Daniel E. Wilson

3.1k total citations
35 papers, 1.4k citations indexed

About

Daniel E. Wilson is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Daniel E. Wilson has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 10 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Molecular Biology. Recurrent topics in Daniel E. Wilson's work include Lipid metabolism and disorders (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Neural dynamics and brain function (6 papers). Daniel E. Wilson is often cited by papers focused on Lipid metabolism and disorders (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Neural dynamics and brain function (6 papers). Daniel E. Wilson collaborates with scholars based in United States, Germany and United Kingdom. Daniel E. Wilson's co-authors include David Fitzpatrick, Benjamin Scholl, Akira Hata, David E. Whitney, M. Emi, Per‐Henrik Iverius, Jean-Marc Lalouel, Lianjun Wu, R R Williams and J J Cream and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Daniel E. Wilson

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel E. Wilson United States 18 400 386 380 356 255 35 1.4k
Sylvain J. Le Marchand United States 11 159 0.4× 177 0.5× 281 0.7× 63 0.2× 514 2.0× 16 1.1k
Allen Wang United States 18 198 0.5× 251 0.7× 242 0.6× 149 0.4× 1.4k 5.5× 32 2.4k
Katrina H. Worthy Australia 17 89 0.2× 288 0.7× 347 0.9× 421 1.2× 513 2.0× 32 2.1k
Oliver Nayler Switzerland 27 109 0.3× 255 0.7× 78 0.2× 458 1.3× 1.2k 4.9× 55 2.7k
Francesco Angelini Italy 22 80 0.2× 315 0.8× 543 1.4× 57 0.2× 932 3.7× 67 1.9k
Shannon O’Brien United States 14 157 0.4× 135 0.3× 112 0.3× 149 0.4× 372 1.5× 26 823
Alonso P. Moreno United States 32 120 0.3× 578 1.5× 466 1.2× 39 0.1× 2.7k 10.6× 63 3.2k
Miriam C. Souroujon Israel 26 118 0.3× 148 0.4× 140 0.4× 170 0.5× 727 2.9× 65 2.3k
Kei Shinoda Japan 33 46 0.1× 117 0.3× 491 1.3× 130 0.4× 1.5k 5.9× 219 3.8k
Zsolt Horváth Hungary 20 69 0.2× 108 0.3× 564 1.5× 187 0.5× 694 2.7× 83 1.6k

Countries citing papers authored by Daniel E. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Wilson. A scholar is included among the top collaborators of Daniel E. 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 Daniel E. Wilson. Daniel E. 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.
Wilson, Daniel E., Michael E. Rule, Helen Yang, et al.. (2025). An optical brain-machine interface reveals a causal role of posterior parietal cortex in goal-directed navigation. Cell Reports. 44(7). 115862–115862.
2.
Kuan, Aaron T., Laura Driscoll, David G. C. Hildebrand, et al.. (2024). Synaptic wiring motifs in posterior parietal cortex support decision-making. Nature. 627(8003). 367–373. 12 indexed citations
3.
Marsella, Rosanna, Stephen D. White, Valerie A. Fadok, et al.. (2023). Equine allergic skin diseases: Clinical consensus guidelines of the World Association for Veterinary Dermatology. Veterinary Dermatology. 34(3). 175–208. 10 indexed citations
4.
Green, Jonathan, Lisa Traunmüller, Jennifer Ding, et al.. (2023). A cell-type-specific error-correction signal in the posterior parietal cortex. Nature. 620(7973). 366–373. 17 indexed citations
5.
Lu, Rongwen, Wenzhi Sun, Yajie Liang, et al.. (2017). Video-rate volumetric functional imaging of the brain at synaptic resolution. Nature Neuroscience. 20(4). 620–628. 183 indexed citations
6.
Wilson, Daniel E., Gordon B. Smith, Amanda Jacob, et al.. (2017). GABAergic Neurons in Ferret Visual Cortex Participate in Functionally Specific Networks. Neuron. 93(5). 1058–1065.e4. 52 indexed citations
7.
Wilson, Daniel E., David E. Whitney, Benjamin Scholl, & David Fitzpatrick. (2016). Orientation selectivity and the functional clustering of synaptic inputs in primary visual cortex. Nature Neuroscience. 19(8). 1003–1009. 171 indexed citations
8.
Wilson, Daniel E.. (2015). Web content and design trends of Alabama academic libraries. The Electronic Library. 33(1). 88–102. 24 indexed citations
9.
Berry, T. G., et al.. (2009). Benefits of preheating resin composite before placement.. PubMed. 56(4). 332–5. 1 indexed citations
10.
Wilson, Daniel E.. (1997). Inspiring your users to learn. 341–347. 1 indexed citations
11.
Wilson, Daniel E., Akira Hata, L K Kwong, et al.. (1993). Mutations in exon 3 of the lipoprotein lipase gene segregating in a family with hypertriglyceridemia, pancreatitis, and non-insulin-dependent diabetes.. Journal of Clinical Investigation. 92(1). 203–211. 63 indexed citations
12.
Williams, R R, Steven C. Hunt, Paul N. Hopkins, et al.. (1993). Genetic Basis of Familial Dyslipidemia and Hypertension: 15-Year Results From Utah. American Journal of Hypertension. 6(11 Pt 2). 319S–327S. 82 indexed citations
13.
Wilson, Daniel E., M. Emi, Per‐Henrik Iverius, et al.. (1990). Phenotypic expression of heterozygous lipoprotein lipase deficiency in the extended pedigree of a proband homozygous for a missense mutation.. Journal of Clinical Investigation. 86(3). 735–750. 140 indexed citations
14.
Emi, M., Daniel E. Wilson, Per‐Henrik Iverius, et al.. (1990). Missense mutation (Gly----Glu188) of human lipoprotein lipase imparting functional deficiency.. Journal of Biological Chemistry. 265(10). 5910–5916. 115 indexed citations
15.
Deiss, Andrew, et al.. (1987). Diabetic lipemia with fatty splenomegaly culminating in unnecessary splenectomy.. PubMed. 147(2). 196–8. 2 indexed citations
16.
Wilson, Daniel E., et al.. (1986). Apolipoprotein E-containing lipoproteins and lipoprotein remnants in experimental canine diabetes. Diabetes. 35(8). 933–942. 2 indexed citations
17.
Wilson, Daniel E., et al.. (1986). Apolipoprotein E-Containing Lipoproteins and Lipoprotein Remnants in Experimental Canine Diabetes. Diabetes. 35(8). 933–942. 14 indexed citations
18.
Moatamed, Farhad, et al.. (1984). Mortality and Renal Failure in the Streptozocin-Alloxan Diabetic Dog Attributed to Contamined Alloxan Preparations. Hormone and Metabolic Research. 16(10). 549–550. 2 indexed citations
19.
Logan, David C., et al.. (1976). Uric acid catabolism in the woolly monkey. Metabolism. 25(5). 517–522. 11 indexed citations
20.
Wilson, Daniel E., et al.. (1970). Hyperlipidemia in an adult diabetic population. Journal of Chronic Diseases. 23(7). 501–506. 31 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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