Fredric A. Gorin

2.2k total citations
67 papers, 1.8k citations indexed

About

Fredric A. Gorin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Fredric A. Gorin has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 8 papers in Neurology. Recurrent topics in Fredric A. Gorin's work include Neuroscience and Neuropharmacology Research (7 papers), Ion channel regulation and function (7 papers) and Muscle Physiology and Disorders (6 papers). Fredric A. Gorin is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Ion channel regulation and function (7 papers) and Muscle Physiology and Disorders (6 papers). Fredric A. Gorin collaborates with scholars based in United States, France and India. Fredric A. Gorin's co-authors include Richard C. Carlsen, Peter M. Cala, Bruce G. Lyeth, Lee Anne McLean, Robert J. Fletterick, Garland R. Marshall, Nanna K. Jørgensen, Candace L. Floyd, Roger V. Lebo and Mei‐Chi Cheung and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Fredric A. Gorin

65 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fredric A. Gorin United States 24 1.1k 320 196 187 173 67 1.8k
Timour Prozorovski Germany 18 1.0k 1.0× 139 0.4× 286 1.5× 180 1.0× 84 0.5× 23 2.4k
Tim T. Lam United States 31 1.9k 1.8× 602 1.9× 173 0.9× 107 0.6× 158 0.9× 77 3.3k
Norbert Kociok Germany 27 1.4k 1.3× 236 0.7× 206 1.1× 83 0.4× 96 0.6× 90 3.3k
Pieter J. Peeters Belgium 26 838 0.8× 249 0.8× 301 1.5× 171 0.9× 199 1.2× 40 2.2k
Miguel Lucas Spain 23 807 0.8× 217 0.7× 133 0.7× 180 1.0× 188 1.1× 87 1.9k
Lina A. Shehadeh United States 22 864 0.8× 204 0.6× 143 0.7× 71 0.4× 159 0.9× 68 1.7k
Claudia Linker United States 25 1.5k 1.4× 175 0.5× 394 2.0× 130 0.7× 311 1.8× 48 3.0k
Linda Ottoboni Italy 22 923 0.9× 351 1.1× 427 2.2× 51 0.3× 107 0.6× 57 2.5k
Margrit Hollborn Germany 30 1.6k 1.5× 524 1.6× 256 1.3× 59 0.3× 89 0.5× 72 2.8k
Antonietta Arcella Italy 32 1.3k 1.2× 612 1.9× 107 0.5× 73 0.4× 93 0.5× 91 2.9k

Countries citing papers authored by Fredric A. Gorin

Since Specialization
Citations

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

Fields of papers citing papers by Fredric A. Gorin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fredric A. Gorin. 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 Fredric A. Gorin. The network helps show where Fredric A. Gorin may publish in the future.

