John M. Gaspar

2.6k total citations
31 papers, 1.6k citations indexed

About

John M. Gaspar is a scholar working on Molecular Biology, Cognitive Neuroscience and Ecology. According to data from OpenAlex, John M. Gaspar has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Cognitive Neuroscience and 6 papers in Ecology. Recurrent topics in John M. Gaspar's work include Neural and Behavioral Psychology Studies (8 papers), Epigenetics and DNA Methylation (6 papers) and Microbial Community Ecology and Physiology (5 papers). John M. Gaspar is often cited by papers focused on Neural and Behavioral Psychology Studies (8 papers), Epigenetics and DNA Methylation (6 papers) and Microbial Community Ecology and Physiology (5 papers). John M. Gaspar collaborates with scholars based in United States, Canada and United Kingdom. John M. Gaspar's co-authors include John J. McDonald, W. Kelley Thomas, Ali Jannati, Ronald P. Hart, Michael F Palopoli, James R. Walters, Pierre Jolicœur, David J. Prime, Gregory J. Christie and Chengyue Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

John M. Gaspar

31 papers receiving 1.6k citations

Peers

John M. Gaspar

ECOLO

GENET

ECP

Dragana Rogulja United States

Jamie M. Kramer Canada

Koji Kadota Japan

Han Lee United States

J. David McDonald United States

Giles E. Duffield United States

Haifang Wang China

Balint Z Kacsoh United States

Narendrakumar Ramanan United States

Lucı́a Peixoto United States

Dragana Rogulja United States

John M. Gaspar

184 ×0.3

635 ×1.1

185 ×0.9

ECOLO

289 ×1.7

GENET

82 ×0.6

ECP

Citations per year, relative to John M. Gaspar John M. Gaspar (= 1×) peers Dragana Rogulja

Countries citing papers authored by John M. Gaspar

Since Specialization

Citations

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

Fields of papers citing papers by John M. Gaspar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Gaspar. 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 John M. Gaspar. The network helps show where John M. Gaspar may publish in the future.

Co-authorship network of co-authors of John M. Gaspar

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

All Works

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20 of 20 papers shown

Strizki, Julie, John M. Gaspar, John A. Howe, et al.. (2023). Molnupiravir maintains antiviral activity against SARS-CoV-2 variants and exhibits a high barrier to the development of resistance. Antimicrobial Agents and Chemotherapy. 68(1). e0095323–e0095323. 16 indexed citations

McDonald, John J., et al.. (2022). Difficulty suppressing visual distraction while dual tasking. Psychonomic Bulletin & Review. 30(1). 224–234. 5 indexed citations

Gaspar, John M., et al.. (2020). Electrophysiological evidence that psychopathic personality traits are associated with atypical response to salient distractors. Cognitive Affective & Behavioral Neuroscience. 20(1). 195–213. 1 indexed citations

Freedman, Adam H., John M. Gaspar, & Timothy B. Sackton. (2020). Short paired-end reads trump long single-end reads for expression analysis. BMC Bioinformatics. 21(1). 149–149. 14 indexed citations

Bansal, Sonia, John M. Gaspar, Benjamin M. Robinson, et al.. (2020). Antisaccade Deficits in Schizophrenia Can Be Driven by Attentional Relevance of the Stimuli. Schizophrenia Bulletin. 47(2). 363–372. 4 indexed citations

Gaspar, John M., David M. Hoffman, Daniel Citron, & Dan Odell. (2019). 3‐3: The effect of larger field‐of‐view on visual search times for world‐locked augmented reality objects. SID Symposium Digest of Technical Papers. 50(1). 9–12. 1 indexed citations

Mutlu, Beste, Huei-Mei Chen, James J. Moresco, et al.. (2018). Regulated nuclear accumulation of a histone methyltransferase times the onset of heterochromatin formation in C. elegans embryos. Science Advances. 4(8). eaat6224–eaat6224. 46 indexed citations

Gaspar, John M.. (2018). NGmerge: merging paired-end reads via novel empirically-derived models of sequencing errors. BMC Bioinformatics. 19(1). 536–536. 130 indexed citations

Gaspar, John M. & Ronald P. Hart. (2017). DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data. BMC Bioinformatics. 18(1). 528–528. 50 indexed citations

10.

Fonseca, Vera G., Frédéric Sinniger, John M. Gaspar, et al.. (2017). Revealing higher than expected meiofaunal diversity in Antarctic sediments: a metabarcoding approach. Scientific Reports. 7(1). 6094–6094. 41 indexed citations

11.

Guo, Yue, Zheng‐Yuan Su, Chengyue Zhang, et al.. (2017). Mechanisms of colitis-accelerated colon carcinogenesis and its prevention with the combination of aspirin and curcumin: Transcriptomic analysis using RNA-seq. Biochemical Pharmacology. 135. 22–34. 32 indexed citations

12.

Gaspar, John M., Gregory J. Christie, David J. Prime, Pierre Jolicœur, & John J. McDonald. (2016). Inability to suppress salient distractors predicts low visual working memory capacity. Proceedings of the National Academy of Sciences. 113(13). 3693–3698. 133 indexed citations

13.

Gaspar, John M. & W. Kelley Thomas. (2015). FlowClus: efficiently filtering and denoising pyrosequenced amplicons. BMC Bioinformatics. 16(1). 105–105. 19 indexed citations

14.

Gaspar, John M. & John J. McDonald. (2014). Suppression of Salient Objects Prevents Distraction in Visual Search. Journal of Neuroscience. 34(16). 5658–5666. 238 indexed citations

15.

Lallias, Delphine, Jan Geert Hiddink, Vera G. Fonseca, et al.. (2014). Environmental metabarcoding reveals heterogeneous drivers of microbial eukaryote diversity in contrasting estuarine ecosystems. The ISME Journal. 9(5). 1208–1221. 102 indexed citations

16.

Jannati, Ali, John M. Gaspar, & John J. McDonald. (2013). Tracking target and distractor processing in fixed-feature visual search: Evidence from human electrophysiology.. Journal of Experimental Psychology Human Perception & Performance. 39(6). 1713–1730. 126 indexed citations

17.

Gaspar, John M. & W. Kelley Thomas. (2013). Assessing the Consequences of Denoising Marker-Based Metagenomic Data. PLoS ONE. 8(3). e60458–e60458. 57 indexed citations

18.

Gaspar, John M., et al.. (2011). Application of multi-source minimum variance beamformers for reconstruction of correlated neural activity. NeuroImage. 58(2). 481–496. 41 indexed citations

19.

Gaspar, John M., Allison R. Pettit, Rebecca Lee, et al.. (2004). ESE-1 Is a Novel Transcriptional Mediator of Angiopoietin-1 Expression in the Setting of Inflammation. Journal of Biological Chemistry. 279(13). 12794–12803. 53 indexed citations

20.

Thai, Shelley N.-M., John M. Gaspar, Susan A. Rudders, et al.. (2001). ELF-1 Is a Transcriptional Regulator of the Tie2 Gene During Vascular Development. Circulation Research. 88(2). 237–244. 46 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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