Eric L. Harshfield

2.0k total citations
27 papers, 768 citations indexed

About

Eric L. Harshfield is a scholar working on Epidemiology, Neurology and Genetics. According to data from OpenAlex, Eric L. Harshfield has authored 27 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 7 papers in Neurology and 7 papers in Genetics. Recurrent topics in Eric L. Harshfield's work include Genetic Associations and Epidemiology (7 papers), Acute Ischemic Stroke Management (6 papers) and Neurological Disease Mechanisms and Treatments (5 papers). Eric L. Harshfield is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Acute Ischemic Stroke Management (6 papers) and Neurological Disease Mechanisms and Treatments (5 papers). Eric L. Harshfield collaborates with scholars based in United Kingdom, United States and Netherlands. Eric L. Harshfield's co-authors include Hugh S. Markus, Rainer Malik, Stephen Burgess, Martin Dichgans, Marios K. Georgakis, Steven Bell, Daniel J. Tozer, Amidou Samie, Ezekiel Green and Claudia Langenberg and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Brain.

In The Last Decade

Eric L. Harshfield

24 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric L. Harshfield United Kingdom 17 153 147 119 114 103 27 768
Bindu Menon India 18 50 0.3× 217 1.5× 162 1.4× 154 1.4× 79 0.8× 65 1.1k
Petra Belcredi Germany 11 50 0.3× 401 2.7× 190 1.6× 128 1.1× 64 0.6× 15 1.0k
Tong Chen China 15 35 0.2× 120 0.8× 117 1.0× 68 0.6× 33 0.3× 54 692
Yanfeng Wu China 19 52 0.3× 308 2.1× 42 0.4× 86 0.8× 49 0.5× 53 879
Asija Začiragić Bosnia and Herzegovina 14 97 0.6× 133 0.9× 39 0.3× 129 1.1× 35 0.3× 51 1000
Ya‐Ping Huang China 18 41 0.3× 152 1.0× 110 0.9× 247 2.2× 32 0.3× 54 897
Azra Alajbegović Bosnia and Herzegovina 15 30 0.2× 196 1.3× 53 0.4× 119 1.0× 63 0.6× 54 791

Countries citing papers authored by Eric L. Harshfield

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eric L. Harshfield

This figure shows the co-authorship network connecting the top 25 collaborators of Eric L. Harshfield. A scholar is included among the top collaborators of Eric L. Harshfield 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 L. Harshfield. Eric L. Harshfield 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.
Harshfield, Eric L., Frank‐Erik de Leeuw, Stephen Burgess, et al.. (2025). Proteins Involved in Endothelial Function and Inflammation Are Implicated in Cerebral Small Vessel Disease. Stroke. 56(3). 692–704.
2.
Li, Rui, Eric L. Harshfield, Steven Bell, et al.. (2024). Predicting Incident Dementia in Cerebral Small Vessel Disease: Comparison of Machine Learning and Traditional Statistical Models. SHILAP Revista de lepidopterología. 6. 100235–100235.
3.
Castro, Cecilia, Eric L. Harshfield, Adam S. Butterworth, et al.. (2024). A lipidomic dataset for epidemiological studies of acute myocardial infarction. Data in Brief. 57. 110925–110925. 1 indexed citations
4.
Koohi, Fatemeh, Eric L. Harshfield, Aleksey Shatunov, & Hugh S. Markus. (2024). Does Thrombosis Play a Causal Role in Lacunar Stroke and Cerebral Small Vessel Disease?. Stroke. 55(4). 934–942. 6 indexed citations
5.
Brown, Robin, Daniel J. Tozer, Laurence Loubière, et al.. (2024). MINocyclinE to Reduce inflammation and blood‐brain barrier leakage in small Vessel diseAse (MINERVA): A phase II, randomized, double‐blind, placebo‐controlled experimental medicine trial. Alzheimer s & Dementia. 20(6). 3852–3863. 13 indexed citations
6.
Winchester, Laura, Eric L. Harshfield, AmanPreet Badhwar, et al.. (2023). Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia. Alzheimer s & Dementia. 19(12). 5860–5871. 58 indexed citations
7.
Harshfield, Eric L., Steven Bell, Michael C. Burkhart, et al.. (2023). Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models. SHILAP Revista de lepidopterología. 5. 100179–100179. 6 indexed citations
8.
Lyall, Donald M., Andrey Kormilitzin, Claire Lancaster, et al.. (2023). Artificial intelligence for dementia—Applied models and digital health. Alzheimer s & Dementia. 19(12). 5872–5884. 30 indexed citations
9.
Harshfield, Eric L. & Hugh S. Markus. (2023). Association of Baseline Metabolomic Profiles With Incident Stroke and Dementia and With Imaging Markers of Cerebral Small Vessel Disease. Neurology. 101(5). e489–e501. 16 indexed citations
10.
Harshfield, Eric L., Caroline Sands, Anil M. Tuladhar, et al.. (2022). Metabolomic profiling in small vessel disease identifies multiple associations with disease severity. Brain. 145(7). 2461–2471. 32 indexed citations
11.
Tozer, Daniel J., et al.. (2022). Central obesity is selectively associated with cerebral gray matter atrophy in 15,634 subjects in the UK Biobank. International Journal of Obesity. 46(5). 1059–1067. 22 indexed citations
12.
Georgakis, Marios K., Eric L. Harshfield, Rainer Malik, et al.. (2021). Diabetes Mellitus, Glycemic Traits, and Cerebrovascular Disease. Neurology. 96(13). e1732–e1742. 85 indexed citations
13.
Harshfield, Eric L., Marios K. Georgakis, Rainer Malik, Martin Dichgans, & Hugh S. Markus. (2021). Modifiable Lifestyle Factors and Risk of Stroke. Stroke. 52(3). 931–936. 56 indexed citations
14.
Nannoni, Stefania, Eric L. Harshfield, Daniel J. Tozer, et al.. (2021). NOTCH3 variants are more common than expected in the general population and associated with stroke and vascular dementia: an analysis of 200 000 participants. Journal of Neurology Neurosurgery & Psychiatry. 92(7). 694–701. 43 indexed citations
15.
Bell, Steven, Joel T. Gibson, Eric L. Harshfield, & Hugh S. Markus. (2020). Is periodontitis a risk factor for ischaemic stroke, coronary artery disease and subclinical atherosclerosis? A Mendelian randomization study. Atherosclerosis. 313. 111–117. 30 indexed citations
16.
Stacey, David, Eric B. Fauman, Daniel Ziemek, et al.. (2018). ProGeM: a framework for the prioritization of candidate causal genes at molecular quantitative trait loci. Nucleic Acids Research. 47(1). e3–e3. 57 indexed citations
17.
Laan, Sander W. van der, Eric L. Harshfield, Daiane Hemerich, et al.. (2018). From lipid locus to drug target through human genomics. Cardiovascular Research. 114(9). 1258–1270. 21 indexed citations
18.
Burgess, Stephen & Eric L. Harshfield. (2016). Mendelian randomization to assess causal effects of blood lipids on coronary heart disease. Current Opinion in Endocrinology Diabetes and Obesity. 23(2). 124–130. 43 indexed citations
19.
Harshfield, Eric L., et al.. (2015). Association of hypertension and hyperglycaemia with socioeconomic contexts in resource-poor settings: the Bangladesh Demographic and Health Survey. International Journal of Epidemiology. 44(5). 1625–1636. 38 indexed citations
20.

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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