John Bouck

32.3k total citations · 1 hit paper
15 papers, 1.5k citations indexed

About

John Bouck is a scholar working on Molecular Biology, Plant Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, John Bouck has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Plant Science and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in John Bouck's work include RNA and protein synthesis mechanisms (10 papers), Genomics and Phylogenetic Studies (8 papers) and Machine Learning in Bioinformatics (3 papers). John Bouck is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), Genomics and Phylogenetic Studies (8 papers) and Machine Learning in Bioinformatics (3 papers). John Bouck collaborates with scholars based in United States and United Kingdom. John Bouck's co-authors include Richard A. Gibbs, Webb Miller, Scott Schwartz, Kelly A. Frazer, Ross C. Hardison, Zheng Zhang, Arian F. A. Smit, Cathy Riemer, Tatiana V. Tatarinova and Nickolai Alexandrov and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

John Bouck

15 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

PipMaker—A Web Server for Aligning Two Genomic DNA Sequences

2000 969 citations Scott Schwartz, Zheng Zhang et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Bouck United States	10	1.1k	453	371	137	66	15	1.5k
NISC Comparative Sequencing Program United States	14	1.2k 1.1×	478 1.1×	485 1.3×	62 0.5×	91 1.4×	22	1.6k
Andrew Wu United Kingdom	5	1.3k 1.2×	395 0.9×	331 0.9×	102 0.7×	67 1.0×	5	1.7k
George Hartzell United States	7	2.0k 1.9×	344 0.8×	504 1.4×	111 0.8×	59 0.9×	7	2.3k
Gayle K. McEwen Germany	16	1.4k 1.3×	351 0.8×	493 1.3×	143 1.0×	57 0.9×	22	1.8k
Arnaud Kerhornou United Kingdom	8	848 0.8×	295 0.7×	398 1.1×	98 0.7×	50 0.8×	9	1.4k
C.K. Watanabe Japan	6	1.1k 1.0×	615 1.4×	296 0.8×	94 0.7×	95 1.4×	9	1.7k
Andreas Kähäri United Kingdom	6	832 0.8×	216 0.5×	393 1.1×	70 0.5×	44 0.7×	6	1.3k
Derek W. Barnett United States	7	660 0.6×	242 0.5×	280 0.8×	48 0.4×	57 0.9×	7	1.0k
Swati Ranade United States	14	1.6k 1.5×	344 0.8×	326 0.9×	205 1.5×	96 1.5×	22	2.0k
Matthew G. Endrizzi United States	6	1.6k 1.5×	339 0.7×	269 0.7×	175 1.3×	78 1.2×	6	1.8k

Countries citing papers authored by John Bouck

Since Specialization

Citations

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

Fields of papers citing papers by John Bouck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Bouck

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

All Works

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15 of 15 papers shown

Howard, Susanne, John Bouck, & Wenping Qiu. (2015). Assembly and analysis of the chloroplast genome of the North American hybrid grape ‘Norton’. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 55(3). 95–98. 1 indexed citations

Tatarinova, Tatiana V., Nickolai Alexandrov, John Bouck, & Kenneth A. Feldmann. (2010). GC3 biology in corn, rice, sorghum and other grasses. BMC Genomics. 11(1). 308–308. 111 indexed citations

Troukhan, Maxim, Tatiana V. Tatarinova, John Bouck, R. B. Flavell, & Nickolai Alexandrov. (2009). Genome-Wide Discovery of cis -Elements in Promoter Sequences Using Gene Expression. OMICS A Journal of Integrative Biology. 13(2). 139–151. 28 indexed citations

Alexandrov, Nickolai, Vyacheslav Brover, Maxim Troukhan, et al.. (2008). Insights into corn genes derived from large-scale cDNA sequencing. Plant Molecular Biology. 69(1-2). 179–194. 181 indexed citations

Tatarinova, Tatiana V., John Bouck, & Alan Schumitzky. (2008). KULLBACK–LEIBLER MARKOV CHAIN MONTE CARLO — A NEW ALGORITHM FOR FINITE MIXTURE ANALYSIS AND ITS APPLICATION TO GENE EXPRESSION DATA. Journal of Bioinformatics and Computational Biology. 6(4). 727–746. 3 indexed citations

Chen, Rui, John Bouck, George M. Weinstock, & Richard A. Gibbs. (2001). Comparing Vertebrate Whole-Genome Shotgun Reads to the Human Genome. Genome Research. 11(11). 1807–1816. 14 indexed citations

Bouck, John, Michael P. McLeod, Kim C. Worley, & Richard A. Gibbs. (2000). The Human Transcript Database: a catalogue of full length cDNA inserts. Bioinformatics. 16(2). 176–177. 4 indexed citations

Bouck, John, Michael L. Metzker, & Richard A. Gibbs. (2000). Shotgun sample sequence comparisons between mouse and human genomes. Nature Genetics. 25(1). 31–33. 19 indexed citations

Schwartz, Scott, Zheng Zhang, Kelly A. Frazer, et al.. (2000). PipMaker—A Web Server for Aligning Two Genomic DNA Sequences. Genome Research. 10(4). 577–586. 969 indexed citations breakdown →

10.

Bouck, John, Wei Yu, Richard A. Gibbs, & Kim C. Worley. (1999). Comparison of gene indexing databases. Trends in Genetics. 15(4). 159–162. 29 indexed citations

11.

Bouck, John. (1998). In vivo selection for intronic splicing signals from a randomized pool. Nucleic Acids Research. 26(19). 4516–4523. 6 indexed citations

12.

Bouck, John, Xiang‐Dong Fu, Anna Marie Skalka, & Richard A. Katz. (1998). Role of the Constitutive Splicing Factors U2AF65 and SAP49 in Suboptimal RNA Splicing of Novel Retroviral Mutants. Journal of Biological Chemistry. 273(24). 15169–15176. 15 indexed citations

13.

Bouck, John, Webb Miller, James H. Gorrell, Donna M. Muzny, & Richard A. Gibbs. (1998). Analysis of the Quality and Utility of Random Shotgun Sequencing at Low Redundancies. Genome Research. 8(10). 1074–1084. 50 indexed citations

14.

Muzny, Donna M., et al.. (1998). Using BODIPY dye-primer chemistry in large-scale sequencing. IEEE Engineering in Medicine and Biology Magazine. 17(6). 88–93. 3 indexed citations

15.

Bouck, John, Xiang‐Dong Fu, Anna Marie Skalka, & Richard A. Katz. (1995). Genetic Selection for Balanced Retroviral Splicing: Novel Regulation Involving the Second Step Can Be Mediated by Transitions in the Polypyrimidine Tract. Molecular and Cellular Biology. 15(5). 2663–2671. 18 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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