Christopher E. Ellis

2.8k total citations · 2 hit papers
7 papers, 2.2k citations indexed

About

Christopher E. Ellis is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Christopher E. Ellis has authored 7 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Christopher E. Ellis's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological disorders and treatments (2 papers) and Neurological diseases and metabolism (2 papers). Christopher E. Ellis is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological disorders and treatments (2 papers) and Neurological diseases and metabolism (2 papers). Christopher E. Ellis collaborates with scholars based in United States. Christopher E. Ellis's co-authors include Robert L. Nussbaum, Nelson B. Cole, Declan Murphy, Amy Chen, Richard Paylor, Deborah E. Cabin, Bai Lu, Bonnie M. Orrison, Kazuhiro Shimazu and Wolfram Gottschalk and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Christopher E. Ellis

7 papers receiving 2.2k citations

Hit Papers

Alzheimer's Disease and Parkinson's Disease 2002 2026 2010 2018 2003 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher E. Ellis United States 6 1.4k 751 751 614 279 7 2.2k
Wei‐Ping Gai Australia 25 1.2k 0.9× 828 1.1× 744 1.0× 692 1.1× 366 1.3× 35 2.3k
Andrei Surguchov United States 30 1.2k 0.9× 789 1.1× 660 0.9× 1.4k 2.3× 364 1.3× 78 3.0k
Mitsutoshi Yamamoto Japan 28 1.4k 1.0× 705 0.9× 327 0.4× 445 0.7× 267 1.0× 69 2.1k
Akiko Kawashima Japan 13 1.6k 1.2× 763 1.0× 812 1.1× 553 0.9× 430 1.5× 24 2.5k
Asako Yoritaka Japan 20 1.2k 0.8× 584 0.8× 436 0.6× 690 1.1× 311 1.1× 48 2.2k
Silvia Cerri Italy 26 1.1k 0.8× 584 0.8× 473 0.6× 714 1.2× 336 1.2× 61 2.3k
Nadine Tatton United States 21 925 0.7× 832 1.1× 372 0.5× 1.2k 1.9× 278 1.0× 30 2.5k
Judith A. Potashkin United States 31 870 0.6× 598 0.8× 547 0.7× 1.8k 2.9× 313 1.1× 67 3.2k
Heather McCann Australia 23 1.1k 0.8× 520 0.7× 811 1.1× 438 0.7× 410 1.5× 39 2.0k
Roland G. W. Staal United States 18 1.1k 0.8× 1.2k 1.6× 353 0.5× 765 1.2× 398 1.4× 24 2.5k

Countries citing papers authored by Christopher E. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Christopher E. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher E. Ellis. 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 Christopher E. Ellis. The network helps show where Christopher E. Ellis may publish in the future.

Co-authorship network of co-authors of Christopher E. Ellis

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

All Works

7 of 7 papers shown
1.
McFarland, Melinda A., Christopher E. Ellis, Sanford P. Markey, & Robert L. Nussbaum. (2008). Proteomics Analysis Identifies Phosphorylation-dependent α-Synuclein Protein Interactions. Molecular & Cellular Proteomics. 7(11). 2123–2137. 147 indexed citations
2.
Ellis, Christopher E., Eric J. Murphy, Drake C. Mitchell, et al.. (2005). Mitochondrial Lipid Abnormality and Electron Transport Chain Impairment in Mice Lacking α-Synuclein. Molecular and Cellular Biology. 25(22). 10190–10201. 226 indexed citations
3.
Nussbaum, Robert L. & Christopher E. Ellis. (2003). Alzheimer's Disease and Parkinson's Disease. New England Journal of Medicine. 348(14). 1356–1364. 1018 indexed citations breakdown →
4.
Cabin, Deborah E., Kazuhiro Shimazu, Declan Murphy, et al.. (2002). Synaptic Vesicle Depletion Correlates with Attenuated Synaptic Responses to Prolonged Repetitive Stimulation in Mice Lacking α-Synuclein. Journal of Neuroscience. 22(20). 8797–8807. 695 indexed citations breakdown →
5.
Ellis, Christopher E., et al.. (2001). α-Synuclein Is Phosphorylated by Members of the Src Family of Protein-tyrosine Kinases. Journal of Biological Chemistry. 276(6). 3879–3884. 135 indexed citations
6.
Ellis, Christopher E. & Thomas Frielle. (1999). Characterization of Two Human β1-Adrenergic Receptor Transcripts: Cloning and Alterations in the Failing Heart. Biochemical and Biophysical Research Communications. 258(3). 552–558. 3 indexed citations
7.
Evanko, Daniel, et al.. (1998). Preliminary Analysis of the Transcriptional Regulation of the Human β1-Adrenergic Receptor Gene. Biochemical and Biophysical Research Communications. 244(2). 395–402. 5 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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