Hank Safferstein

773 citations
6 papers · 143 · h-index 5

Impact in

Papers in

    • Cholinesterase and Neurodegenerative Diseases 6
    • Pharmacological Receptor Mechanisms and Effects 3
    • Receptor Mechanisms and Signaling 1

Hank Safferstein

6 papers receiving 139 citations

Peers

Hank Safferstein
Comparison fields: 5 of 32
  • Biological Psychiatry 13
  • Pharmacology 58
  • Cellular and Molecular Neuroscience 38
  • Physiology 46
  • Neurology 13
Replace Kelsie Mozzoni with:
Kelsie Mozzoni United States
Courtney Rehak United States
Rudolph E. Tanzi United States
Enrica Diodato Italy
Tomohiro Onishi Japan
Barbara Vogg Switzerland
F. Chen Canada
Elena Speretta United Kingdom
George Diamantidis United States
Emily Miller United States
Hank Safferstein relative to Kelsie Mozzoni United States Kelsie Mozzoni's profile →
Citations per field
00.5×1.5×1.9×
Kelsie Mozzoni · 1×
Citations per year

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-authors

The 16 scholars most cited alongside Hank Safferstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hank Safferstein Line = papers co-authored together Hank Safferstein links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201880
2 202133
3 202018
4 20166
5 20174
6 20192

About Hank Safferstein

Hank Safferstein is a scholar working on Pharmacology, Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Physiology, having authored 6 papers that have together received 143 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (6 papers), Computational Drug Discovery Methods (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Attention Deficit Hyperactivity Disorder (1 paper), Alzheimer's disease research and treatments (1 paper), Epilepsy research and treatment (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Biological Psychiatry (13 citations), Pharmacology (58 citations), Cellular and Molecular Neuroscience (38 citations), Physiology (46 citations) and Neurology (13 citations). Hank Safferstein has collaborated with scholars based in United States. Frequent co-authors include Susan M. Catalano, Nicholas J. Izzo, Kelsie Mozzoni, Roger Morgan, Steven T. DeKosky, Michael Grundman, Lon S. Schneider, Jason D. Lickliter, Robert Guttendorf and Raymond Yurko. Their work appears in journals such as Alzheimer s & Dementia, Alzheimer s & Dementia Translational Research & Clinical Interventions, Journal of Neurochemistry and Journal of Neuroscience Research.

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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