Larry S. Eisner
- Biological Psychiatry top 1%
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Physiology top 1%
- Alzheimer's disease research and treatments 3
- Pharmacology top 1%
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- Migraine and Headache Studies 3
- Dementia and Cognitive Impairment Research 2
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- Trigeminal Neuralgia and Treatments 2
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- Machine Learning in Bioinformatics 1
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- Pituitary Gland Disorders and Treatments 1
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- Health Systems, Economic Evaluations, Quality of Life 1
- Journals
- Neurology (2 papers)Headache The Journal of Head and Face Pain (2 papers)Clinical Therapeutics (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Larry S. Eisner
8 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Biological Psychiatry 267
- Neurology 712
- Physiology 1.7k
- Pharmacology 630
- Computational Theory and Mathematics 516
Countries citing papers authored by Larry S. Eisner
This map shows the geographic impact of Larry S. Eisner'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 Larry S. Eisner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry S. Eisner more than expected).
Fields of papers citing papers by Larry S. Eisner
This network shows the impact of papers produced by Larry S. Eisner. 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 Larry S. Eisner. The network helps show where Larry S. Eisner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Larry S. Eisner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Clinical effects of Aβ immunization (AN1792) in patients with AD in an interrupted trialbreakdown → | 2005 | 992 |
| 2 | Subacute meningoencephalitis in a subset of patients with AD after Aβ42 immunizationbreakdown → | 2003 | 1052 |
| 3 | 1999 | 12 | |
| 4 | [Emergency carotid endarterectomy in acute infarction--case report and literature review]. | 1996 | 1 |
| 5 | 1991 | 15 | |
| 6 | 1989 | 13 | |
| 7 | 1988 | 25 | |
| 8 | 1985 | 46 |
About Larry S. Eisner
Larry S. Eisner is a scholar working on Psychiatry and Mental health, Neurology, Sensory Systems, Physiology and Pathology and Forensic Medicine, having authored 8 papers that have together received 2.2k indexed citations. Recurring topics across this work include Migraine and Headache Studies (3 papers), Alzheimer's disease research and treatments (3 papers), Trigeminal Neuralgia and Treatments (2 papers), Dementia and Cognitive Impairment Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Machine Learning in Bioinformatics (1 paper), Pituitary Gland Disorders and Treatments (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Biological Psychiatry (267 citations), Neurology (712 citations), Physiology (1.7k citations), Pharmacology (630 citations) and Computational Theory and Mathematics (516 citations). Larry S. Eisner has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Merçé Boada, S. Gilman, L. Kirby, F. Forette, Sue G. Griffith, Nick C. Fox, M. Köller, Lisa Jenkins, Jean‐Marc Orgogozo and J. M. Orgogozo. Their work appears in journals such as Neurology, Headache The Journal of Head and Face Pain, Clinical Therapeutics, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Medical Clinics of North America.
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.