Gregory R. Smith

1.8k total citations
26 papers, 726 citations indexed

About

Gregory R. Smith is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Gregory R. Smith has authored 26 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Ecology and 5 papers in Plant Science. Recurrent topics in Gregory R. Smith's work include Bacteriophages and microbial interactions (6 papers), Single-cell and spatial transcriptomics (5 papers) and Muscle Physiology and Disorders (4 papers). Gregory R. Smith is often cited by papers focused on Bacteriophages and microbial interactions (6 papers), Single-cell and spatial transcriptomics (5 papers) and Muscle Physiology and Disorders (4 papers). Gregory R. Smith collaborates with scholars based in United States, Canada and Germany. Gregory R. Smith's co-authors include Stuart C. Sealfon, Frederique Ruf-Zamojski, Venugopalan D. Nair, Lan Zhou, Scott A. Givan, Paul J. Cullen, G. F. Sprague, Elena Zaslavsky, Lu Xie and Russell Schwartz and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Gregory R. Smith

25 papers receiving 706 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 R. Smith United States 12 474 99 88 87 79 26 726
Brian E. Fee United States 15 422 0.9× 53 0.5× 97 1.1× 55 0.6× 60 0.8× 26 730
Eric Sekyere Australia 17 521 1.1× 42 0.4× 129 1.5× 75 0.9× 93 1.2× 23 888
Diane Tabarini United States 8 438 0.9× 163 1.6× 97 1.1× 92 1.1× 44 0.6× 10 749
Soyeong Sim United States 18 817 1.7× 72 0.7× 184 2.1× 123 1.4× 63 0.8× 32 1.1k
Claudio Carta Italy 19 776 1.6× 60 0.6× 311 3.5× 56 0.6× 53 0.7× 32 1.3k
Hannes Ebner Austria 16 311 0.7× 42 0.4× 52 0.6× 175 2.0× 66 0.8× 34 807
Kateřina Krejčíková Czechia 12 433 0.9× 172 1.7× 150 1.7× 30 0.3× 39 0.5× 12 743
Bertrand Kleizen Netherlands 13 652 1.4× 72 0.7× 96 1.1× 336 3.9× 112 1.4× 17 1.0k
Magali Richard France 13 309 0.7× 132 1.3× 33 0.4× 112 1.3× 68 0.9× 29 570
Shouguo Gao United States 16 444 0.9× 46 0.5× 155 1.8× 63 0.7× 37 0.5× 50 821

Countries citing papers authored by Gregory R. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Gregory R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory R. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory R. Smith. A scholar is included among the top collaborators of Gregory R. Smith 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 R. Smith. Gregory R. Smith 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.
Rubenstein, Aliza B., Gregory R. Smith, Zidong Zhang, et al.. (2025). Integrated single-cell multiome analysis reveals muscle fiber-type gene regulatory circuitry modulated by endurance exercise. Genome Research. 35(7). 1664–1677.
2.
Zhang, Zidong, Michel Zamojski, Gregory R. Smith, et al.. (2022). Single nucleus transcriptome and chromatin accessibility of postmortem human pituitaries reveal diverse stem cell regulatory mechanisms. Cell Reports. 38(10). 110467–110467. 37 indexed citations
3.
Wang, Xingyu, Jianming Chen, Sachiko Homma, et al.. (2022). Diverse effector and regulatory functions of fibro/adipogenic progenitors during skeletal muscle fibrosis in muscular dystrophy. iScience. 26(1). 105775–105775. 23 indexed citations
4.
Nair, Venugopalan D., Mital Vasoya, Gregory R. Smith, et al.. (2022). Optimization of the Omni-ATAC protocol to chromatin accessibility profiling in snap-frozen rat adipose and muscle tissues. MethodsX. 9. 101681–101681. 3 indexed citations
5.
Stern, Alan D., Gregory R. Smith, LETÍCIA VITÓRIA DA SILVA SANTOS, et al.. (2022). Relating individual cell division events to single-cell ERK and Akt activity time courses. Scientific Reports. 12(1). 18077–18077. 11 indexed citations
6.
Smith, Gregory R., et al.. (2022). Network inference from perturbation time course data. npj Systems Biology and Applications. 8(1). 42–42. 8 indexed citations
7.
Nair, Venugopalan D., Mital Vasoya, Gregory R. Smith, et al.. (2021). Differential analysis of chromatin accessibility and gene expression profiles identifies cis-regulatory elements in rat adipose and muscle. Genomics. 113(6). 3827–3841. 13 indexed citations
8.
Rubenstein, Aliza B., Gregory R. Smith, Ulrika Raue, et al.. (2020). Single-cell transcriptional profiles in human skeletal muscle. Scientific Reports. 10(1). 229–229. 194 indexed citations
10.
Wang, Xingyu, Adwait Amod Sathe, Gregory R. Smith, et al.. (2020). Heterogeneous origins and functions of mouse skeletal muscle-resident macrophages. Proceedings of the National Academy of Sciences. 117(34). 20729–20740. 76 indexed citations
11.
Ramos, Irene, Gregory R. Smith, Frederique Ruf-Zamojski, et al.. (2019). Innate Immune Response to Influenza Virus at Single-Cell Resolution in Human Epithelial Cells Revealed Paracrine Induction of Interferon Lambda 1. Journal of Virology. 93(20). 67 indexed citations
12.
Ruf-Zamojski, Frederique, Yongchao Ge, Venugopalan D. Nair, et al.. (2018). Single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity. Nucleic Acids Research. 46(21). 11370–11380. 15 indexed citations
13.
Bouhaddou, Mehdi, Emilce Carrasco, Gregory R. Smith, et al.. (2016). Drug response consistency in CCLE and CGP. Nature. 540(7631). E9–E10. 55 indexed citations
14.
Smith, Gregory R., Lu Xie, & Russell Schwartz. (2016). Modeling Effects of RNA on Capsid Assembly Pathways via Coarse-Grained Stochastic Simulation. PLoS ONE. 11(5). e0156547–e0156547. 6 indexed citations
15.
Smith, Gregory R. & Marc R. Birtwistle. (2016). A Mechanistic Beta-Binomial Probability Model for mRNA Sequencing Data. PLoS ONE. 11(6). e0157828–e0157828. 4 indexed citations
16.
Xie, Lu, Gregory R. Smith, & Russell Schwartz. (2016). Derivative-Free Optimization of Rate Parameters of Capsid Assembly Models from Bulk in Vitro Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14(4). 844–855. 2 indexed citations
17.
Xie, Lu, Gregory R. Smith, & Russell Schwartz. (2015). Applying Derivative-Free Optimization to Fit Kinetic Parameters of Viral Capsid Self-Assembly Models from Multi-Source Bulk in vitro Data. Biophysical Journal. 108(2). 470a–471a. 1 indexed citations
18.
Smith, Gregory R., Lu Xie, Byoungkoo Lee, & Russell Schwartz. (2014). Applying Molecular Crowding Models to Simulations of Virus Capsid Assembly In Vitro. Biophysical Journal. 106(1). 310–320. 26 indexed citations
19.
Smith, Gregory R., Lu Xie, Byoungkoo Lee, & Russell Schwartz. (2014). Evaluating the Influence of Environment on Virus Capsid Assembly Pathways through Stochastic Simulation. Biophysical Journal. 106(2). 61a–61a. 1 indexed citations
20.
Xie, Lu, Gregory R. Smith, Xian Feng, & Russell Schwartz. (2012). Surveying Capsid Assembly Pathways through Simulation-Based Data Fitting. Biophysical Journal. 103(7). 1545–1554. 25 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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