James Johnson

6.1k total citations · 1 hit paper
16 papers, 3.5k citations indexed

About

James Johnson is a scholar working on Molecular Biology, Pollution and Ecology. According to data from OpenAlex, James Johnson has authored 16 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Pollution and 3 papers in Ecology. Recurrent topics in James Johnson's work include Genomics and Chromatin Dynamics (11 papers), Gut microbiota and health (5 papers) and RNA and protein synthesis mechanisms (4 papers). James Johnson is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), Gut microbiota and health (5 papers) and RNA and protein synthesis mechanisms (4 papers). James Johnson collaborates with scholars based in United States, United Kingdom and Australia. James Johnson's co-authors include Timothy L. Bailey, Charles E. Grant, William Stafford Noble, Chris A. Brackley, Davide Marenduzzo, Peter R. Cook, Steven Kelly, Tom Whitington, Martin C. Frith and Davide Michieletto and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Bioinformatics.

In The Last Decade

James Johnson

16 papers receiving 3.5k 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.

The MEME Suite

2015 3.0k citations Timothy L. Bailey, James Johnson et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Johnson United States	11	2.6k	1.6k	350	172	169	16	3.5k
Ann E. Loraine United States	27	2.3k 0.9×	1.6k 1.0×	268 0.8×	131 0.8×	103 0.6×	55	3.1k
Sara El-Gebali Switzerland	4	2.2k 0.9×	1.1k 0.7×	368 1.1×	490 2.8×	135 0.8×	6	3.3k
Christopher Wilks United States	11	2.4k 0.9×	1.7k 1.1×	336 1.0×	142 0.8×	143 0.8×	16	3.3k
Peng Lü China	20	2.1k 0.8×	1.1k 0.7×	408 1.2×	108 0.6×	141 0.8×	87	3.0k
Travis J. Wheeler United States	14	2.4k 0.9×	1.1k 0.7×	515 1.5×	490 2.8×	143 0.8×	44	3.3k
Layla Hirsh Peru	7	2.2k 0.9×	1.1k 0.7×	361 1.0×	499 2.9×	105 0.6×	11	3.3k
Răzvan Sultana United States	18	1.9k 0.8×	813 0.5×	595 1.7×	236 1.4×	186 1.1×	23	3.2k
Ugrappa Nagalakshmi United States	17	2.3k 0.9×	1.1k 0.7×	316 0.9×	97 0.6×	318 1.9×	28	3.2k
Depeng Wang China	25	1.7k 0.7×	544 0.4×	359 1.0×	218 1.3×	211 1.2×	46	2.8k

Countries citing papers authored by James Johnson

Since Specialization

Citations

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

Fields of papers citing papers by James Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Johnson

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Viner, Coby, Charles A. Ishak, James Johnson, et al.. (2024). Modeling methyl-sensitive transcription factor motifs with an expanded epigenetic alphabet. Genome biology. 25(1). 11–11. 8 indexed citations

Johnson, James, Kevin Lambirth, Sandra M. Clinton, et al.. (2021). Characterization of Environmental and Cultivable Antibiotic-Resistant Microbial Communities Associated with Wastewater Treatment. Antibiotics. 10(4). 352–352. 7 indexed citations

Clinton, Sandra M., James Johnson, Kevin Lambirth, et al.. (2020). Sediment Microbial Diversity in Urban Piedmont North Carolina Watersheds Receiving Wastewater Input. Water. 12(6). 1557–1557. 3 indexed citations

Lambirth, Kevin, Matthew C. B. Tsilimigras, Anju Lulla, et al.. (2018). Microbial Community Composition and Antibiotic Resistance Genes within a North Carolina Urban Water System. Water. 10(11). 1539–1539. 15 indexed citations

Brackley, Chris A., James Johnson, Davide Michieletto, et al.. (2018). Extrusion without a motor: a new take on the loop extrusion model of genome organization. Nucleus. 9(1). 95–103. 38 indexed citations

Parker, Leslie A., Nan Li, Kathryn Winglee, et al.. (2018). Initial microbial community of the neonatal stomach immediately after birth. Gut Microbes. 10(3). 289–297. 10 indexed citations

Brackley, Chris A., James Johnson, Davide Michieletto, et al.. (2017). Nonequilibrium Chromosome Looping via Molecular Slip Links. Physical Review Letters. 119(13). 138101–138101. 87 indexed citations

Brackley, Chris A., Davide Michieletto, James Johnson, et al.. (2016). Simulating topological domains in human chromosomes with a fitting-free model. Nucleus. 7(5). 453–461. 2 indexed citations

Brackley, Chris A., James Johnson, Samuel Corless, et al.. (2016). Stochastic Model of Supercoiling-Dependent Transcription. Physical Review Letters. 117(1). 18101–18101. 36 indexed citations

10.

Brackley, Chris A., James Johnson, Steven Kelly, Peter R. Cook, & Davide Marenduzzo. (2016). Simulated binding of transcription factors to active and inactive regions folds human chromosomes into loops, rosettes and topological domains. Nucleic Acids Research. 44(8). 3503–3512. 131 indexed citations

11.

Bailey, Timothy L., James Johnson, Charles E. Grant, & William Stafford Noble. (2015). The MEME Suite. Nucleic Acids Research. 43(W1). W39–W49. 3018 indexed citations breakdown →

12.

Johnson, James, Chris A. Brackley, Peter R. Cook, & Davide Marenduzzo. (2015). A simple model for DNA bridging proteins and bacterial or human genomes: bridging-induced attraction and genome compaction. Journal of Physics Condensed Matter. 27(6). 64119–64119. 23 indexed citations

13.

Grant, Charles E., James Johnson, Timothy L. Bailey, & William Stafford Noble. (2015). MCAST: scanning for cis-regulatory motif clusters. Bioinformatics. 32(8). 1217–1219. 9 indexed citations

14.

Lesluyes, Tom, James Johnson, Philip Machanick, & Timothy L. Bailey. (2014). Differential motif enrichment analysis of paired ChIP-seq experiments. BMC Genomics. 15(1). 752–752. 15 indexed citations

15.

Whitington, Tom, Martin C. Frith, James Johnson, & Timothy L. Bailey. (2011). Inferring transcription factor complexes from ChIP-seq data. Nucleic Acids Research. 39(15). e98–e98. 95 indexed citations

16.

Sack, R. Bradley, James Johnson, N. F. Pierce, David F. Keren, & J. H. Yardley. (1976). Challenge of Dogs with Live Enterotoxigenic Escherichia coli and Effects of Repeated Challenges on Fluid Secretion in Jejunal Thiry-Vella Loops. The Journal of Infectious Diseases. 134(1). 15–24. 32 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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