Eric L. Harshfield
Impact in
- Health Informatics top 10%
- Neurology top 10%
- Cerebrovascular and genetic disorders
- Neurological Disease Mechanisms and Treatments
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in
- Genetics 5
- Genetic Associations and Epidemiology 5
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- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Hugh S. Markus (16 shared papers)Martin Dichgans (2 shared papers)Rainer Malik (2 shared papers)Marios K. Georgakis (2 shared papers)Stephen Burgess (3 shared papers)Steven Bell (5 shared papers)Daniel J. Tozer (6 shared papers)Pascal Bessong (1 shared paper)
- Journals
- Neurology (3 papers)Alzheimer s & Dementia (3 papers)Brain (3 papers)Stroke (3 papers)Journal of Neurology Neurosurgery & Psychiatry (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Eric L. Harshfield
25 papers receiving 810 citations
Peers
Comparison fields: 5 of 96
- Health Informatics 14
- Neurology 79
- Neurology 106
- Periodontics 21
- Genetics 117
Countries citing papers authored by Eric L. Harshfield
This map shows the geographic impact of Eric L. Harshfield'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 L. Harshfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric L. Harshfield more than expected).
Fields of papers citing papers by Eric L. Harshfield
This network shows the impact of papers produced by Eric L. Harshfield. 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 L. Harshfield. The network helps show where Eric L. Harshfield may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric L. Harshfield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2023 | 71 | |
| 3 | 2010 | 68 | |
| 4 | 2021 | 66 | |
| 5 | 2018 | 57 | |
| 6 | 2021 | 44 | |
| 7 | 2016 | 44 | |
| 8 | 2019 | 43 | |
| 9 | 2015 | 40 | |
| 10 | 2012 | 36 | |
| 11 | 2023 | 36 | |
| 12 | 2022 | 34 | |
| 13 | 2022 | 31 | |
| 14 | 2020 | 31 | |
| 15 | 2022 | 23 | |
| 16 | 2018 | 22 | |
| 17 | 2023 | 22 | |
| 18 | 2023 | 20 | |
| 19 | 2024 | 19 | |
| 20 | 2024 | 17 |
About Eric L. Harshfield
Eric L. Harshfield is a scholar working on Genetics, Molecular Biology, Neurology, Epidemiology and Neurology, having authored 28 papers that have together received 829 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Acute Ischemic Stroke Management (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Cerebrovascular and genetic disorders (2 papers), Dementia and Cognitive Impairment Research (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Health Informatics (14 citations), Neurology (79 citations), Neurology (106 citations), Periodontics (21 citations) and Genetics (117 citations). Eric L. Harshfield has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Hugh S. Markus, Martin Dichgans, Rainer Malik, Marios K. Georgakis, Stephen Burgess, Steven Bell, Daniel J. Tozer, Pascal Bessong, Claudia Langenberg and Amidou Samie. Their work appears in journals such as Neurology, Alzheimer s & Dementia, Brain, Stroke and Journal of Neurology Neurosurgery & Psychiatry.
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.