Larry Park

1.8k total citations
18 papers, 1.0k citations indexed

About

Larry Park is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Larry Park has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Larry Park's work include Genetic Neurodegenerative Diseases (10 papers), Mitochondrial Function and Pathology (7 papers) and Muscle Physiology and Disorders (4 papers). Larry Park is often cited by papers focused on Genetic Neurodegenerative Diseases (10 papers), Mitochondrial Function and Pathology (7 papers) and Muscle Physiology and Disorders (4 papers). Larry Park collaborates with scholars based in United States, Italy and United Kingdom. Larry Park's co-authors include David Howland, X. William Yang, Liliana Menalled, Myron J. Waxdal, Ingrid Schmid, Janis V. Giorgi, Jeremy M. G. Taylor, Lance E. Hultin, John Ferbas and Joseph B. Margolick and has published in prestigious journals such as Circulation, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Larry Park

18 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
Larry Park United States 12 587 508 196 142 139 18 1.0k
Shongshan Fan United States 20 522 0.9× 264 0.5× 65 0.3× 267 1.9× 76 0.5× 26 1.4k
A. E. G. Tannenberg Australia 17 365 0.6× 286 0.6× 152 0.8× 128 0.9× 139 1.0× 33 1.1k
Steven M. Fine United States 11 380 0.6× 197 0.4× 47 0.2× 254 1.8× 83 0.6× 15 1.1k
Alejandra Borjabad United States 12 223 0.4× 208 0.4× 37 0.2× 332 2.3× 81 0.6× 15 724
Bryan Knipe United States 8 253 0.4× 80 0.2× 89 0.5× 217 1.5× 61 0.4× 8 898
Jadwiga Turchan‐Cholewo United States 16 271 0.5× 206 0.4× 37 0.2× 338 2.4× 45 0.3× 31 823
Laura K. Hamilton Canada 14 417 0.7× 220 0.4× 26 0.1× 146 1.0× 122 0.9× 22 1.0k
Jerel Adam Fields United States 24 453 0.8× 248 0.5× 300 1.5× 627 4.4× 208 1.5× 47 1.5k
Xiaoou Sun China 19 561 1.0× 138 0.3× 70 0.4× 46 0.3× 26 0.2× 44 856
Alan Kosaka United States 16 544 0.9× 281 0.6× 19 0.1× 42 0.3× 198 1.4× 26 1.5k

Countries citing papers authored by Larry Park

Since Specialization
Citations

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

Fields of papers citing papers by Larry Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry Park. 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 Larry Park. The network helps show where Larry Park may publish in the future.

