Eric Karran

16.8k total citations · 7 hit papers
74 papers, 11.1k citations indexed

About

Eric Karran is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Eric Karran has authored 74 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Physiology, 28 papers in Molecular Biology and 15 papers in Pharmacology. Recurrent topics in Eric Karran's work include Alzheimer's disease research and treatments (39 papers), Cholinesterase and Neurodegenerative Diseases (13 papers) and Computational Drug Discovery Methods (11 papers). Eric Karran is often cited by papers focused on Alzheimer's disease research and treatments (39 papers), Cholinesterase and Neurodegenerative Diseases (13 papers) and Computational Drug Discovery Methods (11 papers). Eric Karran collaborates with scholars based in United Kingdom, United States and Belgium. Eric Karran's co-authors include Bart De Strooper, Marc Mercken, Iryna Benilova, Nigel M. Hooper, Anthony J. Turner, Gary Christie, Ralph Hyde, Viktor Lakics, Frank Boess and John Hardy and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Eric Karran

71 papers receiving 10.9k citations

Hit Papers

The amyloid cascade hypothesis for Alzheimer... 1997 2026 2006 2016 2011 2012 2000 2016 1997 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Karran United Kingdom 32 5.7k 4.5k 2.0k 1.7k 1.4k 74 11.1k
Yadong Huang United States 63 6.9k 1.2× 5.3k 1.2× 1.5k 0.8× 1.9k 1.1× 2.7k 1.9× 143 13.9k
Nobuhiro Suzuki Japan 49 6.7k 1.2× 5.1k 1.1× 1.2k 0.6× 670 0.4× 1.6k 1.1× 180 11.4k
Alex E. Roher United States 64 11.9k 2.1× 6.2k 1.4× 2.3k 1.2× 3.7k 2.1× 2.2k 1.6× 136 16.6k
Hui Zheng United States 73 8.4k 1.5× 7.2k 1.6× 2.1k 1.1× 3.0k 1.7× 3.3k 2.3× 165 17.1k
Michael P. Vitek United States 64 7.0k 1.2× 6.1k 1.4× 1.5k 0.8× 2.7k 1.6× 2.7k 1.9× 181 14.5k
Jorge R. Barrio United States 63 3.6k 0.6× 4.4k 1.0× 810 0.4× 811 0.5× 1.5k 1.0× 258 13.9k
Robert B. Petersen United States 60 4.2k 0.7× 8.4k 1.9× 1.1k 0.6× 3.3k 1.9× 1.1k 0.8× 175 13.0k
Mary Jo LaDu United States 51 7.1k 1.3× 3.8k 0.8× 1.3k 0.7× 1.9k 1.1× 2.0k 1.4× 105 9.6k
Takashi Saito Japan 53 5.1k 0.9× 3.9k 0.9× 1.0k 0.5× 2.6k 1.5× 1.9k 1.4× 285 10.6k
Nobuhisa Iwata Japan 50 6.8k 1.2× 4.4k 1.0× 1.8k 0.9× 2.2k 1.2× 2.9k 2.0× 142 11.6k

Countries citing papers authored by Eric Karran

Since Specialization
Citations

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

Fields of papers citing papers by Eric Karran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Karran