Co-authorship network of co-authors of Fredric A. Gorin

This figure shows the co-authorship network connecting the top 25 collaborators of Fredric A. Gorin. A scholar is included among the top collaborators of Fredric A. Gorin 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 Fredric A. Gorin. Fredric A. Gorin 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.
Konishi, Hiroaki, et al.. (2023). Cmpd10357 to treat B-cell acute lymphoblastic leukemia. Experimental Hematology. 119-120. 8–13.e1.
2.
3.
Simkins, Tyrell, et al.. (2021). A clinical decision rule predicting outcomes of emergency department patients with altered mental status. SHILAP Revista de lepidopterología. 2(5). e12522–e12522. 3 indexed citations
4.
Valenzuela, Anthony E., et al.. (2018). In VivoMRI of Functionalized Iron Oxide Nanoparticles for Brain Inflammation. Contrast Media & Molecular Imaging. 2018. 1–10. 22 indexed citations
5.
Gorin, Fredric A., et al.. (2018). Modelling Interactions of Urokinase Plasminogen Activator with Amiloride and Its Derivatives. Biophysical Journal. 114(3). 56a–56a. 2 indexed citations
6.
Massey, Archna P., et al.. (2012). 2-Amidino analogs of glycine–amiloride conjugates: Inhibitors of urokinase-type plasminogen activator. Bioorganic & Medicinal Chemistry Letters. 22(7). 2635–2639. 7 indexed citations
7.
Floyd, Candace L., Tamara N. Dunn, Tsung‐Yu Chen, et al.. (2010). Dual inhibition of sodium-mediated proton and calcium efflux triggers non-apoptotic cell death in malignant gliomas. Brain Research. 1363. 159–169. 28 indexed citations
8.
Schnier, Joachim, et al.. (2008). An acidic environment changes cyclin D1 localization and alters colony forming ability in gliomas. Journal of Neuro-Oncology. 89(1). 19–26. 7 indexed citations
9.
Mythri, Rajeswara Babu, Jyothi Padiadpu, Krishnan Ramanujan, et al.. (2007). Integrating glutathione metabolism and mitochondrial dysfunction with implications for Parkinson’s disease: A dynamic model. Neuroscience. 149(4). 917–930. 72 indexed citations
10.
Raichur, Ashok M., et al.. (2006). Dynamic modeling of alpha-synuclein aggregation for the sporadic and genetic forms of Parkinson’s disease. Neuroscience. 142(3). 859–870. 37 indexed citations
11.
Srinivas, Pothur R., et al.. (2005). Comparison of Vector Space Model Methodologies to Reconcile Cross-Species Neuroanatomical Concepts. Neuroinformatics. 3(2). 115–132. 5 indexed citations
12.
Floyd, Candace L., Fredric A. Gorin, & Bruce G. Lyeth. (2005). Mechanical strain injury increases intracellular sodium and reverses Na+/Ca2+ exchange in cortical astrocytes. Glia. 51(1). 35–46. 86 indexed citations
13.
Hegde, Manu, et al.. (2005). Amiloride Peptide Conjugates: Prodrugs for Sodium-Proton Exchange Inhibition. Journal of Pharmacology and Experimental Therapeutics. 312(3). 961–967. 13 indexed citations
14.
Hegde, Manu, et al.. (2004). Amiloride Kills Malignant Glioma Cells Independent of Its Inhibition of the Sodium-Hydrogen Exchanger. Journal of Pharmacology and Experimental Therapeutics. 310(1). 67–74. 35 indexed citations
15.
Hogarth, Michael, Michael Gertz, & Fredric A. Gorin. (2003). jTerm: an open source terminology server.. PubMed. 861–861. 1 indexed citations
16.
Hogarth, Michael, Jim Stone, & Fredric A. Gorin. (2001). jTerm: A Server for Terminological Systems. Europe PMC (PubMed Central). 927–927. 1 indexed citations
17.
Vali, Shireen, Richard C. Carlsen, Isaac N. Pessah, & Fredric A. Gorin. (2000). Role of the sarcoplasmic reticulum in regulating the activity-dependent expression of the glycogen phosphorylase gene in contractile skeletal muscle cells. Journal of Cellular Physiology. 185(2). 184–199. 11 indexed citations
18.
Tait, Robert C., et al.. (1989). Human brain glycogen phosphorylase: characterization of fetal cDNA and genomic sequences. Molecular Brain Research. 6(2-3). 177–185. 23 indexed citations
19.
Ramachandran, Chidambaram, et al.. (1988). Nucleotide sequence of cDNA encoding the catalytic subunit of phosphorylase kinase from rat soleus muscle. Nucleic Acids Research. 16(5). 2355–2356. 18 indexed citations
20.
Carlson, M., Yusuke Nakamura, P. O’Connell, et al.. (1988). Isolation and mapping of a polymorphic DNA sequence for human muscle glycogen phosphorylase (pMCMP1) on chromosome 11 [PYGM]. Nucleic Acids Research. 16(21). 10403–10403. 15 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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