Eric K. Fredrickson

1.3k total citations
17 papers, 1.0k citations indexed

About

Eric K. Fredrickson is a scholar working on Molecular Biology, Cell Biology and Rehabilitation. According to data from OpenAlex, Eric K. Fredrickson has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cell Biology and 5 papers in Rehabilitation. Recurrent topics in Eric K. Fredrickson's work include Ubiquitin and proteasome pathways (7 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Stroke Rehabilitation and Recovery (5 papers). Eric K. Fredrickson is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Stroke Rehabilitation and Recovery (5 papers). Eric K. Fredrickson collaborates with scholars based in United States and Israel. Eric K. Fredrickson's co-authors include Richard G. Gardner, Janis J. Daly, Robert L. Ruff, Melissa N. Locke, Joel C. Rosenbaum, Jean Rogers, Kristen Roenigk, Lauren A. Richardson, Mark Dohring and Daniel E. Gottschling and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.

In The Last Decade

Eric K. Fredrickson

17 papers receiving 988 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 K. Fredrickson United States 15 496 284 253 194 147 17 1.0k
Katrina Reardon Australia 16 419 0.8× 33 0.1× 93 0.4× 72 0.4× 102 0.7× 37 1.2k
Karl Olsson Sweden 12 220 0.4× 130 0.5× 109 0.4× 83 0.4× 36 0.2× 17 758
Muzamil Majid Khan Germany 16 707 1.4× 73 0.3× 192 0.8× 95 0.5× 46 0.3× 22 1.0k
Mary T. Joy United States 10 208 0.4× 148 0.5× 34 0.1× 32 0.2× 32 0.2× 13 735
Emily E. Miller United States 12 260 0.5× 12 0.0× 61 0.2× 76 0.4× 42 0.3× 32 635
Christopher R. Hayworth United States 11 449 0.9× 91 0.3× 56 0.2× 100 0.5× 21 0.1× 13 1.1k
Rami R. Garg Canada 11 313 0.6× 35 0.1× 110 0.4× 197 1.0× 31 0.2× 12 1.1k
H Berger Netherlands 18 348 0.7× 14 0.0× 36 0.1× 61 0.3× 135 0.9× 32 1.2k
Samih Badarny Israel 16 68 0.1× 25 0.1× 51 0.2× 59 0.3× 53 0.4× 37 589
Keigo Kawabata Japan 17 265 0.5× 34 0.1× 376 1.5× 54 0.3× 38 0.3× 35 919

Countries citing papers authored by Eric K. Fredrickson

Since Specialization
Citations

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

Fields of papers citing papers by Eric K. Fredrickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric K. Fredrickson

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

All Works

17 of 17 papers shown
1.
Fredrickson, Eric K., JiaBei Lin, Edward Chuang, et al.. (2019). The extent of Ssa1/Ssa2 Hsp70 chaperone involvement in nuclear protein quality control degradation varies with the substrate. Molecular Biology of the Cell. 31(3). 221–233. 14 indexed citations
2.
Rendón, Olga Zurita, Eric K. Fredrickson, Conor J Howard, et al.. (2018). Vms1p is a release factor for the ribosome-associated quality control complex. Nature Communications. 9(1). 2197–2197. 85 indexed citations
3.
Fredrickson, Eric K., T. Cameron Waller, Olga Zurita Rendón, et al.. (2017). Sterol Oxidation Mediates Stress-Responsive Vms1 Translocation to Mitochondria. Molecular Cell. 68(4). 673–685.e6. 34 indexed citations
4.
Fredrickson, Eric K., et al.. (2016). The San1 Ubiquitin Ligase Functions Preferentially with Ubiquitin-conjugating Enzyme Ubc1 during Protein Quality Control. Journal of Biological Chemistry. 291(36). 18778–18790. 11 indexed citations
5.
Fredrickson, Eric K., et al.. (2013). Means of self-preservation: how an intrinsically disordered ubiquitin-protein ligase averts self-destruction. Molecular Biology of the Cell. 24(7). 1041–1052. 20 indexed citations
6.
Fredrickson, Eric K., et al.. (2013). Substrate Recognition in Nuclear Protein Quality Control Degradation Is Governed by Exposed Hydrophobicity That Correlates with Aggregation and Insolubility. Journal of Biological Chemistry. 288(9). 6130–6139. 40 indexed citations
7.
Richardson, Lauren A., Benjamin J. Reed, J. Michael Charette, et al.. (2012). A Conserved Deubiquitinating Enzyme Controls Cell Growth by Regulating RNA Polymerase I Stability. Cell Reports. 2(2). 372–385. 52 indexed citations
8.
Fredrickson, Eric K. & Richard G. Gardner. (2012). Selective destruction of abnormal proteins by ubiquitin-mediated protein quality control degradation. Seminars in Cell and Developmental Biology. 23(5). 530–537. 50 indexed citations
9.
Fredrickson, Eric K., et al.. (2011). Exposed hydrophobicity is a key determinant of nuclear quality control degradation. Molecular Biology of the Cell. 22(13). 2384–2395. 79 indexed citations
10.
Rosenbaum, Joel C., Eric K. Fredrickson, Carrie M. Garrett-Engele, et al.. (2011). Disorder Targets Misorder in Nuclear Quality Control Degradation: A Disordered Ubiquitin Ligase Directly Recognizes Its Misfolded Substrates. Molecular Cell. 41(1). 93–106. 160 indexed citations
11.
Yin, Fang, Janis J. Daly, Jiayang Sun, et al.. (2009). Functional corticomuscular connection during reaching is weakened following stroke. Clinical Neurophysiology. 120(5). 994–1002. 103 indexed citations
12.
Fredrickson, Eric K., Robert L. Ruff, & Janis J. Daly. (2007). Physiological Cost Index as a Proxy Measure for the Oxygen Cost of Gait in Stroke Patients. Neurorehabilitation and neural repair. 21(5). 429–434. 49 indexed citations
13.
Daly, Janis J., et al.. (2006). Intra-limb coordination deficit in stroke survivors and response to treatment. Gait & Posture. 25(3). 412–418. 36 indexed citations
14.
Daly, Janis J., Neville Hogan, Hermano Igo Krebs, et al.. (2005). Response to upper-limb robotics and functional neuromuscular. The Journal of Rehabilitation Research and Development. 42(6). 723–723. 130 indexed citations
15.
Daly, Janis J., Kristen Roenigk, J. David Holcomb, et al.. (2005). A Randomized Controlled Trial of Functional Neuromuscular Stimulation in Chronic Stroke Subjects. Stroke. 37(1). 172–178. 97 indexed citations
16.
Daly, Janis J., Kristen Roenigk, Jennifer Gansen, et al.. (2004). Response of sagittal plane gait kinematics to weight-supported treadmill training and functional neuromuscular stimulation following stroke. The Journal of Rehabilitation Research and Development. 41(6). 807–807. 34 indexed citations
17.
Berman, Nancy E.J. & Eric K. Fredrickson. (1992). Morphology and laminar distribution of neuropeptide Y immunoreactive neurons in the human striate cortex. Synapse. 11(1). 20–27. 13 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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