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Karran. A scholar is included among the top collaborators of Eric Karran 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 Karran. Eric Karran 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.
Strooper, Bart De & Eric Karran. (2024). New precision medicine avenues to the prevention of Alzheimer’s disease from insights into the structure and function of γ-secretases. The EMBO Journal. 43(6). 887–903. 15 indexed citations
3.
Li, Zhaozhi, Astrid Wachter, Ayush Noori, et al.. (2023). The APOEε4 allele exacerbates the transcriptomic responses to Aβ plaques and neurofibrillary tangles in Alzheimer’s disease. Alzheimer s & Dementia. 19(S1). 1 indexed citations
4.
Bryant, Annie G., Zhaozhi Li, Alberto Serrano‐Pozo, et al.. (2023). Endothelial Cells Are Heterogeneous in Different Brain Regions and Are Dramatically Altered in Alzheimer's Disease. Journal of Neuroscience. 43(24). 4541–4557. 31 indexed citations
5.
Schapansky, Jason, Yelena Y. Grinberg, Stephen G. Walker, et al.. (2020). MEK1/2 activity modulates TREM2 cell surface recruitment. Journal of Biological Chemistry. 296. 100218–100218. 10 indexed citations
6.
Frigerio, Carlo Sala, Leen Wolfs, Nicola Fattorelli, et al.. (2019). The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques. Cell Reports. 27(4). 1293–1306.e6. 539 indexed citations breakdown →
7.
Strooper, Bart De & Eric Karran. (2016). The Cellular Phase of Alzheimer’s Disease. Cell. 164(4). 603–615. 1280 indexed citations breakdown →
8.
Sancho, Rosa M., et al.. (2015). Report from the Alzheimer’s Research UK Conference 2015. Alzheimer s Research & Therapy. 7(1). 52–52. 1 indexed citations
9.
Karran, Eric, Marc Mercken, & Bart De Strooper. (2011). The amyloid cascade hypothesis for Alzheimer's disease: an appraisal for the development of therapeutics. Nature Reviews Drug Discovery. 10(9). 698–712. 1707 indexed citations breakdown →
10.
Lakics, Viktor, Eric Karran, & Frank Boess. (2010). Quantitative comparison of phosphodiesterase mRNA distribution in human brain and peripheral tissues. Neuropharmacology. 59(6). 367–374. 365 indexed citations
11.
Szekeres, Philip, et al.. (2008). Development of Homogeneous 384-Well High-Throughput Screening Assays for Aβ1-40 and Aβ1-42 Using AlphaScreen™ Technology. SLAS DISCOVERY. 13(2). 101–111. 31 indexed citations
12.
Jeffrey, Phil, Eric Karran, Alan M. Palmer, & Geoffrey Stemp. (2006). Translational sciences-turning drug-like molecules into medicines.. PubMed. 19(10). 659–63. 2 indexed citations
13.
Balyasnikova, Irina V., Eric Karran, Ronald F. Albrecht, & Sergei M. Danilov. (2002). Epitope-specific antibody-induced cleavage of angiotensin-converting enzyme from the cell surface. Biochemical Journal. 362(3). 585–595. 26 indexed citations
14.
Hooper, Nigel M., et al.. (2000). A Human Homolog of Angiotensin-converting Enzyme. Journal of Biological Chemistry. 275(43). 33238–33243. 1599 indexed citations breakdown →
15.
Carter, Paul S., Sandra Turconi, Gary Pettman, et al.. (2000). Expression, Purification, and Functional Analysis of the Human Serine Protease HtrA2. Protein Expression and Purification. 19(2). 227–234. 49 indexed citations
16.
Karran, Eric, David Allsop, Gary Christie, et al.. (1998). Presenilins – in search of functionality. Biochemical Society Transactions. 26(3). 491–496. 6 indexed citations
17.
Prihar, Guy, Rebecca Fuldner, Jordi Pérez‐Tur, et al.. (1996). Structure and alternative splicing of the Presenilin-2 gene. Neuroreport. 7(10). 1680–1684. 34 indexed citations
18.
Barton, A.J.L., Eric Karran, Frank Brown, et al.. (1996). Alteration in Brain Presenilin 1 mRNA Expression in Early Onset Familial Alzheimer's Disease. PubMed. 5(3). 213–218. 13 indexed citations
19.
Ward, Robin V., John B. Davis, Carol W. Gray, et al.. (1996). Presenilin–1 is Processed into Two Major Cleavage Products in Neuronal Cell Lines. PubMed. 5(4). 293–298. 26 indexed citations
20.
Karran, Eric, Tim Young, Roger E. Markwell, & Gregory P. Harper. (1995). In vivo model of cartilage degradation–effects of a matrix metalloproteinase inhibitor.. Annals of the Rheumatic Diseases. 54(8). 662–669. 20 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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