Eric Gibbs

1.0k total citations
23 papers, 670 citations indexed

About

Eric Gibbs is a scholar working on Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eric Gibbs has authored 23 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Materials Chemistry and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eric Gibbs's work include RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (8 papers) and Protein Structure and Dynamics (5 papers). Eric Gibbs is often cited by papers focused on RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (8 papers) and Protein Structure and Dynamics (5 papers). Eric Gibbs collaborates with scholars based in United States, Switzerland and United Kingdom. Eric Gibbs's co-authors include Scott A. Showalter, Richard W. Kriwacki, Erik C. Cook, Chunlei Liu, Michele Tolbert, Mylene C. Ferrolino, Michael R. White, Bappaditya Chandra, Diana M. Mitrea and Sudha Chakrapani and has published in prestigious journals such as Nature Communications, Journal of Molecular Biology and The Journal of Physical Chemistry B.

In The Last Decade

Eric Gibbs

23 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Gibbs United States 14 501 101 70 69 51 23 670
Luke H. Bradley United States 15 531 1.1× 149 1.5× 71 1.0× 28 0.4× 121 2.4× 30 733
Vincent Schram United States 15 478 1.0× 36 0.4× 173 2.5× 53 0.8× 121 2.4× 18 898
Rongwen Lu United States 10 315 0.6× 129 1.3× 70 1.0× 75 1.1× 142 2.8× 14 742
Amanda M. Duran United States 10 414 0.8× 48 0.5× 31 0.4× 30 0.4× 100 2.0× 11 526
Nagaraj S. Moily India 11 175 0.3× 51 0.5× 28 0.4× 38 0.6× 83 1.6× 21 429
T D Lee United States 8 308 0.6× 34 0.3× 127 1.8× 116 1.7× 121 2.4× 12 623
Georg Holtermann Germany 13 400 0.8× 167 1.7× 20 0.3× 36 0.5× 39 0.8× 21 671
Michael A. Robichaux United States 12 277 0.6× 72 0.7× 17 0.2× 25 0.4× 155 3.0× 22 463
Matthew Sochor United States 8 253 0.5× 75 0.7× 103 1.5× 28 0.4× 28 0.5× 9 441
Brian Tenner United States 9 591 1.2× 36 0.4× 22 0.3× 19 0.3× 132 2.6× 13 736

Countries citing papers authored by Eric Gibbs

Since Specialization
Citations

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

Fields of papers citing papers by Eric Gibbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Gibbs

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Gibbs. A scholar is included among the top collaborators of Eric Gibbs 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 Eric Gibbs. Eric Gibbs 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.
Gibbs, Eric, Mylene C. Ferrolino, Richa Bajpai, et al.. (2024). p14ARF forms meso-scale assemblies upon phase separation with NPM1. Nature Communications. 15(1). 9531–9531. 7 indexed citations
2.
Gibbs, Eric, et al.. (2023). Conformational transitions and allosteric modulation in a heteromeric glycine receptor. Nature Communications. 14(1). 1363–1363. 21 indexed citations
3.
Gibbs, Eric, et al.. (2020). NPM1 Exhibits Structural and Dynamic Heterogeneity Upon Phase Separation with the Tumor Suppressor ARF. Biophysical Journal. 118(3). 539a–539a. 1 indexed citations
4.
Basak, Sandip, Steven Ramsey, Eric Gibbs, et al.. (2020). High-resolution structures of multiple 5-HT3AR-setron complexes reveal a novel mechanism of competitive inhibition. eLife. 9. 31 indexed citations
5.
Gibbs, Eric & Sudha Chakrapani. (2020). Structure, Function and Physiology of 5-Hydroxytryptamine Receptors Subtype 3. Sub-cellular biochemistry. 96. 373–408. 14 indexed citations
6.
Kriwacki, Richard W., Diana M. Mitrea, Mylene C. Ferrolino, et al.. (2019). The Ins and Outs of Phase Separation in Nucleolar Biology. Biophysical Journal. 116(3). 454a–454a. 2 indexed citations
7.
Gibbs, Eric, Barbara Perrone, Alia Hassan, Rainer Kümmerle, & Richard W. Kriwacki. (2019). NPM1 exhibits structural and dynamic heterogeneity upon phase separation with the p14ARF tumor suppressor. Journal of Magnetic Resonance. 310. 106646–106646. 22 indexed citations
8.
Mitrea, Diana M., Bappaditya Chandra, Mylene C. Ferrolino, et al.. (2018). Methods for Physical Characterization of Phase-Separated Bodies and Membrane-less Organelles. Journal of Molecular Biology. 430(23). 4773–4805. 123 indexed citations
9.
Gibbs, Eric & Richard W. Kriwacki. (2018). Direct detection of carbon and nitrogen nuclei for high-resolution analysis of intrinsically disordered proteins using NMR spectroscopy. Methods. 138-139. 39–46. 20 indexed citations
10.
Gibbs, Eric, Bede Portz, Michael J. Fisher, et al.. (2017). Phosphorylation induces sequence-specific conformational switches in the RNA polymerase II C-terminal domain. Nature Communications. 8(1). 15233–15233. 64 indexed citations
11.
Gibbs, Eric, Erik C. Cook, & Scott A. Showalter. (2017). Application of NMR to studies of intrinsically disordered proteins. Archives of Biochemistry and Biophysics. 628. 57–70. 77 indexed citations
12.
Portz, Bede, Eric Gibbs, Joshua E. Mayfield, et al.. (2017). Structural heterogeneity in the intrinsically disordered RNA polymerase II C-terminal domain. Nature Communications. 8(1). 15231–15231. 50 indexed citations
13.
Gibbs, Eric, et al.. (2017). Substrate Specificity of the Kinase P-TEFb towards the RNA Polymerase II C-Terminal Domain. Biophysical Journal. 113(9). 1909–1911. 2 indexed citations
14.
Showalter, Scott A. & Eric Gibbs. (2017). Phosphorylation Induces Sequence-Specific Conformational Switches in the RNA Polymerase II C-Terminal Domain. Biophysical Journal. 112(3). 509a–509a. 3 indexed citations
15.
Wei, Hongjiang, Eric Gibbs, Peida Zhao, et al.. (2017). Susceptibility tensor imaging and tractography of collagen fibrils in the articular cartilage. Magnetic Resonance in Medicine. 78(5). 1683–1690. 32 indexed citations
16.
Gibbs, Eric & Scott A. Showalter. (2016). Quantification of Compactness and Local Order in the Ensemble of the Intrinsically Disordered Protein FCP1. The Journal of Physical Chemistry B. 120(34). 8960–8969. 12 indexed citations
17.
Gibbs, Eric & Scott A. Showalter. (2015). Quantitative Biophysical Characterization of Intrinsically Disordered Proteins. Biochemistry. 54(6). 1314–1326. 41 indexed citations
18.
Gibbs, Eric, et al.. (2015). A primer for carbon‐detected NMR applications to intrinsically disordered proteins in solution. Concepts in Magnetic Resonance Part A. 44(1). 54–66. 36 indexed citations
19.
Gibbs, Eric & Chunlei Liu. (2015). Feasibility of Imaging Tissue Electrical Conductivity by Switching Field Gradients with MRI. Tomography. 1(2). 125–135. 10 indexed citations
20.
Fisher, Sheila, et al.. (1980). Short, sharp and only a little bit shocking. Probation Journal. 27(1). 3–6. 1 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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