John N. Reeve

11.5k total citations
184 papers, 7.4k citations indexed

About

John N. Reeve is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, John N. Reeve has authored 184 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Molecular Biology, 89 papers in Genetics and 39 papers in Ecology. Recurrent topics in John N. Reeve's work include Bacterial Genetics and Biotechnology (88 papers), RNA and protein synthesis mechanisms (79 papers) and Genomics and Phylogenetic Studies (46 papers). John N. Reeve is often cited by papers focused on Bacterial Genetics and Biotechnology (88 papers), RNA and protein synthesis mechanisms (79 papers) and Genomics and Phylogenetic Studies (46 papers). John N. Reeve collaborates with scholars based in United States, Germany and Canada. John N. Reeve's co-authors include Kathleen Sandman, Thomas J. Santangelo, L’ubomı́ra Čuboňová, Jörk Nölling, Brent C. Christner, Rowan A. Grayling, Charles J. Daniels, Rudi Lurz, Gregory S. Beckler and Todd Pihl and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John N. Reeve

182 papers receiving 7.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John N. Reeve United States 49 6.0k 2.6k 1.9k 1.1k 574 184 7.4k
Michael Thomm Germany 43 4.6k 0.8× 1.6k 0.6× 1.6k 0.8× 998 0.9× 328 0.6× 112 5.9k
Ken F. Jarrell Canada 47 4.2k 0.7× 1.5k 0.6× 1.5k 0.8× 588 0.5× 555 1.0× 121 5.6k
Sonja‐Verena Albers Germany 55 6.8k 1.1× 2.7k 1.1× 2.6k 1.3× 1.5k 1.4× 169 0.3× 216 8.7k
Ben C. Berks United Kingdom 56 6.1k 1.0× 3.9k 1.5× 3.5k 1.8× 777 0.7× 136 0.2× 119 9.8k
Frank T. Robb United States 44 3.6k 0.6× 562 0.2× 1.2k 0.6× 1.3k 1.2× 208 0.4× 161 5.4k
Frank Mayer Germany 42 4.1k 0.7× 462 0.2× 1.5k 0.8× 582 0.5× 412 0.7× 188 6.8k
Helmut König Germany 46 2.9k 0.5× 917 0.4× 1.2k 0.6× 332 0.3× 614 1.1× 235 6.6k
Céline Brochier‐Armanet France 46 5.0k 0.8× 909 0.4× 3.5k 1.8× 339 0.3× 211 0.4× 130 7.3k
Karlheinz Altendorf Germany 48 6.7k 1.1× 1.5k 0.6× 839 0.4× 584 0.5× 50 0.1× 200 9.5k
Ricardo Cavicchioli Australia 49 4.7k 0.8× 548 0.2× 4.4k 2.3× 780 0.7× 128 0.2× 134 8.1k

Countries citing papers authored by John N. Reeve

Since Specialization
Citations

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

Fields of papers citing papers by John N. Reeve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John N. Reeve

