Eric D. Ross

5.1k total citations
69 papers, 2.8k citations indexed

About

Eric D. Ross is a scholar working on Molecular Biology, Neurology and Nutrition and Dietetics. According to data from OpenAlex, Eric D. Ross has authored 69 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 19 papers in Neurology and 16 papers in Nutrition and Dietetics. Recurrent topics in Eric D. Ross's work include Prion Diseases and Protein Misfolding (36 papers), RNA Research and Splicing (21 papers) and Neurological diseases and metabolism (18 papers). Eric D. Ross is often cited by papers focused on Prion Diseases and Protein Misfolding (36 papers), RNA Research and Splicing (21 papers) and Neurological diseases and metabolism (18 papers). Eric D. Ross collaborates with scholars based in United States, Russia and Japan. Eric D. Ross's co-authors include Reed B. Wickner, Sean M. Cascarina, James A. Toombs, Brian Johnson, David O. Toft, Robert J. Schumacher, Ulrich Baxa, Herman K. Edskes, P B Gorelick and Xu Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Eric D. Ross

69 papers receiving 2.8k 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 D. Ross United States 28 2.2k 518 430 337 284 69 2.8k
Stylianos Michalakis Germany 39 4.8k 2.2× 250 0.5× 297 0.7× 162 0.5× 253 0.9× 155 6.0k
Régis Grailhe South Korea 29 2.1k 1.0× 286 0.6× 492 1.1× 63 0.2× 175 0.6× 55 3.5k
Michael L. Mimmack United Kingdom 25 1.8k 0.8× 195 0.4× 451 1.0× 183 0.5× 295 1.0× 33 3.6k
Benoı̂t Schneider France 25 1.4k 0.7× 379 0.7× 284 0.7× 276 0.8× 53 0.2× 111 2.2k
Robert M. Johnson United States 32 1.0k 0.5× 461 0.9× 688 1.6× 101 0.3× 434 1.5× 106 3.0k
David W. Sanders United States 14 2.5k 1.2× 677 1.3× 1.5k 3.6× 78 0.2× 205 0.7× 18 3.9k
Hidemitsu Sugihara Japan 13 1.8k 0.9× 313 0.6× 223 0.5× 117 0.3× 443 1.6× 22 3.1k
Wei Hong China 25 1.0k 0.5× 254 0.5× 749 1.7× 75 0.2× 115 0.4× 43 2.2k
Michael J. Devine United Kingdom 26 1.6k 0.7× 305 0.6× 701 1.6× 88 0.3× 130 0.5× 55 3.2k
Hao Huang China 32 1.4k 0.6× 186 0.4× 215 0.5× 164 0.5× 273 1.0× 170 3.4k

Countries citing papers authored by Eric D. Ross

Since Specialization
Citations

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

Fields of papers citing papers by Eric D. Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric D. Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Eric D. Ross. A scholar is included among the top collaborators of Eric D. Ross 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 D. Ross. Eric D. Ross 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.
Cascarina, Sean M. & Eric D. Ross. (2025). Protein activities driven by amino acid composition. Journal of Biological Chemistry. 301(10). 110640–110640. 1 indexed citations
2.
Cascarina, Sean M., et al.. (2024). Rational Tuning of the Concentration-independent Enrichment of Prion-like Domains in Stress Granules. Journal of Molecular Biology. 436(18). 168703–168703. 1 indexed citations
3.
Cascarina, Sean M. & Eric D. Ross. (2022). Expansion and functional analysis of the SR-related protein family across the domains of life. RNA. 28(10). 1298–1314. 12 indexed citations
4.
Cascarina, Sean M. & Eric D. Ross. (2022). Phase separation by the SARS-CoV-2 nucleocapsid protein: Consensus and open questions. Journal of Biological Chemistry. 298(3). 101677–101677. 56 indexed citations
5.
Cascarina, Sean M., et al.. (2020). Atypical structural tendencies among low-complexity domains in the Protein Data Bank proteome. PLoS Computational Biology. 16(1). e1007487–e1007487. 24 indexed citations
6.
Cascarina, Sean M. & Eric D. Ross. (2020). Natural and pathogenic protein sequence variation affecting prion-like domains within and across human proteomes. BMC Genomics. 21(1). 23–23. 5 indexed citations
7.
Cascarina, Sean M., et al.. (2019). The prion-like protein kinase Sky1 is required for efficient stress granule disassembly. Nature Communications. 10(1). 3614–3614. 34 indexed citations
8.
Cascarina, Sean M., et al.. (2019). Sky1: at the intersection of prion-like proteins and stress granule regulation. Current Genetics. 66(3). 463–468. 1 indexed citations
9.
Cascarina, Sean M. & Eric D. Ross. (2018). Proteome-scale relationships between local amino acid composition and protein fates and functions. PLoS Computational Biology. 14(9). e1006256–e1006256. 29 indexed citations
10.
Li, Songqing, Peipei Zhang, Brian D. Freibaum, et al.. (2016). Genetic interaction of hnRNPA2B1 and DNAJB6 in aDrosophilamodel of multisystem proteinopathy. Human Molecular Genetics. 25(5). 936–950. 24 indexed citations
11.
Cascarina, Sean M. & Eric D. Ross. (2014). Yeast prions and human prion-like proteins: sequence features and prediction methods. Cellular and Molecular Life Sciences. 71(11). 2047–2063. 43 indexed citations
12.
Toombs, James A., et al.. (2011). [PSI+] Maintenance Is Dependent on the Composition, Not Primary Sequence, of the Oligopeptide Repeat Domain. PLoS ONE. 6(7). e21953–e21953. 27 indexed citations
13.
Prodan, Călin I., Linda D. Cowan, Julie A. Stoner, & Eric D. Ross. (2009). Cumulative incidence of vitamin B12 deficiency in patients with Alzheimer disease. Journal of the Neurological Sciences. 284(1-2). 144–148. 13 indexed citations
14.
Sorocco, Kristen H., Marilee Monnot, Andrea S. Vincent, Eric D. Ross, & William R. Lovallo. (2009). Deficits in Affective Prosody Comprehension: Family History of Alcoholism versus Alcohol Exposure. Alcohol and Alcoholism. 45(1). 25–29. 5 indexed citations
15.
Bharucha, Kersi J., Joseph H. Friedman, Andrea S. Vincent, & Eric D. Ross. (2008). Lower serum ceruloplasmin levels correlate with younger age of onset in Parkinson’s disease. Journal of Neurology. 255(12). 1957–1962. 55 indexed citations
16.
Hansen, Jeffrey C., Xu Lu, Eric D. Ross, & Robert W. Woody. (2005). Intrinsic Protein Disorder, Amino Acid Composition, and Histone Terminal Domains. Journal of Biological Chemistry. 281(4). 1853–1856. 206 indexed citations
17.
Ross, Eric D. & Reed B. Wickner. (2004). Prions of yeast fail to elicit a transcriptional response. Yeast. 21(11). 963–972. 5 indexed citations
18.
Wickner, Reed B., Herman K. Edskes, Brian Roberts, et al.. (2004). Prions: proteins as genes and infectious entities. Genes & Development. 18(5). 470–485. 65 indexed citations
19.
Ross, Eric D.. (2001). Affective-prosodic deficits in schizophrenia: profiles of patients with brain damage and comparison with relation to schizophrenic symptoms. Journal of Neurology Neurosurgery & Psychiatry. 70(5). 597–604. 93 indexed citations
20.
Ross, Eric D., et al.. (2000). DNA constraints on transcription activation in Vitro. Journal of Molecular Biology. 297(2). 321–334. 18 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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