Ira Goodman

4.1k total citations
11 papers, 445 citations indexed

About

Ira Goodman is a scholar working on Neurology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Ira Goodman has authored 11 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Pharmacology. Recurrent topics in Ira Goodman's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Nuclear Receptors and Signaling (3 papers) and Neurological disorders and treatments (3 papers). Ira Goodman is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Nuclear Receptors and Signaling (3 papers) and Neurological disorders and treatments (3 papers). Ira Goodman collaborates with scholars based in United States, Switzerland and Canada. Ira Goodman's co-authors include Aaron Ellenbogen, Sue G. Griffith, Stuart Isaacson, Meret Martin‐Facklam, Martin Koller, Daniel Ness, Gene G. Kinney, Joseph Jankovic, Omid Omidvar and Michael Grundman and has published in prestigious journals such as Neurology, Acta Neuropathologica and Movement Disorders.

In The Last Decade

Ira Goodman

11 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ira Goodman United States 6 327 171 153 97 67 11 445
Emily S. Meymand United States 8 267 0.8× 102 0.6× 251 1.6× 137 1.4× 113 1.7× 9 455
Kevin McFarthing United Kingdom 11 254 0.8× 163 1.0× 87 0.6× 50 0.5× 135 2.0× 22 451
Mónica Díez-Fairén Spain 11 242 0.7× 112 0.7× 101 0.7× 74 0.8× 104 1.6× 19 385
Hiroaki Sekiya United States 10 328 1.0× 109 0.6× 150 1.0× 89 0.9× 65 1.0× 31 428
Jay Soto Switzerland 2 328 1.0× 180 1.1× 130 0.8× 92 0.9× 55 0.8× 2 409
Kateřina Menšíková Czechia 13 275 0.8× 82 0.5× 127 0.8× 79 0.8× 116 1.7× 52 433
Esther Ruiz‐Bronchal Spain 10 193 0.6× 176 1.0× 64 0.4× 42 0.4× 132 2.0× 13 429
A. T. Portman Netherlands 6 253 0.8× 134 0.8× 70 0.5× 121 1.2× 52 0.8× 7 405
Innocenza Claudia Cirò Candiano Italy 10 316 1.0× 204 1.2× 88 0.6× 85 0.9× 111 1.7× 11 428
Peggy Taylor United States 9 509 1.6× 131 0.8× 186 1.2× 123 1.3× 92 1.4× 12 611

Countries citing papers authored by Ira Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Ira Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ira Goodman

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

All Works

11 of 11 papers shown
2.
Detke, Michael J., Casey Lynch, Leslie J. Holsinger, et al.. (2020). COR388 for the Treatment of Alzheimer’s Disease (4098). Neurology. 94(15_supplement). 5 indexed citations
3.
Bryś, Mirosław, Laura Fanning, Serena Hung, et al.. (2019). Randomized phase I clinical trial of anti–α‐synuclein antibody BIIB054. Movement Disorders. 34(8). 1154–1163. 139 indexed citations
4.
Bryś, Mirosław, Aaron Ellenbogen, Laura Fanning, et al.. (2018). Randomized, Double-Blind, Placebo-Controlled, Single Ascending Dose Study of Anti-Alpha-Synuclein Antibody BIIB054 in Patients with Parkinson’s Disease (S26.001). Neurology. 90(15_supplement). 17 indexed citations
5.
Jankovic, Joseph, Ira Goodman, Beth Safirstein, et al.. (2018). Safety and Tolerability of Multiple Ascending Doses of PRX002/RG7935, an Anti–α-Synuclein Monoclonal Antibody, in Patients With Parkinson Disease. JAMA Neurology. 75(10). 1206–1206. 224 indexed citations
6.
Jankovic, Joseph, Ira Goodman, Beth Safirstein, et al.. (2018). Results from a phase 1b multiple ascending-dose study of PRX002/RG7935, an Anti-alpha-synuclein monoclonal antibody, in patients with Parkinson’s disease. Parkinsonism & Related Disorders. 46. e25–e25. 4 indexed citations
7.
Dickson, Dennis W., Melissa E. Murray, Ira Goodman, et al.. (2013). Progressive Amnestic Dementia, Hippocampal Sclerosis, and Mutation in C9orf72 (P05.099). Neurology. 80(7_supplement). 1 indexed citations
8.
Murray, Melissa E., Kevin F. Bieniek, M. Banks Greenberg, et al.. (2013). Progressive amnestic dementia, hippocampal sclerosis, and mutation in C9ORF72. Acta Neuropathologica. 126(4). 545–554. 29 indexed citations
9.
Acosta, Lealani Mae Y., Ira Goodman, & Kenneth M. Heilman. (2013). Unilateral Perseverationnnn. Cognitive and Behavioral Neurology. 26(4). 181–188. 3 indexed citations
10.
Sadowsky, Carl, Jennifer Perez, Rémi W. Bouchard, Ira Goodman, & Sibel Tekin. (2010). Switching from Oral Cholinesterase Inhibitors to the Rivastigmine Transdermal Patch. CNS Neuroscience & Therapeutics. 16(1). 51–60. 15 indexed citations
11.
Goodman, Ira. (2007). Practical utility of urinary assay in the diagnosis of Alzheimer’s disease: AlzheimAlert™. Expert Review of Molecular Diagnostics. 8(1). 21–28. 6 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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