Gregory W. Carter

3.3k total citations
75 papers, 1.4k citations indexed

About

Gregory W. Carter is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Gregory W. Carter has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 26 papers in Physiology and 17 papers in Genetics. Recurrent topics in Gregory W. Carter's work include Bioinformatics and Genomic Networks (30 papers), Alzheimer's disease research and treatments (22 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Gregory W. Carter is often cited by papers focused on Bioinformatics and Genomic Networks (30 papers), Alzheimer's disease research and treatments (22 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Gregory W. Carter collaborates with scholars based in United States, Canada and United Kingdom. Gregory W. Carter's co-authors include Jennifer J. Smith, Sarah Killcoyne, John Boyle, Gareth R. Howell, Timothy Galitski, Christoph Preuß, Anna L. Tyler, Bo Ji, David J. Galas and Vésteinn Thórsson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Gregory W. Carter

68 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory W. Carter United States 22 849 350 273 200 132 75 1.4k
Benjamin A. Logsdon United States 21 712 0.8× 358 1.0× 381 1.4× 238 1.2× 116 0.9× 37 1.5k
Jaroslav Bendl United States 19 1.4k 1.6× 188 0.5× 510 1.9× 146 0.7× 112 0.8× 39 2.0k
Kuey Chu Chen United States 7 765 0.9× 445 1.3× 137 0.5× 164 0.8× 74 0.6× 7 1.2k
Juan Carlos Polanco Australia 13 823 1.0× 609 1.7× 182 0.7× 316 1.6× 184 1.4× 21 1.4k
James A. Eddy United States 17 948 1.1× 232 0.7× 325 1.2× 221 1.1× 135 1.0× 24 1.8k
Xusheng Wang United States 24 1.3k 1.5× 288 0.8× 193 0.7× 102 0.5× 112 0.8× 68 1.9k
Manor Askenazi United States 22 1.6k 1.9× 456 1.3× 120 0.4× 129 0.6× 167 1.3× 59 2.4k
Susan B. Roberts United States 22 893 1.1× 394 1.1× 175 0.6× 189 0.9× 64 0.5× 48 2.2k
Ying‐Wooi Wan United States 23 982 1.2× 281 0.8× 358 1.3× 306 1.5× 252 1.9× 51 1.8k

Countries citing papers authored by Gregory W. Carter

Since Specialization
Citations

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

Fields of papers citing papers by Gregory W. Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory W. Carter. 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 Gregory W. Carter. The network helps show where Gregory W. Carter may publish in the future.

