molly A. Hall

Since Specialization
Citations

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

Fields of papers citing papers by Molly A. Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Molly A. Hall. 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 Molly A. Hall. The network helps show where Molly A. Hall may publish in the future.

Co-authorship network of co-authors of Molly A. Hall

This figure shows the co-authorship network connecting the top 25 collaborators of Molly A. Hall. A scholar is included among the top collaborators of Molly A. Hall 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 Molly A. Hall. Molly A. Hall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Yuanting, Manash Chakraborty, Imhoi Koo, et al.. (2025). Itaconate promotes the differentiation of murine stress erythroid progenitors by increasing Nrf2 activity. PubMed. 1(1). 100001–100001. 1 indexed citations
2.
Kim, Dokyoon, et al.. (2024). Differential effects of environmental exposures on clinically relevant endophenotypes between sexes. Scientific Reports. 14(1). 21453–21453. 1 indexed citations
3.
Chitre, Apurva S., Jiayan Zhou, Molly A. Hall, et al.. (2024). PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies. BioData Mining. 17(1). 41–41.
4.
5.
Markus, Havell, Mechelle M. Lewis, Vishal Midya, et al.. (2023). Neuronally enriched microvesicle RNAs are differentially expressed in the serums of Parkinson’s patients. Frontiers in Neuroscience. 17. 7 indexed citations
6.
7.
Qian, Fenghua, Jiayan Zhou, Molly A. Hall, et al.. (2023). Activation of GPR44 decreases severity of myeloid leukemia via specific targeting of leukemia initiating stem cells. Cell Reports. 42(7). 112794–112794. 4 indexed citations
8.
Hastings, Waylon J., Molly A. Hall, Christine Heim, et al.. (2022). Obesity and accelerated epigenetic aging in a high-risk cohort of children. Scientific Reports. 12(1). 8328–8328. 32 indexed citations
9.
Lee, Brian, et al.. (2022). Sex Differences in the Metabolome of Alzheimer's Disease Progression. SHILAP Revista de lepidopterología. 2. 12 indexed citations
10.
Li, Lingyao, Jiayan Zhou, Zihui Ma, et al.. (2022). Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data. Journal of Biomedical Informatics. 129. 104054–104054. 13 indexed citations
11.
Hall, Molly A., et al.. (2021). Hypothalamic-pituitary-adrenal axis attenuation and obesity risk in sexually abused females. Psychoneuroendocrinology. 129. 105254–105254. 12 indexed citations
12.
Zhou, Jiayan, et al.. (2020). Investigation of gene-gene interactions in cardiac traits and serum fatty acid levels in the LURIC Health Study. PLoS ONE. 15(9). e0238304–e0238304. 5 indexed citations
13.
Ratmann, Oliver, M. Kate Grabowski, Molly A. Hall, et al.. (2019). High prevalence fishing communities are not a major source of new HIV infections to the inland populations in Rakai District, Uganda: implications for geo-spatially targeted HIV prevention interventions. Journal of the International AIDS Society. 21. 70–71. 1 indexed citations
14.
Lucas, Anastasia, et al.. (2019). CLARITE Facilitates the Quality Control and Analysis Process for EWAS of Metabolic-Related Traits. Frontiers in Genetics. 10. 1240–1240. 12 indexed citations
15.
Hall, Molly A., John R. Wallace, Anastasia Lucas, et al.. (2017). PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies. Nature Communications. 8(1). 1167–1167. 21 indexed citations
16.
Hall, Molly A., Jason H. Moore, & Marylyn D. Ritchie. (2016). Embracing Complex Associations in Common Traits: Critical Considerations for Precision Medicine. Trends in Genetics. 32(8). 470–484. 17 indexed citations
17.
Li, Ruowang, Scott Dudek, Dokyoon Kim, et al.. (2016). Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. BioData Mining. 9(1). 18–18. 6 indexed citations
18.
Pendergrass, Sarah A., et al.. (2015). Phenome-Wide Association Studies: Embracing Complexity for Discovery. Human Heredity. 79(3-4). 111–123. 12 indexed citations
19.
Verma, Shefali S., Fotios Drenos, Emily Holzinger, et al.. (2015). Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). BioData Mining. 8(1). 41–41. 13 indexed citations
20.
Hall, Molly A., Anurag Verma, Kristin Brown‐Gentry, et al.. (2014). Detection of Pleiotropy through a Phenome-Wide Association Study (PheWAS) of Epidemiologic Data as Part of the Environmental Architecture for Genes Linked to Environment (EAGLE) Study. PLoS Genetics. 10(12). e1004678–e1004678. 52 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Erin B. Ware Breakdown of academic impact, for papers by Donna Eng Breakdown of academic impact, for papers by Saša Missoni Breakdown of academic impact, for papers by Douglas Lording Breakdown of academic impact, for papers by Sonja Kunze Breakdown of academic impact, for papers by Alicja Kamińska Breakdown of academic impact, for papers by Chao A. Hsiung Breakdown of academic impact, for papers by He Gao Breakdown of academic impact, for papers by Drew R. Nannini Breakdown of academic impact, for papers by Olga A. Vsevolozhskaya
Rankless by CCL
2026