Frank R. Sharp

34.0k total citations · 7 hit papers
376 papers, 27.7k citations indexed

About

Frank R. Sharp is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Frank R. Sharp has authored 376 papers receiving a total of 27.7k indexed citations (citations by other indexed papers that have themselves been cited), including 202 papers in Molecular Biology, 87 papers in Cellular and Molecular Neuroscience and 74 papers in Neurology. Recurrent topics in Frank R. Sharp's work include Neuroscience and Neuropharmacology Research (61 papers), Heat shock proteins research (43 papers) and Mitochondrial Function and Pathology (42 papers). Frank R. Sharp is often cited by papers focused on Neuroscience and Neuropharmacology Research (61 papers), Heat shock proteins research (43 papers) and Mitochondrial Function and Pathology (42 papers). Frank R. Sharp collaborates with scholars based in United States, Canada and Finland. Frank R. Sharp's co-authors include Stephen M. Sagar, Raymond A. Swanson, Xinhua Zhan, Glen C. Jickling, Tom Curran, Boryana Stamova, Aigang Lu, Bradley P. Ander, Myriam Bernaudin and Renée J. Turner and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Frank R. Sharp

375 papers receiving 27.2k citations

Hit Papers

Expression of c- fos Prot... 1988 2026 2000 2013 1988 1990 1998 2015 2013 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frank R. Sharp 12.3k 7.3k 5.4k 4.1k 3.9k 376 27.7k
Michael A. Moskowitz 12.8k 1.0× 7.6k 1.0× 8.6k 1.6× 4.4k 1.1× 7.7k 2.0× 230 35.7k
Alan I. Faden 11.1k 0.9× 8.7k 1.2× 4.5k 0.8× 8.4k 2.1× 3.7k 0.9× 399 28.1k
Roger P. Simon 9.6k 0.8× 7.1k 1.0× 3.5k 0.7× 2.2k 0.5× 2.3k 0.6× 285 20.4k
W. Dalton Dietrich 9.0k 0.7× 6.2k 0.8× 6.1k 1.1× 10.5k 2.6× 3.6k 0.9× 420 32.0k
Michael V. Sofroniew 11.8k 1.0× 14.0k 1.9× 11.9k 2.2× 3.3k 0.8× 4.5k 1.1× 191 37.4k
Isidró Ferrer 20.4k 1.7× 11.4k 1.6× 7.7k 1.4× 8.3k 2.1× 12.8k 3.3× 910 42.1k
Eleonora Aronica 9.9k 0.8× 9.3k 1.3× 4.7k 0.9× 3.1k 0.8× 4.1k 1.0× 503 27.1k
Stuart A. Lipton 26.9k 2.2× 18.7k 2.6× 8.0k 1.5× 4.1k 1.0× 12.3k 3.1× 386 52.8k
Dennis W. Choi 15.6k 1.3× 17.7k 2.4× 6.3k 1.2× 3.1k 0.8× 5.4k 1.4× 206 35.4k
V. Hugh Perry 13.3k 1.1× 10.9k 1.5× 18.9k 3.5× 4.0k 1.0× 7.6k 1.9× 340 42.4k

Countries citing papers authored by Frank R. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Frank R. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank R. Sharp. 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 Frank R. Sharp. The network helps show where Frank R. Sharp may publish in the future.