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

All Works

20 of 20 papers shown
1.
Atomi, Haruyuki & John N. Reeve. (2019). Microbe Profile: Thermococcus kodakarensis: the model hyperthermophilic archaeon. Microbiology. 165(11). 1166–1168. 10 indexed citations
2.
Mattiroli, Francesca, Sudipta Bhattacharyya, Pamela N. Dyer, et al.. (2017). Structure of histone-based chromatin in Archaea. Science. 357(6351). 609–612. 125 indexed citations
3.
Astling, David P., Rie Matsumi, Brett W. Burkhart, et al.. (2017). Genome Replication in Thermococcus kodakarensis Independent of Cdc6 and an Origin of Replication. Frontiers in Microbiology. 8. 2084–2084. 25 indexed citations
4.
Santangelo, Thomas J., L’ubomı́ra Čuboňová, & John N. Reeve. (2011). Deletion of alternative pathways for reductant recycling in Thermococcus kodakarensis increases hydrogen production. Molecular Microbiology. 81(4). 897–911. 44 indexed citations
5.
Li, Zhuo, Thomas J. Santangelo, L’ubomı́ra Čuboňová, John N. Reeve, & Zvi Kelman. (2010). Affinity Purification of an Archaeal DNA Replication Protein Network. mBio. 1(5). 77 indexed citations
6.
Dev, Kamal, Thomas J. Santangelo, Stefan Rothenburg, et al.. (2009). Archaeal aIF2B Interacts with Eukaryotic Translation Initiation Factors eIF2α and eIF2Bα: Implications for aIF2B Function and eIF2B Regulation. Journal of Molecular Biology. 392(3). 701–722. 25 indexed citations
7.
Shin, Jae‐Ho, et al.. (2006). Archaeal Minichromosome Maintenance (MCM) Helicase Can Unwind DNA Bound by Archaeal Histones and Transcription Factors. Journal of Biological Chemistry. 282(7). 4908–4915. 16 indexed citations
8.
Čuboňová, L’ubomı́ra, Kathleen Sandman, Steven Hallam, Edward F. DeLong, & John N. Reeve. (2005). Histones in Crenarchaea. Journal of Bacteriology. 187(15). 5482–5485. 51 indexed citations
9.
Bailey, Kathryn A., et al.. (2002). Both DNA and Histone Fold Sequences Contribute to Archaeal Nucleosome Stability. Journal of Biological Chemistry. 277(11). 9293–9301. 31 indexed citations
10.
Sandman, Kathleen, et al.. (2001). [10] Archaeal histones and nucleosomes. Methods in enzymology on CD-ROM/Methods in enzymology. 334. 116–129. 16 indexed citations
11.
Christner, Brent C., Ellen Mosley‐Thompson, Lonnie G. Thompson, & John N. Reeve. (2001). Isolation of bacteria and 16S rDNAs from Lake Vostok accretion ice. Environmental Microbiology. 3(9). 570–577. 167 indexed citations
12.
Bailey, Kathryn A., Suzette L Pereira, Jonathan Widom, & John N. Reeve. (2000). Archaeal histone selection of nucleosome positioning sequences and the procaryotic origin of histone-dependent genome evolution. Journal of Molecular Biology. 303(1). 25–34. 52 indexed citations
13.
Chow, Christine S., et al.. (1999). Histone stoichiometry and DNA circularization in archaeal nucleosomes. Nucleic Acids Research. 27(2). 532–536. 32 indexed citations
14.
LaMarr, William A., Kathleen Sandman, John N. Reeve, & Peter C. Dedon. (1997). Large Scale Preparation of Positively Supercoiled DNA Using the Archaeal Histone HMf. Nucleic Acids Research. 25(8). 1660–1661. 9 indexed citations
15.
Grayling, Rowan A., Kathleen Sandman, & John N. Reeve. (1996). Histones and chromatin structure in hyperthermophilicArchaea. FEMS Microbiology Reviews. 18(2-3). 203–213. 40 indexed citations
16.
Grayling, Rowan A., Wayne J. Becktel, & John N. Reeve. (1995). Structure and Stability of Histone HMf from the Hyperthermophilic Archaeon Methanothermus fervidus. Biochemistry. 34(26). 8441–8448. 15 indexed citations
17.
Stroup, Diane & John N. Reeve. (1993). Identification of the mcrC gene product inMethanococcus vannielii. FEMS Microbiology Letters. 111(1). 129–134. 6 indexed citations
18.
Brown, James W., Charles J. Daniels, John N. Reeve, & J Konisky. (1989). Gene Structure, Organization, And Expression In Archaebacteria. PubMed. 16(4). 287–337. 211 indexed citations
19.
Haas, Elizabeth S., et al.. (1986). Antibiotic resistance caused by permeability changes of the archaebacteriumMethanococcus vannielii. FEMS Microbiology Letters. 33(2-3). 185–188. 15 indexed citations
20.
Reeve, John N., et al.. (1986). Structure of methanogen genes. Systematic and Applied Microbiology. 7(1). 5–12. 24 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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