Co-authorship network of co-authors of Gregory W. Carter

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory W. Carter. A scholar is included among the top collaborators of Gregory W. Carter 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 Gregory W. Carter. Gregory W. Carter 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.
Wang, Qiaochu, Xu Zou, Dana Tudorascu, et al.. (2025). Analysis of functional connectivity changes from childhood to old age: A study using HCP-D, HCP-YA, and HCP-A datasets. Imaging Neuroscience. 3.
2.
Tripathy, Rohit, et al.. (2025). Effective integration of multi-omics with prior knowledge to identify biomarkers via explainable graph neural networks. npj Systems Biology and Applications. 11(1). 43–43. 5 indexed citations
3.
Abel, Ted, et al.. (2024). Alzheimer’s disease multiomic signatures mediated by Cholesterol Ester Transfer Protein. Alzheimer s & Dementia. 20(S1). e090912–e090912.
4.
Cary, Gregory A., et al.. (2024). Prioritization of polygenic combinations for LOAD mouse models from ensemble machine learning on cross‐species transcriptomic signatures. Alzheimer s & Dementia. 20(S1). e091329–e091329. 1 indexed citations
5.
Szczupak, Diego, Bei Zhang, Daniel Papoti, et al.. (2024). MRI Assessment of Healthy Aging Trajectories in the Marmoset Brain. Alzheimer s & Dementia. 20(S2).
6.
Pandey, Ravi S., Matthias Arnold, Richa Batra, et al.. (2024). Metabolomics profiling reveals distinct, sex‐specific signatures in serum and brain metabolomes in mouse models of Alzheimer's disease. Alzheimer s & Dementia. 20(6). 3987–4001. 11 indexed citations
7.
Kotredes, Kevin P., Olga Minaeva, Ravi S. Pandey, et al.. (2024). Contributions of heavy metal exposure to late‐onset Alzheimer’s disease. Alzheimer s & Dementia. 20(S1). e091290–e091290.
8.
Lomoio, Selene, Ravi S. Pandey, Nicolas Rouleau, et al.. (2023). 3D bioengineered neural tissue generated from patient-derived iPSCs mimics time-dependent phenotypes and transcriptional features of Alzheimer’s disease. Molecular Psychiatry. 28(12). 5390–5401. 7 indexed citations
9.
Tyler, Anna L., Romy Kursawe, Annat Haber, et al.. (2023). Variation in histone configurations correlates with gene expression across nine inbred strains of mice. Genome Research. 33(6). 857–871. 1 indexed citations
10.
Barrington, William, Stephen P. Dearth, Gregory W. Carter, et al.. (2022). Independent and Interactive Effects of Genetic Background and Sex on Tissue Metabolomes of Adipose, Skeletal Muscle, and Liver in Mice. Metabolites. 12(4). 337–337.
11.
Tyler, Anna L., et al.. (2021). Effects of kinship correction on inflation of genetic interaction statistics in commonly used mouse populations. G3 Genes Genomes Genetics. 11(7). 3 indexed citations
12.
Oblak, Adrian L., Stefânia Forner, Paul R. Territo, et al.. (2020). Model organism development and evaluation for late‐onset Alzheimer's disease: MODEL‐AD. Alzheimer s & Dementia Translational Research & Clinical Interventions. 6(1). e12110–e12110. 62 indexed citations
13.
Preuß, Christoph, Annat Haber, Guruprasad Ananda, et al.. (2020). Transcriptomic stratification of late-onset Alzheimer's cases reveals novel genetic modifiers of disease pathology. PLoS Genetics. 16(6). e1008775–e1008775. 31 indexed citations
14.
Mukherjee, Sumit, Thanneer M. Perumal, Kenneth Daily, et al.. (2019). Identifying and ranking potential driver genes of Alzheimer’s disease using multiview evidence aggregation. Bioinformatics. 35(14). i568–i576. 13 indexed citations
15.
Tyler, Anna L., J. Matthew Mahoney, & Gregory W. Carter. (2019). Genetic Interactions Affect Lung Function in Patients with Systemic Sclerosis. G3 Genes Genomes Genetics. 10(1). 151–163. 6 indexed citations
16.
Onos, Kristen D., Asli Uyar, Christoph Preuß, et al.. (2019). Enhancing face validity of mouse models of Alzheimer’s disease with natural genetic variation. PLoS Genetics. 15(5). e1008155–e1008155. 66 indexed citations
17.
Baker, Christopher L., Michael Walker, Seda Arat, et al.. (2018). Tissue-Specific Trans Regulation of the Mouse Epigenome. Genetics. 211(3). 831–845. 10 indexed citations
18.
Wu, Jiang Wei, Christoph Preuß, Shu Pei Wang, et al.. (2017). Epistatic interaction between the lipase-encoding genes Pnpla2 and Lipe causes liposarcoma in mice. PLoS Genetics. 13(5). e1006716–e1006716. 37 indexed citations
19.
Tyler, Anna L. & Gregory W. Carter. (2017). Genetic interactions improve models of quantitative traits. Nature Genetics. 49(4). 486–488. 4 indexed citations
20.
Killcoyne, Sarah, Gregory W. Carter, Jennifer J. Smith, & John Boyle. (2009). Cytoscape: A Community-Based Framework for Network Modeling. Methods in molecular biology. 563. 219–239. 187 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.

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