Eldon Emberly

4.2k total citations
53 papers, 3.0k citations indexed

About

Eldon Emberly is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Eldon Emberly has authored 53 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 12 papers in Electrical and Electronic Engineering and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Eldon Emberly's work include Molecular Junctions and Nanostructures (12 papers), Genomics and Chromatin Dynamics (10 papers) and Epigenetics and DNA Methylation (9 papers). Eldon Emberly is often cited by papers focused on Molecular Junctions and Nanostructures (12 papers), Genomics and Chromatin Dynamics (10 papers) and Epigenetics and DNA Methylation (9 papers). Eldon Emberly collaborates with scholars based in Canada, United States and France. Eldon Emberly's co-authors include George Kirczenow, Michael S. Kobor, Lucia L.C. Lam, Pau Farré, Chao Tang, Ned S. Wingreen, Sarah Neumann, Nikolaus Rajewsky, Gregory E. Miller and Hunter B. Fraser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Genes & Development.

In The Last Decade

Eldon Emberly

53 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eldon Emberly Canada 27 1.6k 942 704 382 379 53 3.0k
Markus Müller Germany 43 4.0k 2.4× 556 0.6× 331 0.5× 448 1.2× 749 2.0× 128 6.5k
Michael R. James Australia 41 2.3k 1.4× 227 0.2× 165 0.2× 1.3k 3.3× 484 1.3× 106 5.7k
Klaus Fendler Germany 34 2.5k 1.5× 270 0.3× 464 0.7× 326 0.9× 203 0.5× 114 3.5k
Michael L. Johnson United States 31 1.4k 0.9× 112 0.1× 463 0.7× 82 0.2× 284 0.7× 84 2.7k
Quang Vinh Lam Vietnam 24 485 0.3× 470 0.5× 278 0.4× 86 0.2× 620 1.6× 80 2.0k
Mitsuyoshi Saito Japan 29 2.8k 1.7× 200 0.2× 476 0.7× 210 0.5× 306 0.8× 76 4.0k
Shinya Watanabe Japan 34 1.9k 1.1× 599 0.6× 169 0.2× 339 0.9× 1.0k 2.7× 119 4.0k
Shinichiro Tanaka Japan 23 837 0.5× 381 0.4× 482 0.7× 90 0.2× 441 1.2× 196 2.9k
Timothy O’Connor United States 48 4.2k 2.6× 276 0.3× 68 0.1× 556 1.5× 528 1.4× 161 6.5k
Thomas Gensch Germany 35 2.0k 1.2× 470 0.5× 395 0.6× 77 0.2× 1.0k 2.6× 106 4.0k

Countries citing papers authored by Eldon Emberly

Since Specialization
Citations

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

Fields of papers citing papers by Eldon Emberly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eldon Emberly

This figure shows the co-authorship network connecting the top 25 collaborators of Eldon Emberly. A scholar is included among the top collaborators of Eldon Emberly 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 Eldon Emberly. Eldon Emberly 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.
Emberly, Eldon & Jeremy K. Seamans. (2020). Abrupt, Asynchronous Changes in Action Representations by Anterior Cingulate Cortex Neurons during Trial and Error Learning. Cerebral Cortex. 30(8). 4336–4345. 5 indexed citations
2.
Emberly, Eldon, et al.. (2019). DNA segregation under Par protein control. PLoS ONE. 14(7). e0218520–e0218520. 7 indexed citations
3.
Farré, Pau & Eldon Emberly. (2018). A maximum-entropy model for predicting chromatin contacts. PLoS Computational Biology. 14(2). e1005956–e1005956. 5 indexed citations
4.
Farré, Pau, et al.. (2018). Dense neural networks for predicting chromatin conformation. BMC Bioinformatics. 19(1). 372–372. 10 indexed citations
5.
Barha, Cindy K., Katrina G. Salvante, Meaghan J. Jones, et al.. (2018). Early post-conception maternal cortisol, children’s HPAA activity and DNA methylation profiles. Journal of Developmental Origins of Health and Disease. 10(1). 73–87. 9 indexed citations
6.
Emberly, Eldon, et al.. (2015). Operational Principles for the Dynamics of the In Vitro ParA-ParB System. PLoS Computational Biology. 11(12). e1004651–e1004651. 14 indexed citations
7.
Liang, Jun, Laurent Lacroix, Adrien Gamot, et al.. (2014). Chromatin Immunoprecipitation Indirect Peaks Highlight Long-Range Interactions of Insulator Proteins and Pol II Pausing. Molecular Cell. 53(4). 672–681. 80 indexed citations
8.
Saberi, Saeed, et al.. (2014). Localization of aggregating proteins in bacteria depends on the rate of addition. Frontiers in Microbiology. 5. 418–418. 11 indexed citations
9.
Jones, Meaghan J., Pau Farré, Lisa M. McEwen, et al.. (2013). Distinct DNA methylation patterns of cognitive impairment and trisomy 21 in down syndrome. BMC Medical Genomics. 6(1). 58–58. 66 indexed citations
10.
Saberi, Saeed & Eldon Emberly. (2013). Non-Equilibrium Polar Localization of Proteins in Bacterial Cells. PLoS ONE. 8(5). e64075–e64075. 6 indexed citations
11.
Emberly, Eldon, et al.. (2013). Abrupt changes in the patterns and complexity of anterior cingulate cortex activity when food is introduced into an environment. Frontiers in Neuroscience. 7. 74–74. 16 indexed citations
12.
Jiang, Nan, Eldon Emberly, Olivier Cuvier, & Craig M. Hart. (2009). Genome-Wide Mapping of Boundary Element-Associated Factor (BEAF) Binding Sites in Drosophila melanogaster Links BEAF to Transcription. Molecular and Cellular Biology. 29(13). 3556–3568. 86 indexed citations
13.
Emberly, Eldon, et al.. (2009). Length-dependent force characteristics of coiled coils. Physical Review E. 80(6). 61909–61909. 5 indexed citations
14.
Emberly, Eldon & Ned S. Wingreen. (2006). Hourglass Model for a Protein-Based Circadian Oscillator. Physical Review Letters. 96(3). 38303–38303. 53 indexed citations
15.
Emberly, Eldon & George Kirczenow. (2003). The Smallest Molecular Switch. Physical Review Letters. 91(18). 188301–188301. 158 indexed citations
16.
Mukhopadhyay, Ranjan, Eldon Emberly, Chao Tang, & Ned S. Wingreen. (2003). Statistical mechanics of RNA folding: Importance of alphabet size. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(4). 41904–41904. 11 indexed citations
17.
Emberly, Eldon, Ranjan Mukhopadhyay, Ned S. Wingreen, & Chao Tang. (2003). Flexibility of α-Helices: Results of a Statistical Analysis of Database Protein Structures. Journal of Molecular Biology. 327(1). 229–237. 55 indexed citations
18.
Emberly, Eldon, Ned S. Wingreen, & Chao Tang. (2002). Designability of α-helical proteins. Proceedings of the National Academy of Sciences. 99(17). 11163–11168. 27 indexed citations
19.
Emberly, Eldon & George Kirczenow. (2002). Charging Effects, Forces, and Conduction in Molecular Wire Systems. Annals of the New York Academy of Sciences. 960(1). 131–142. 5 indexed citations
20.
Emberly, Eldon & George Kirczenow. (2001). Molecular spintronics: spin-dependent electron transport in molecular wires. 107 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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