David O'Hanlon

1.4k total citations
15 papers, 1.1k citations indexed

About

David O'Hanlon is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David O'Hanlon has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in David O'Hanlon's work include S100 Proteins and Annexins (13 papers), Immune Response and Inflammation (4 papers) and Machine Learning in Bioinformatics (3 papers). David O'Hanlon is often cited by papers focused on S100 Proteins and Annexins (13 papers), Immune Response and Inflammation (4 papers) and Machine Learning in Bioinformatics (3 papers). David O'Hanlon collaborates with scholars based in Canada, United States and Switzerland. David O'Hanlon's co-authors include Alexander Marks, Robert Dunn, R. Allore, Karen M. Neilson, John Roder, Thomas G. Parker, James N. Tsoporis, H F Willard, David R. Cox and Richard H. Price and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

David O'Hanlon

15 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David O'Hanlon Canada 14 714 279 227 152 139 15 1.1k
Mathias Chiano United Kingdom 15 677 0.9× 136 0.5× 52 0.2× 46 0.3× 95 0.7× 26 1.3k
Tsuyoshi Ishida Japan 17 278 0.4× 106 0.4× 270 1.2× 266 1.8× 139 1.0× 54 1.2k
Gema Robledo Spain 17 363 0.5× 82 0.3× 260 1.1× 78 0.5× 77 0.6× 36 871
Frank Brand United States 14 620 0.9× 74 0.3× 158 0.7× 55 0.4× 95 0.7× 21 873
Thomas W. Smith United States 13 565 0.8× 154 0.6× 65 0.3× 118 0.8× 111 0.8× 18 968
Manuel Zeitelhofer Sweden 21 460 0.6× 185 0.7× 228 1.0× 30 0.2× 105 0.8× 33 1.1k
Elaine S. Gilmore United States 15 264 0.4× 131 0.5× 88 0.4× 25 0.2× 35 0.3× 24 672
Jennifer L. Berard Canada 9 238 0.3× 220 0.8× 321 1.4× 54 0.4× 116 0.8× 9 929
Aisha Nair United States 10 224 0.3× 110 0.4× 109 0.5× 151 1.0× 25 0.2× 14 619
M Farrall United Kingdom 17 719 1.0× 46 0.2× 57 0.3× 274 1.8× 57 0.4× 31 1.3k

Countries citing papers authored by David O'Hanlon

Since Specialization
Citations

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

Fields of papers citing papers by David O'Hanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David O'Hanlon. 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 O'Hanlon. The network helps show where David O'Hanlon may publish in the future.

Co-authorship network of co-authors of David O'Hanlon

This figure shows the co-authorship network connecting the top 25 collaborators of David O'Hanlon. A scholar is included among the top collaborators of David O'Hanlon 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 O'Hanlon. David O'Hanlon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
O'Hanlon, David, et al.. (2023). Improved learning outcomes and teacher experience: A qualitative study of team-based learning in secondary schools. SHILAP Revista de lepidopterología. 8(1). 100590–100590. 3 indexed citations
2.
Tsoporis, James N., et al.. (2004). S100A6 is a negative regulator of the induction of cardiac genes by trophic stimuli in cultured rat myocytes. Experimental Cell Research. 303(2). 471–481. 22 indexed citations
3.
Tsoporis, James N., Alexander Marks, Linda J. Van Eldik, David O'Hanlon, & Thomas G. Parker. (2003). Regulation of the S100B gene by α1-adrenergic stimulation in cardiac myocytes. American Journal of Physiology-Heart and Circulatory Physiology. 284(1). H193–H203. 24 indexed citations
4.
Pope, Janet, Nicholas Bellamy, James R. Seibold, et al.. (2001). A randomized, controlled trial of methotrexate versus placebo in early diffuse scleroderma. Arthritis & Rheumatism. 44(6). 1351–1358. 271 indexed citations
5.
Xiong, Zhi‐Gang, David O'Hanlon, Laurence E. Becker, et al.. (2000). Enhanced Calcium Transients in Glial Cells in Neonatal Cerebellar Cultures Derived from S100B Null Mice. Experimental Cell Research. 257(2). 281–289. 102 indexed citations
6.
O'Hanlon, David, et al.. (1999). Demonstration of Heterodimer Formation between S100B and S100A6 in the Yeast Two-Hybrid System and Human Melanoma. Experimental Cell Research. 246(2). 501–509. 47 indexed citations
7.
Tsoporis, James N., Alexander Marks, Harriette J. Kahn, et al.. (1998). Inhibition of norepinephrine-induced cardiac hypertrophy in s100beta transgenic mice.. Journal of Clinical Investigation. 102(8). 1609–1616. 66 indexed citations
8.
Tsoporis, James N., Alexander Marks, Harriette J. Kahn, et al.. (1997). S100β Inhibits α1-Adrenergic Induction of the Hypertrophic Phenotype in Cardiac Myocytes. Journal of Biological Chemistry. 272(50). 31915–31921. 49 indexed citations
9.
Marks, Alexander, et al.. (1996). Accumulation of S100β mRNA and protein in cerebellum during infancy in Down syndrome and control subjects. Molecular Brain Research. 36(2). 343–348. 34 indexed citations
10.
Gerlai, Robert, et al.. (1993). Female transgenic mice carrying multiple copies of the human gene for S100β are hyperactive. Behavioural Brain Research. 55(1). 51–59. 48 indexed citations
11.
Clapoff, Susan, et al.. (1992). Cell-specific expression of high levels of human S100 beta in transgenic mouse brain is dependent on gene dosage. Journal of Neuroscience. 12(11). 4337–4346. 73 indexed citations
12.
Marks, Alexander, David O'Hanlon, Pak C. Kwong, et al.. (1990). S100 protein expression in human melanoma cells: Comparison of levels of expression among different cell lines and individual cells in different phases of the cell cycle. Experimental Cell Research. 187(1). 59–64. 39 indexed citations
13.
Allore, R., David O'Hanlon, Karen M. Neilson, et al.. (1990). Cloning and expression of the human S100 beta gene.. Journal of Biological Chemistry. 265(26). 15537–15543. 71 indexed citations
14.
Allore, R., David O'Hanlon, Richard H. Price, et al.. (1988). Gene Encoding the β Subunit of S100 Protein Is on Chromosome 21: Implications for Down Syndrome. Science. 239(4845). 1311–1313. 193 indexed citations
15.
Dunn, Robert, Charles F. Landry, David O'Hanlon, et al.. (1987). Reduction in S100 protein beta subunit mRNA in C6 rat glioma cells following treatment with anti-microtubular drugs.. Journal of Biological Chemistry. 262(8). 3562–3566. 44 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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