Co-authorship network of co-authors of Larry Park

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

All Works

18 of 18 papers shown
1.
Heikkinen, Taneli, Timo Bragge, Teija Parkkari, et al.. (2021). Global Rhes knockout in the Q175 Huntington’s disease mouse model. PLoS ONE. 16(10). e0258486–e0258486. 5 indexed citations
2.
Moretti, Daniele, Mauro Cerretani, Antonino Missineo, et al.. (2020). NRF2 activation by reversible KEAP1 binding induces the antioxidant response in primary neurons and astrocytes of a Huntington's disease mouse model. Free Radical Biology and Medicine. 162. 243–254. 39 indexed citations
3.
Colarusso, Stefania, Mauro Cerretani, Antonino Missineo, et al.. (2020). Optimization of linear and cyclic peptide inhibitors of KEAP1-NRF2 protein-protein interaction. Bioorganic & Medicinal Chemistry. 28(21). 115738–115738. 20 indexed citations
4.
Ontoria, Jesus M., Federica Ferrigno, Esther Torrente, et al.. (2020). Combined Peptide and Small-Molecule Approach toward Nonacidic THIQ Inhibitors of the KEAP1/NRF2 Interaction. ACS Medicinal Chemistry Letters. 11(5). 740–746. 22 indexed citations
5.
Bresciani, Alberto, Mauro Cerretani, Mariana Gallo, et al.. (2016). A21 Development of an Nrf2-KEAP1 protein-protein disruptor for proof of concept. Journal of Neurology Neurosurgery & Psychiatry. 87(Suppl 1). A6.3–A6. 2 indexed citations
6.
Pacifici, Robert E., Leticia Toledo‐Sherman, Mark J. Rose, & Larry Park. (2016). A4 An overview of energy metabolism in huntington’s disease as a therapeutic target. Journal of Neurology Neurosurgery & Psychiatry. 87(Suppl 1). A2.1–A2. 13 indexed citations
7.
Park, Larry, Vivian H. Chu, Gail Peterson, et al.. (2015). Abstract 9865: A Validated, Simplified Risk Model for Predicting 6-Month Mortality in Infective Endocarditis. Circulation. 132(suppl_3). 1 indexed citations
8.
Beaumont, Vahri, Larry Park, Arash Rassoulpour, et al.. (2014). The PDE1/5 Inhibitor SCH-51866 Does Not Modify Disease Progression in the R6/2 Mouse Model of Huntington’s Disease. PLoS Currents. 6. 8 indexed citations
9.
Menalled, Liliana, et al.. (2012). Effect of the rd1 mutation on motor performance in R6/2 and wild type mice. PLoS Currents. 4. RRN1303–RRN1303. 7 indexed citations
10.
Yu-Taeger, Libo, Elisabeth Petrasch‐Parwez, Alexander P. Osmand, et al.. (2012). A Novel BACHD Transgenic Rat Exhibits Characteristic Neuropathological Features of Huntington Disease. Journal of Neuroscience. 32(44). 15426–15438. 78 indexed citations
11.
Gafni, Juliette, Jennifer Holcomb, Sylvia Chen, et al.. (2012). Caspase-6 Activity in a BACHD Mouse Modulates Steady-State Levels of Mutant Huntingtin Protein But Is Not Necessary for Production of a 586 Amino Acid Proteolytic Fragment. Journal of Neuroscience. 32(22). 7454–7465. 36 indexed citations
12.
Beconi, Maria, David Howland, Larry Park, et al.. (2011). Pharmacokinetics of memantine in rats and mice. PLoS Currents. 3. RRN1291–RRN1291. 70 indexed citations
13.
Oakeshott, Stephen, Russell G. Port, Judy Watson-Johnson, et al.. (2011). HD mouse models reveal clear deficits in learning to perform a simple instrumental response. PLoS Currents. 3. RRN1282–RRN1282. 7 indexed citations
14.
Menalled, Liliana, Natalie Ragland, Larry Park, et al.. (2010). Comprehensive Behavioral Testing in the R6/2 Mouse Model of Huntington's Disease Shows No Benefit from CoQ10 or Minocycline. PLoS ONE. 5(3). e9793–e9793. 52 indexed citations
15.
Menalled, Liliana, Bassem F. El‐Khodor, Mayte Suárez‐Fariñas, et al.. (2009). Systematic behavioral evaluation of Huntington's disease transgenic and knock-in mouse models. Neurobiology of Disease. 35(3). 319–336. 257 indexed citations
16.
Shao, Zhili, Kausik Bhattacharya, Eileen Hsich, et al.. (2005). c-Jun N-Terminal Kinases Mediate Reactivation of Akt and Cardiomyocyte Survival After Hypoxic Injury In Vitro and In Vivo. Circulation Research. 98(1). 111–118. 106 indexed citations
17.
Andreassen, Ole A., Robert J. Ferrante, Hsueh‐Meei Huang, et al.. (2001). Dichloroacetate exerts therapeutic effects in transgenic mouse models of Huntington's disease. Annals of Neurology. 50(1). 112–116. 70 indexed citations
18.
Giorgi, Janis V., Joseph B. Margolick, Kenneth D. Bauer, et al.. (1990). Quality control in the flow cytometric measurement of T-lymphocyte subsets: The Multicenter AIDS Cohort Study experience. Clinical Immunology and Immunopathology. 55(2). 173–186. 225 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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