Jeffrey Comer

4.3k total citations · 1 hit paper
93 papers, 3.3k citations indexed

About

Jeffrey Comer is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Jeffrey Comer has authored 93 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 33 papers in Biomedical Engineering and 20 papers in Materials Chemistry. Recurrent topics in Jeffrey Comer's work include Nanopore and Nanochannel Transport Studies (24 papers), Protein Structure and Dynamics (10 papers) and Lipid Membrane Structure and Behavior (10 papers). Jeffrey Comer is often cited by papers focused on Nanopore and Nanochannel Transport Studies (24 papers), Protein Structure and Dynamics (10 papers) and Lipid Membrane Structure and Behavior (10 papers). Jeffrey Comer collaborates with scholars based in United States, Chile and France. Jeffrey Comer's co-authors include Aleksei Aksimentiev, Christophe Chipot, James C. Gumbart, G. Timp, David B. Wells, Klaus Schulten, Maxim Belkin, Horacio Poblete, Andrew Pohorille and Jérôme Hénin and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jeffrey Comer

90 papers receiving 3.2k citations

Hit Papers

Bioinformatics approaches to discovering food-derived bio... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Comer United States 32 1.6k 1.3k 729 463 401 93 3.3k
Jhih‐Wei Chu United States 33 2.1k 1.3× 1.0k 0.8× 1.4k 1.9× 637 1.4× 225 0.6× 89 4.4k
Steven O. Nielsen United States 35 1.3k 0.8× 948 0.7× 1.4k 1.9× 946 2.0× 329 0.8× 83 4.0k
Binquan Luan United States 38 1.3k 0.9× 2.0k 1.6× 1.8k 2.5× 757 1.6× 750 1.9× 119 5.0k
Katsumasa Fujita Japan 39 1.7k 1.1× 2.1k 1.7× 582 0.8× 493 1.1× 293 0.7× 188 5.5k
Adam Cohen Simonsen Denmark 30 1.7k 1.1× 815 0.6× 419 0.6× 764 1.7× 494 1.2× 101 3.6k
Marjorie L. Longo United States 40 2.7k 1.7× 2.1k 1.6× 926 1.3× 1.1k 2.5× 297 0.7× 112 5.0k
Takashi Kobayashi Japan 32 1.1k 0.7× 1.0k 0.8× 992 1.4× 527 1.1× 863 2.2× 333 4.6k
Dawei Li China 40 2.7k 1.7× 714 0.6× 1.4k 2.0× 471 1.0× 381 1.0× 191 5.2k
Tong Zhu China 30 1.4k 0.9× 771 0.6× 1.1k 1.5× 310 0.7× 267 0.7× 128 3.3k
Ádám Mechler Australia 33 2.1k 1.4× 572 0.5× 448 0.6× 327 0.7× 395 1.0× 169 4.3k

Countries citing papers authored by Jeffrey Comer

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Comer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Comer

