Hank Safferstein

773 total citations
6 papers, 143 citations indexed

About

Hank Safferstein is a scholar working on Pharmacology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Hank Safferstein has authored 6 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 4 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Hank Safferstein's work include Cholinesterase and Neurodegenerative Diseases (6 papers), Computational Drug Discovery Methods (4 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Hank Safferstein is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (6 papers), Computational Drug Discovery Methods (4 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Hank Safferstein collaborates with scholars based in United States. Hank Safferstein's co-authors include Susan M. Catalano, Nicholas J. Izzo, Kelsie Mozzoni, Steven T. DeKosky, Lon S. Schneider, Michael Grundman, Roger Morgan, Robert Guttendorf, Jason D. Lickliter and Raymond Yurko and has published in prestigious journals such as Journal of Neurochemistry, Alzheimer s & Dementia and Journal of Neuroscience Research.

In The Last Decade

Hank Safferstein

6 papers receiving 139 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hank Safferstein United States 5 95 58 46 38 19 6 143
Kelsie Mozzoni United States 4 69 0.7× 50 0.9× 39 0.8× 26 0.7× 17 0.9× 5 110
Elena Speretta United Kingdom 6 95 1.0× 48 0.8× 83 1.8× 34 0.9× 20 1.1× 8 191
Barbara Vogg Switzerland 4 70 0.7× 37 0.6× 78 1.7× 18 0.5× 37 1.9× 8 155
Courtney Rehak United States 4 62 0.7× 31 0.5× 26 0.6× 30 0.8× 8 0.4× 5 91
M. Hunter Giese United States 7 107 1.1× 33 0.6× 99 2.2× 33 0.9× 12 0.6× 12 233
Emily Miller United States 8 89 0.9× 34 0.6× 32 0.7× 91 2.4× 11 0.6× 13 242
Virginia Castillo Cano Spain 3 103 1.1× 30 0.5× 107 2.3× 12 0.3× 38 2.0× 3 154
Rudolph E. Tanzi United States 5 74 0.8× 29 0.5× 123 2.7× 27 0.7× 18 0.9× 14 183
Agnes Staniszewski United States 3 101 1.1× 37 0.6× 129 2.8× 81 2.1× 9 0.5× 3 211
F. Chen Canada 6 50 0.5× 21 0.4× 85 1.8× 25 0.7× 9 0.5× 11 132

Countries citing papers authored by Hank Safferstein

Since Specialization
Citations

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

Fields of papers citing papers by Hank Safferstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hank Safferstein

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

All Works

6 of 6 papers shown
1.
Yurko, Raymond, Nicholas J. Izzo, Courtney Rehak, et al.. (2021). Sigma‐2 receptor antagonists rescue neuronal dysfunction induced by Parkinson’s patient brain‐derived α‐synuclein. Journal of Neuroscience Research. 99(4). 1161–1176. 33 indexed citations
2.
LeVine, Harry, Nicholas J. Izzo, Raymond Yurko, et al.. (2020). Alzheimer’s protection effect of A673T mutation may be driven by lower Aβ oligomer binding affinity. Journal of Neurochemistry. 157(4). 1316–1330. 18 indexed citations
3.
Schneider, Lon S., Anthony O. Caggiano, Michael Grundman, et al.. (2019). P4‐708: CLINICAL BIOMARKER EVIDENCE FOR TARGET ENGAGEMENT, REDUCTION OF SYNAPTIC DAMAGE AND DISEASE MODIFICATION IN ALZHEIMER'S PATIENTS TREATED WITH CT1812. Alzheimer s & Dementia. 15(7S_Part_31). 2 indexed citations
4.
Grundman, Michael, Roger Morgan, Jason D. Lickliter, et al.. (2018). A phase 1 clinical trial of the sigma‐2 receptor complex allosteric antagonist CT1812, a novel therapeutic candidate for Alzheimer's disease. Alzheimer s & Dementia Translational Research & Clinical Interventions. 5(1). 20–26. 80 indexed citations
5.
Catalano, Susan M., Michael Grundman, Lon S. Schneider, et al.. (2017). [P4–567]: A PHASE 1 SAFETY TRIAL OF THE Aβ OLIGOMER RECEPTOR ANTAGONIST CT1812. Alzheimer s & Dementia. 13(7S_Part_32). 4 indexed citations
6.
Catalano, Susan M., Michael Grundman, Lon S. Schneider, et al.. (2016). P4‐381: A Two‐Part, Double‐Blind, Placebo‐Controlled, Phase 1 Study of the Safety and Pharmacokinetics of Single and Multiple Ascending Doses of CT1812 in Healthy Volunteers. Alzheimer s & Dementia. 12(7S_Part_24). 6 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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