Stephen A. Semick

819 total citations
7 papers, 317 citations indexed

About

Stephen A. Semick is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Stephen A. Semick has authored 7 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Physiology. Recurrent topics in Stephen A. Semick's work include Epigenetics and DNA Methylation (4 papers), Genetic Associations and Epidemiology (3 papers) and RNA Research and Splicing (2 papers). Stephen A. Semick is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Genetic Associations and Epidemiology (3 papers) and RNA Research and Splicing (2 papers). Stephen A. Semick collaborates with scholars based in United States. Stephen A. Semick's co-authors include Thomas M. Hyde, Joel E. Kleinman, Andrew E. Jaffe, Daniel R. Weinberger, Leonardo Collado‐Torres, Amy Deep‐Soboslay, Ran Tao, Amanda J. Price, Richard E. Straub and William S. Ulrich and has published in prestigious journals such as Nature Communications, Neuron and PLoS ONE.

In The Last Decade

Stephen A. Semick

7 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen A. Semick United States 7 225 131 49 42 25 7 317
William S. Ulrich United States 6 272 1.2× 202 1.5× 18 0.4× 54 1.3× 38 1.5× 8 417
Tisha Chung United States 6 276 1.2× 75 0.6× 22 0.4× 29 0.7× 11 0.4× 6 366
Jianmin Yuan China 12 207 0.9× 114 0.9× 78 1.6× 36 0.9× 30 1.2× 28 375
Safa Al‐Saraj Australia 7 244 1.1× 116 0.9× 79 1.6× 40 1.0× 39 1.6× 8 391
Amaya Urdánoz‐Casado Spain 11 229 1.0× 51 0.4× 94 1.9× 29 0.7× 34 1.4× 17 358
Matt De Both United States 12 154 0.7× 63 0.5× 43 0.9× 14 0.3× 50 2.0× 18 316
Jooheon Shin United States 3 163 0.7× 109 0.8× 10 0.2× 28 0.7× 18 0.7× 4 230
Thuy Le United States 7 141 0.6× 56 0.4× 18 0.4× 33 0.8× 15 0.6× 8 285
Javier Sánchez‐Ruiz de Gordoa Spain 11 215 1.0× 63 0.5× 112 2.3× 22 0.5× 69 2.8× 18 350
Prashanth Rajarajan United States 9 290 1.3× 173 1.3× 14 0.3× 13 0.3× 17 0.7× 18 424

Countries citing papers authored by Stephen A. Semick

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Semick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen A. Semick

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

All Works

7 of 7 papers shown
1.
Mandell, Kira A. Perzel, Nicholas J. Eagles, Richard Wilton, et al.. (2021). Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk. Nature Communications. 12(1). 5251–5251. 35 indexed citations
2.
Markunas, Christina A., Stephen A. Semick, Bryan C. Quach, et al.. (2020). Genome-wide DNA methylation differences in nucleus accumbens of smokers vs. nonsmokers. Neuropsychopharmacology. 46(3). 554–560. 18 indexed citations
3.
Keledjian, Kaspar, Orest Tsymbalyuk, Stephen A. Semick, et al.. (2020). The peroxisome proliferator-activated receptor gamma (PPARγ) agonist, rosiglitazone, ameliorates neurofunctional and neuroinflammatory abnormalities in a rat model of Gulf War Illness. PLoS ONE. 15(11). e0242427–e0242427. 19 indexed citations
4.
Collado‐Torres, Leonardo, Emily E. Burke, Amy Peterson, et al.. (2019). Regional Heterogeneity in Gene Expression, Regulation, and Coherence in the Frontal Cortex and Hippocampus across Development and Schizophrenia. Neuron. 103(2). 203–216.e8. 124 indexed citations
5.
Semick, Stephen A., Rahul Bharadwaj, Leonardo Collado‐Torres, et al.. (2019). Integrated DNA methylation and gene expression profiling across multiple brain regions implicate novel genes in Alzheimer’s disease. Acta Neuropathologica. 137(4). 557–569. 78 indexed citations
6.
Ma, Liang, Stephen A. Semick, Qiang Chen, et al.. (2019). Schizophrenia risk variants influence multiple classes of transcripts of sorting nexin 19 (SNX19). Molecular Psychiatry. 25(4). 831–843. 27 indexed citations
7.
Semick, Stephen A., Leonardo Collado‐Torres, Christina A. Markunas, et al.. (2018). Developmental effects of maternal smoking during pregnancy on the human frontal cortex transcriptome. Molecular Psychiatry. 25(12). 3267–3277. 16 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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