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Comer. A scholar is included among the top collaborators of Jeffrey Comer 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 Jeffrey Comer. Jeffrey Comer 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.
2.
Ahmad, Usama, et al.. (2024). Nuclear localization of Arabidopsis HD-Zip IV transcription factor GLABRA2 is driven by importin α. Journal of Experimental Botany. 75(20). 6441–6461. 2 indexed citations
3.
Du, Zhenjiao, Jeffrey Comer, & Yonghui Li. (2023). Bioinformatics approaches to discovering food-derived bioactive peptides: Reviews and perspectives. TrAC Trends in Analytical Chemistry. 162. 117051–117051. 93 indexed citations breakdown →
4.
Comer, Jeffrey, et al.. (2023). Thermodynamics of the physisorption of capping agents on silver nanoparticles. Physical Chemistry Chemical Physics. 25(30). 20320–20330. 5 indexed citations
5.
Deng, Hao, et al.. (2022). A high-dimensional neural network potential for molecular dynamics simulations of condensed phase nickel and phase transitions. Molecular Simulation. 49(3). 263–270. 7 indexed citations
6.
García‐Olivares, Jennie, et al.. (2020). Structural Determinants of the Dopamine Transporter Regulation Mediated by G Proteins. Journal of Chemical Information and Modeling. 60(7). 3577–3586. 2 indexed citations
7.
Ishiguro, Susumu, Ravindra Thakkar, Ayaka Nakashima, et al.. (2020). Water extract from Euglena gracilis prevents lung carcinoma growth in mice by attenuation of the myeloid-derived cell population. Biomedicine & Pharmacotherapy. 127. 110166–110166. 12 indexed citations
8.
Vergara‐Jaque, Ariela, et al.. (2019). A Structural Model of the Inactivation Gate of Voltage-Activated Potassium Channels. Biophysical Journal. 117(2). 377–387. 3 indexed citations
9.
Camarada, María Belén, Jeffrey Comer, Horacio Poblete, et al.. (2018). Experimental and Computational Characterization of the Interaction between Gold Nanoparticles and Polyamidoamine Dendrimers. Langmuir. 34(34). 10063–10072. 11 indexed citations
10.
Singam, Ettayapuram Ramaprasad Azhagiya, et al.. (2018). Thermodynamics of Adsorption on Graphenic Surfaces from Aqueous Solution. Journal of Chemical Theory and Computation. 15(2). 1302–1316. 45 indexed citations
11.
Comer, Jeffrey, et al.. (2018). Comparative functional dynamics studies on the enzyme nano-bio interface. International Journal of Nanomedicine. Volume 13. 4523–4536. 7 indexed citations
12.
Vergara‐Jaque, Ariela, Peying Fong, & Jeffrey Comer. (2017). Iodide Binding in Sodium-Coupled Cotransporters. Journal of Chemical Information and Modeling. 57(12). 3043–3055. 10 indexed citations
13.
Mazloom, Reza, Majid Jaberi‐Douraki, Jeffrey Comer, & Victoriya V. Volkova. (2017). Potential Information Loss Due to Categorization of Minimum Inhibitory Concentration Frequency Distributions. Foodborne Pathogens and Disease. 15(1). 44–54. 13 indexed citations
14.
Poblete, Horacio, et al.. (2016). Understanding the Interaction between Biomolecules and Silver Nanoparticles. Biophysical Journal. 110(3). 341a–341a. 3 indexed citations
15.
Márquez‐Miranda, Valeria, et al.. (2016). Self-Assembly of Amphiphilic Dendrimers: The Role of Generation and Alkyl Chain Length in siRNA Interaction. Scientific Reports. 6(1). 29436–29436. 33 indexed citations
16.
Maffeo, Christopher, et al.. (2014). Close encounters with DNA. Journal of Physics Condensed Matter. 26(41). 413101–413101. 61 indexed citations
17.
Chaudhry, Jehanzeb H., Jeffrey Comer, Aleksei Aksimentiev, & Luke N. Olson. (2013). A Stabilized Finite Element Method for Modified Poisson-Nernst-Planck Equations to Determine Ion Flow Through a Nanopore. Communications in Computational Physics. 15(1). 93–125. 32 indexed citations
18.
Comer, Jeffrey, et al.. (2011). Atoms-to-microns model for small solute transport through sticky nanochannels. Lab on a Chip. 11(22). 3766–3766. 15 indexed citations
19.
Comer, Jeffrey, et al.. (2010). Modeling Pressure-Driven Transport of Proteins Through a Nanochannel. IEEE Transactions on Nanotechnology. 10(1). 75–82. 28 indexed citations
20.
Comer, Jeffrey, V. Dimitrov, Qian Zhao, G. Timp, & Aleksei Aksimentiev. (2009). Microscopic Mechanics of Hairpin DNA Translocation through Synthetic Nanopores. Biophysical Journal. 96(2). 593–608. 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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