James B. Jaynes

4.8k total citations
53 papers, 3.8k citations indexed

About

James B. Jaynes is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, James B. Jaynes has authored 53 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 15 papers in Plant Science and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in James B. Jaynes's work include Genomics and Chromatin Dynamics (24 papers), Developmental Biology and Gene Regulation (18 papers) and RNA Research and Splicing (15 papers). James B. Jaynes is often cited by papers focused on Genomics and Chromatin Dynamics (24 papers), Developmental Biology and Gene Regulation (18 papers) and RNA Research and Splicing (15 papers). James B. Jaynes collaborates with scholars based in United States, United Kingdom and Russia. James B. Jaynes's co-authors include Miki Fujioka, Patrick H. O’Farrell, Sheryl T. Smith, Stephen D. Hauschka, Jean N. Buskin, Jeffrey S. Chamberlain, Jane E. Johnson, Galina L. Yusibova, Tadaatsu Goto and Hongtao Chen and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

James B. Jaynes

53 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James B. Jaynes United States 33 3.3k 745 697 575 368 53 3.8k
Renate Renkawitz‐Pohl Germany 33 2.9k 0.9× 964 1.3× 372 0.5× 614 1.1× 725 2.0× 85 3.7k
Carlos V. Cabrera United Kingdom 17 3.0k 0.9× 777 1.0× 775 1.1× 424 0.7× 306 0.8× 21 3.6k
Harald Vaessin United States 20 3.3k 1.0× 902 1.2× 1.1k 1.6× 518 0.9× 605 1.6× 26 4.1k
Anette Preiss Germany 30 3.6k 1.1× 783 1.1× 731 1.0× 461 0.8× 411 1.1× 89 4.0k
Susan M. Abmayr United States 40 5.0k 1.5× 918 1.2× 700 1.0× 548 1.0× 936 2.5× 72 6.0k
Janice A. Fischer United States 26 3.2k 1.0× 765 1.0× 485 0.7× 342 0.6× 897 2.4× 42 3.9k
Erika Matunis United States 30 2.9k 0.9× 857 1.2× 661 0.9× 299 0.5× 576 1.6× 48 3.8k
Christian Lanctôt Canada 20 2.8k 0.8× 800 1.1× 601 0.9× 359 0.6× 232 0.6× 40 3.6k
Michael Buszczak United States 33 2.8k 0.9× 461 0.6× 676 1.0× 357 0.6× 601 1.6× 56 3.6k
Deborah J. Andrew United States 34 3.4k 1.0× 697 0.9× 940 1.3× 265 0.5× 1.3k 3.5× 81 4.5k

Countries citing papers authored by James B. Jaynes

Since Specialization
Citations

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

Fields of papers citing papers by James B. Jaynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James B. Jaynes

This figure shows the co-authorship network connecting the top 25 collaborators of James B. Jaynes. A scholar is included among the top collaborators of James B. Jaynes 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 B. Jaynes. James B. Jaynes 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.
Fujioka, Miki, et al.. (2025). The homie insulator has sub-elements with different insulating and long-range pairing properties. Genetics. 229(4). 2 indexed citations
2.
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Bing, Xinyang, et al.. (2024). Chromosome structure in Drosophila is determined by boundary pairing not loop extrusion. eLife. 13. 11 indexed citations
5.
Fujioka, Miki, et al.. (2021). An insulator blocks access to enhancers by an illegitimate promoter, preventing repression by transcriptional interference. PLoS Genetics. 17(4). e1009536–e1009536. 7 indexed citations
6.
Rappaport, Jeffrey A., Signe Caksa, Aakash Jhaveri, et al.. (2021). A β-Catenin-TCF-Sensitive Locus Control Region Mediates GUCY2C Ligand Loss in Colorectal Cancer. Cellular and Molecular Gastroenterology and Hepatology. 13(4). 1276–1296. 9 indexed citations
7.
Chen, Hongtao, Michal Levo, Lev Barinov, et al.. (2018). Dynamic interplay between enhancer–promoter topology and gene activity. Nature Genetics. 50(9). 1296–1303. 318 indexed citations
8.
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Fujioka, Miki & James B. Jaynes. (2011). Regulation of a duplicated locus: Drosophila sloppy paired is replete with functionally overlapping enhancers. Developmental Biology. 362(2). 309–319. 20 indexed citations
10.
Sedkov, Yurii, Svetlana Petruk, Kristen M. Riley, et al.. (2011). Ecdysone- and NO-Mediated Gene Regulation by Competing EcR/Usp and E75A Nuclear Receptors during Drosophila Development. Molecular Cell. 44(1). 51–61. 49 indexed citations
11.
Jaynes, James B. & Miki Fujioka. (2004). Drawing lines in the sand: even skipped et al. and parasegment boundaries. Developmental Biology. 269(2). 609–622. 46 indexed citations
12.
Fujioka, Miki, James B. Jaynes, Amy Bejsovec, & Michael P. Weir. (2003). Production of Transgenic Drosophila. Humana Press eBooks. 136. 353–363. 14 indexed citations
13.
Han, Zhe, Miki Fujioka, M. Su, et al.. (2002). Transcriptional Integration of Competence Modulated by Mutual Repression Generates Cell-Type Specificity within the Cardiogenic Mesoderm. Developmental Biology. 252(2). 225–240. 48 indexed citations
14.
Zhu, Wencheng, Marisa L. Foehr, James B. Jaynes, & Steven D. Hanes. (2001). Drosophila SAP18, a member of the Sin3/Rpd3 histone deacetylase complex, interacts with Bicoid and inhibits its activity. Development Genes and Evolution. 211(3). 109–117. 31 indexed citations
15.
Baines, Richard A., et al.. (1999). Postsynaptic expression of tetanus toxin light chain blocks synaptogenesis in Drosophila. Current Biology. 9(21). 1267–S1. 74 indexed citations
16.
Tolkunova, Elena, et al.. (1998). Two Distinct Types of Repression Domain in Engrailed: One Interacts with the Groucho Corepressor and Is Preferentially Active on Integrated Target Genes. Molecular and Cellular Biology. 18(5). 2804–2814. 136 indexed citations
17.
Park, Youngji, et al.. (1998). Drosophila homeobox geneeve enhancestrol, an activator of neuroblast proliferation in the larval CNS. Developmental Genetics. 23(3). 247–257. 11 indexed citations
18.
Johnson, Jane E., et al.. (1989). Expression of a transfected mouse muscle-creatine kinase gene is induced upon growth factor deprivation of myogenic but not of nonmyogenic cells. Developmental Biology. 134(1). 258–262. 10 indexed citations
19.
Jaynes, James B., et al.. (1988). The Muscle Creatine Kinase Gene Is Regulated by Multiple Upstream Elements, Including a Muscle-Specific Enhancer. Molecular and Cellular Biology. 8(1). 62–70. 72 indexed citations
20.
Jaynes, James B., Jeffrey S. Chamberlain, Jean N. Buskin, Jane E. Johnson, & Stephen D. Hauschka. (1986). Transcriptional Regulation of the Muscle Creatine Kinase Gene and Regulated Expression in Transfected Mouse Myoblasts. Molecular and Cellular Biology. 6(8). 2855–2864. 66 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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