J Christopher Bare

2.1k total citations · 1 hit paper
13 papers, 881 citations indexed

About

J Christopher Bare is a scholar working on Molecular Biology, Genetics and Information Systems and Management. According to data from OpenAlex, J Christopher Bare has authored 13 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Information Systems and Management. Recurrent topics in J Christopher Bare's work include Genomics and Phylogenetic Studies (6 papers), Bioinformatics and Genomic Networks (4 papers) and Scientific Computing and Data Management (3 papers). J Christopher Bare is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Bioinformatics and Genomic Networks (4 papers) and Scientific Computing and Data Management (3 papers). J Christopher Bare collaborates with scholars based in United States, Australia and Canada. J Christopher Bare's co-authors include Stephen Friend, Michael Kellen, Abhishek Pratap, Elias Chaibub Neto, Nitin S. Baliga, John Wilbanks, Andrew D. Trister, Megan Doerr, Brian M. Bot and Christine Suver and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

J Christopher Bare

13 papers receiving 862 citations

Hit Papers

The mPower study, Parkinson disease mobile data collected... 2016 2026 2019 2022 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The mPower study, Parkinson disease mobile data collected using ResearchKit
    2016 404 citations Brian M. Bot, Christine Suver et al. Scientific Data profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Christopher Bare United States 10 380 167 146 140 120 13 881
Larsson Omberg United States 20 572 1.5× 304 1.8× 46 0.3× 218 1.6× 114 0.9× 40 1.5k
Amos Folarin United Kingdom 18 291 0.8× 56 0.3× 92 0.6× 47 0.3× 55 0.5× 57 1.2k
Michael Kellen United States 8 267 0.7× 111 0.7× 148 1.0× 160 1.1× 135 1.1× 11 906
Davide Cirillo Spain 18 826 2.2× 74 0.4× 51 0.3× 211 1.5× 52 0.4× 35 1.5k
Steven G. Hershman United States 13 903 2.4× 115 0.7× 16 0.1× 46 0.3× 106 0.9× 33 1.4k
John Hawkins Australia 16 494 1.3× 48 0.3× 40 0.3× 49 0.3× 173 1.4× 53 1.3k
Nathan Dunn Australia 12 328 0.9× 132 0.8× 12 0.1× 155 1.1× 31 0.3× 41 1.2k
Rachel L. Goldfeder United States 10 271 0.7× 160 1.0× 15 0.1× 69 0.5× 35 0.3× 16 678
Karl E. Misulis United States 11 242 0.6× 32 0.2× 40 0.3× 51 0.4× 47 0.4× 29 1.2k
Takanori Fujita Japan 21 866 2.3× 107 0.6× 8 0.1× 284 2.0× 145 1.2× 60 1.6k

Countries citing papers authored by J Christopher Bare

Since Specialization
Citations

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

Fields of papers citing papers by J Christopher Bare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Christopher Bare. 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 J Christopher Bare. The network helps show where J Christopher Bare may publish in the future.

Co-authorship network of co-authors of J Christopher Bare

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

All Works

13 of 13 papers shown
1.
Sendorek, Dorota H.S., Cristian Caloian, Kyle Ellrott, et al.. (2018). Germline contamination and leakage in whole genome somatic single nucleotide variant detection. BMC Bioinformatics. 19(1). 28–28. 6 indexed citations
2.
Bot, Brian M., Christine Suver, Elias Chaibub Neto, et al.. (2016). The mPower study, Parkinson disease mobile data collected using ResearchKit. Scientific Data. 3(1). 160011–160011. 404 indexed citations breakdown →
3.
Ewing, Adam D., Kathleen E. Houlahan, Yin Hu, et al.. (2015). Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection. Nature Methods. 12(7). 623–630. 182 indexed citations
4.
Neto, Elias Chaibub, J Christopher Bare, & Adam A. Margolin. (2014). Simulation Studies as Designed Experiments: The Comparison of Penalized Regression Models in the “Large p, Small n” Setting. PLoS ONE. 9(10). e107957–e107957. 14 indexed citations
5.
Turkarslan, Serdar, Elisabeth J. Wurtmann, Ning Jiang, et al.. (2013). Network portal: a database for storage, analysis and visualization of biological networks. Nucleic Acids Research. 42(D1). D184–D190. 17 indexed citations
6.
Bare, J Christopher & Nitin S. Baliga. (2012). Architecture for interoperable software in biology. Briefings in Bioinformatics. 15(4). 626–636. 3 indexed citations
7.
Yoon, Sung Ho, David J. Reiss, J Christopher Bare, et al.. (2011). Parallel evolution of transcriptome architecture during genome reorganization. Genome Research. 21(11). 1892–1904. 44 indexed citations
8.
Plaisier, Christopher, J Christopher Bare, & Nitin S. Baliga. (2011). miRvestigator: web application to identify miRNAs responsible for co-regulated gene expression patterns discovered through transcriptome profiling. Nucleic Acids Research. 39(suppl). W125–W131. 22 indexed citations
9.
Turkarslan, Serdar, David J. Reiss, Min Pan, et al.. (2011). Niche adaptation by expansion and reprogramming of general transcription factors. Molecular Systems Biology. 7(1). 554–554. 33 indexed citations
10.
Tenenbaum, Dan, J Christopher Bare, & Nitin S. Baliga. (2010). GTC: A web server for integrating systems biology data with web tools and desktop applications. SHILAP Revista de lepidopterología. 5(1). 7–7. 2 indexed citations
11.
Bare, J Christopher, Tie Koide, David J. Reiss, Dan Tenenbaum, & Nitin S. Baliga. (2010). Integration and visualization of systems biology data in context of the genome. BMC Bioinformatics. 11(1). 382–382. 26 indexed citations
12.
Koide, Tie, David J. Reiss, J Christopher Bare, et al.. (2009). Prevalence of transcription promoters within archaeal operons and coding sequences. Molecular Systems Biology. 5(1). 101 indexed citations
13.
Bare, J Christopher, Paul Shannon, Amy Schmid, & Nitin S. Baliga. (2007). The Firegoose: two-way integration of diverse data from different bioinformatics web resources with desktop applications. BMC Bioinformatics. 8(1). 456–456. 27 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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