Co-authorship network of co-authors of Frank R. Sharp

This figure shows the co-authorship network connecting the top 25 collaborators of Frank R. Sharp. A scholar is included among the top collaborators of Frank R. Sharp 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 Frank R. Sharp. Frank R. Sharp 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.
Carmona-Mora, Paulina, Glen C. Jickling, Xinhua Zhan, et al.. (2023). Monocyte, neutrophil, and whole blood transcriptome dynamics following ischemic stroke. BMC Medicine. 21(1). 65–65. 18 indexed citations
2.
Amini, Hajar, Glen C. Jickling, Heather Hull, et al.. (2023). Early peripheral blood gene expression associated with good and poor 90-day ischemic stroke outcomes. Journal of Neuroinflammation. 20(1). 13–13. 20 indexed citations
3.
Ander, Bradley P., Glen C. Jickling, Heather Hull, et al.. (2022). Gene expression changes implicate specific peripheral immune responses to Deep and Lobar Intracerebral Hemorrhages in humans. SHILAP Revista de lepidopterología. 3(4). 155–176. 2 indexed citations
4.
Ye, Zhouheng, Ali Izadi, Gene G. Gurkoff, et al.. (2022). Combined Inhibition of Fyn and c-Src Protects Hippocampal Neurons and Improves Spatial Memory via ROCK after Traumatic Brain Injury. Journal of Neurotrauma. 39(7-8). 520–529. 9 indexed citations
5.
Kamtchum‐Tatuene, Joseph, Sarina Falcione, Boryana Stamova, et al.. (2021). Aging Immune System in Acute Ischemic Stroke. Stroke. 52(4). 1355–1361. 15 indexed citations
6.
Tylee, Daniel S., Jonathan Hess, Thomas P. Quinn, et al.. (2016). Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined‐samples mega‐analysis. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 174(3). 181–201. 37 indexed citations
7.
Zhan, Xinhua, Christopher D. Cox, Bradley P. Ander, et al.. (2015). Inflammation Combined with Ischemia Produces Myelin Injury and Plaque-Like Aggregates of Myelin, Amyloid-β and AβPP in Adult Rat Brain. Journal of Alzheimer s Disease. 46(2). 507–523. 35 indexed citations
8.
Zhan, Xinhua, Glen C. Jickling, Bradley P. Ander, et al.. (2015). Myelin Basic Protein Associates with AβPP, Aβ 1-42 , and Amyloid Plaques in Cortex of Alzheimer's Disease Brain. Journal of Alzheimer s Disease. 44(4). 1213–1229. 67 indexed citations
9.
Liu, Da Zhi, Boryana Stamova, Bradley P. Ander, et al.. (2015). MicroRNA and mRNA Expression Changes in Steroid Naïve and Steroid Treated DMD Patients. Journal of Neuromuscular Diseases. 2(4). 387–396. 9 indexed citations
10.
Corbett, Blythe A., et al.. (2010). Blood Gene Expression Correlated with Tic Severity in Medicated and Unmedicated Patients with Tourette Syndrome. Pharmacogenomics. 11(12). 1733–1741. 10 indexed citations
11.
Gregg, Jeffrey P., Lisa Lit, Irva Hertz‐Picciotto, et al.. (2007). Gene expression changes in children with autism. Genomics. 91(1). 22–29. 137 indexed citations
12.
Adhami, Faisal, Guanghong Liao, Yury M. Morozov, et al.. (2006). Cerebral Ischemia-Hypoxia Induces Intravascular Coagulation and Autophagy. American Journal Of Pathology. 169(2). 566–583. 301 indexed citations
14.
Kokubo, Yasuaki, Jialing Liu, Sunita Rajdev, et al.. (2003). Differential Cerebral Protein Synthesis and Heat Shock Protein 70 Expression in the Core and Penumbra of Rat Brain after Transient Focal Ischemia. Neurosurgery. 53(1). 186–191. 24 indexed citations
15.
Tomitaka, Shinichiro, et al.. (2000). Fluoxetine prevents PCP- and MK801-induced HSP70 expression in injured limbic cortical neurons of rats. Biological Psychiatry. 47(9). 836–841. 15 indexed citations
16.
Bernabeu, Ramón & Frank R. Sharp. (2000). NMDA and AMPA/Kainate Glutamate Receptors Modulate Dentate Neurogenesis and CA3 Synapsin-I in Normal and Ischemic Hippocampus. Journal of Cerebral Blood Flow & Metabolism. 20(12). 1669–1680. 141 indexed citations
17.
Rapp, Joseph H., Xian Mang Pan, Frank R. Sharp, et al.. (2000). Atheroemboli to the brain: Size threshold for causing acute neuronal cell death. Journal of Vascular Surgery. 32(1). 68–76. 86 indexed citations
18.
Evans, Sydney M., M. Bergeron, Donna M. Ferriero, et al.. (1997). Imaging Hypoxia in Diseased Tissues. Advances in experimental medicine and biology. 428. 595–603. 12 indexed citations
20.
Sutcliffe, R., A.E. Bolton, Frank R. Sharp, L. V. B. Nicholson, & Roderick MacKinnon. (1980). Purification of human alpha uterine protein. Reproduction. 58(2). 435–442. 30 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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