David H. Wilson

6.0k total citations
89 papers, 4.0k citations indexed

About

David H. Wilson is a scholar working on Surgery, Molecular Biology and Physiology. According to data from OpenAlex, David H. Wilson has authored 89 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 20 papers in Molecular Biology and 18 papers in Physiology. Recurrent topics in David H. Wilson's work include Alzheimer's disease research and treatments (10 papers), Dementia and Cognitive Impairment Research (8 papers) and Traumatic Brain Injury and Neurovascular Disturbances (8 papers). David H. Wilson is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Dementia and Cognitive Impairment Research (8 papers) and Traumatic Brain Injury and Neurovascular Disturbances (8 papers). David H. Wilson collaborates with scholars based in United Kingdom, United States and Australia. David H. Wilson's co-authors include David C. Duffy, David R. Fournier, Lei Chang, Kaj Blennow, Purvish P. Patel, Henrik Zetterberg, David M. Rissin, Tomasz Piech, Jeffrey Randall and Anne Taylor and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Nature Communications.

In The Last Decade

David H. Wilson

85 papers receiving 3.8k citations

Peers

David H. Wilson
Lilian S. Murray United Kingdom
David H. Wilson
Citations per year, relative to David H. Wilson David H. Wilson (= 1×) peers Lilian S. Murray

Countries citing papers authored by David H. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by David H. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David H. Wilson. 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 David H. Wilson. The network helps show where David H. Wilson may publish in the future.

Co-authorship network of co-authors of David H. Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Wilson. A scholar is included among the top collaborators of David H. Wilson 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 David H. Wilson. David H. Wilson 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.
Dolan, Conor V., David H. Wilson, Lannie Ligthart, et al.. (2025). Genetic and environmental contributions to variation in plasma phosphorylated tau 217. Alzheimer s & Dementia. 21(11). e70906–e70906.
2.
Wilson, David H., Gallen Triana‐Baltzer, Karen Copeland, et al.. (2025). Analytical and clinical validation of a high accuracy fully automated digital immunoassay for plasma phospho-Tau 217 for clinical use in detecting amyloid pathology. SHILAP Revista de lepidopterología. 16. 1568971–1568971. 2 indexed citations
3.
Simon, Marie-Michelle, Tony Kwan, David H. Wilson, et al.. (2025). REST/NRSF Preserves muscle stem cell identity by repressing alternate cell fate. Nature Communications. 16(1). 7487–7487.
4.
Wilson, David H., Karen Copeland, Lyndal K. Hesterberg, et al.. (2024). Multi‐Marker Approach to Reducing the Intermediate Range of a High Accuracy 2‐Cutoff Plasma p‐Tau 217 Test for Amyloid Detection. Alzheimer s & Dementia. 20(S8). 2 indexed citations
5.
Jarman, Edward J., Alison Meynert, Graeme R. Grimes, et al.. (2022). In Vivo Modeling of Patient Genetic Heterogeneity Identifies New Ways to Target Cholangiocarcinoma. Cancer Research. 82(8). 1548–1559. 7 indexed citations
6.
Jarman, Edward J., Daniel Soong, William Cambridge, et al.. (2022). DKK1 drives immune suppressive phenotypes in intrahepatic cholangiocarcinoma and can be targeted with anti‐DKK1 therapeutic DKN ‐01. Liver International. 43(1). 208–220. 15 indexed citations
7.
Wilson, David H., et al.. (2021). A Comparison of Standardized Letters of Evaluation for Emergency Medicine Residency Applicants. Western Journal of Emergency Medicine. 22(1). 20–25. 5 indexed citations
8.
Kendall, Timothy J., Luke Boulter, David H. Wilson, et al.. (2019). Embryonic mesothelial-derived hepatic lineage of quiescent and heterogenous scar-orchestrating cells defined but suppressed by WT1. Nature Communications. 10(1). 4688–4688. 18 indexed citations
9.
Hossain, Iftakher, Mehrbod Mohammadian, Riikka Takala, et al.. (2018). Early Levels of Glial Fibrillary Acidic Protein and Neurofilament Light Protein in Predicting the Outcome of Mild Traumatic Brain Injury. Journal of Neurotrauma. 36(10). 1551–1560. 49 indexed citations
10.
Korley, Frederick K., John K. Yue, David H. Wilson, et al.. (2018). Performance Evaluation of a Multiplex Assay for Simultaneous Detection of Four Clinically Relevant Traumatic Brain Injury Biomarkers. Journal of Neurotrauma. 36(1). 182–187. 64 indexed citations
11.
Tucker, Graeme, Robert Adams, & David H. Wilson. (2014). Results from several population studies show that recommended scoring methods of the SF-36 and the SF-12 may lead to incorrect conclusions and subsequent health decisions. Quality of Life Research. 23(8). 2195–2203. 17 indexed citations
12.
Grant, Janet, Sean Martin, Anne Taylor, et al.. (2013). Cohort Profile: The Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) Study. International Journal of Epidemiology. 43(4). 1040–1053. 56 indexed citations
13.
Chang, Lei, David M. Rissin, David R. Fournier, et al.. (2012). Single molecule enzyme-linked immunosorbent assays: Theoretical considerations. Journal of Immunological Methods. 378(1-2). 102–115. 143 indexed citations
14.
Chang, Lei, Linan Song, David R. Fournier, et al.. (2012). Simple diffusion-constrained immunoassay for p24 protein with the sensitivity of nucleic acid amplification for detecting acute HIV infection. Journal of Virological Methods. 188(1-2). 153–160. 38 indexed citations
15.
Adams, Robert, Graeme Tucker, Graeme Hugo, Catherine Hill, & David H. Wilson. (2008). Projected future trends of hospital service use for selected obesity-related conditions. Obesity Research & Clinical Practice. 2(2). 133–141. 14 indexed citations
16.
Cowan, Frances M., Sophie Pascoe, K. L. Barlow, et al.. (2006). Association of genital shedding of herpes simplex virus type 2 and HIV-1 among sex workers in rural Zimbabwe. AIDS. 20(2). 261–267. 36 indexed citations
17.
Wilcock, Donna M., Amyn M. Rojiani, Arnon Rosenthal, et al.. (2004). Passive Amyloid Immunotherapy Clears Amyloid and Transiently Activates Microglia in a Transgenic Mouse Model of Amyloid Deposition. Journal of Neuroscience. 24(27). 6144–6151. 250 indexed citations
18.
Herber, Donna L., et al.. (2004). Time-dependent reduction in Aβ levels after intracranial LPS administration in APP transgenic mice. Experimental Neurology. 190(1). 245–253. 132 indexed citations
19.
Benight, Albert S., et al.. (1991). Dynamic light scattering investigations of RecA self-assembly and interactions with single strand DNA. Biochimie. 73(2-3). 143–155. 14 indexed citations
20.
Marsden, Andrew K., et al.. (1980). Antibiotics in surgical treatment of acute abscesses.. BMJ. 281(6233). 111–112. 17 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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