Alexander Starr

568 total citations
10 papers, 404 citations indexed

About

Alexander Starr is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alexander Starr has authored 10 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alexander Starr's work include Amyotrophic Lateral Sclerosis Research (4 papers), HIV Research and Treatment (2 papers) and Tryptophan and brain disorders (2 papers). Alexander Starr is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (4 papers), HIV Research and Treatment (2 papers) and Tryptophan and brain disorders (2 papers). Alexander Starr collaborates with scholars based in United States, France and Canada. Alexander Starr's co-authors include Rita Sattler, Virginia M. Pickel, T. Kaneko, Chiye Aoki, Ileana Lorenzini, Daniela C. Zarnescu, Layla Ghaffari, Robert Bowser, Kendall Van Keuren‐Jensen and Jordan M. Barrows and has published in prestigious journals such as Brain Research, Cell Reports and Acta Neuropathologica.

In The Last Decade

Alexander Starr

8 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Starr United States 8 234 186 105 86 53 10 404
Zongbing Hao China 12 228 1.0× 257 1.4× 70 0.7× 98 1.1× 96 1.8× 18 530
Kevin McAvoy United States 9 190 0.8× 229 1.2× 87 0.8× 118 1.4× 77 1.5× 11 400
Kanchana K. Gamage United States 6 265 1.1× 268 1.4× 97 0.9× 182 2.1× 54 1.0× 7 473
Amanda M. Gleixner United States 15 492 2.1× 300 1.6× 96 0.9× 159 1.8× 72 1.4× 20 714
Yevgeniya Abramzon United States 6 216 0.9× 327 1.8× 71 0.7× 161 1.9× 68 1.3× 7 506
Virginia Le Verche United States 8 274 1.2× 248 1.3× 111 1.1× 154 1.8× 105 2.0× 9 562
Laura Rué Belgium 13 266 1.1× 114 0.6× 193 1.8× 40 0.5× 56 1.1× 21 453
Raymond D. Schellevis Netherlands 8 138 0.6× 202 1.1× 83 0.8× 120 1.4× 67 1.3× 9 362
Seung‐Pil Yang Canada 8 200 0.9× 88 0.5× 73 0.7× 42 0.5× 114 2.2× 10 396
Bhuvaneish T. Selvaraj United Kingdom 15 354 1.5× 317 1.7× 164 1.6× 174 2.0× 113 2.1× 30 709

Countries citing papers authored by Alexander Starr

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Starr

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

All Works

10 of 10 papers shown
1.
2.
Starr, Alexander, et al.. (2024). Human iPSC-derived neurons reveal NMDAR-independent dysfunction following HIV-associated insults. Frontiers in Molecular Neuroscience. 16. 1353562–1353562.
3.
Starr, Alexander, et al.. (2021). Confound, Cause, or Cure: The Effect of Cannabinoids on HIV-Associated Neurological Sequelae. Viruses. 13(7). 1242–1242. 7 indexed citations
4.
Moore, Stephen, Eric Alsop, Ileana Lorenzini, et al.. (2019). ADAR2 mislocalization and widespread RNA editing aberrations in C9orf72-mediated ALS/FTD. Acta Neuropathologica. 138(1). 49–65. 51 indexed citations
5.
Lorenzini, Ileana, Jordan M. Barrows, Alexander Starr, et al.. (2019). Glycolysis upregulation is neuroprotective as a compensatory mechanism in ALS. eLife. 8. 84 indexed citations
6.
Ghaffari, Layla, Alexander Starr, Andrew T. Nelson, & Rita Sattler. (2018). Representing Diversity in the Dish: Using Patient-Derived in Vitro Models to Recreate the Heterogeneity of Neurological Disease. Frontiers in Neuroscience. 12. 56–56. 24 indexed citations
7.
Starr, Alexander & Rita Sattler. (2018). Synaptic dysfunction and altered excitability in C9ORF72 ALS/FTD. Brain Research. 1693(Pt A). 98–108. 58 indexed citations
8.
Coyne, Alyssa N., Ileana Lorenzini, Ching‐Chieh Chou, et al.. (2017). Post-transcriptional Inhibition of Hsc70-4/HSPA8 Expression Leads to Synaptic Vesicle Cycling Defects in Multiple Models of ALS. Cell Reports. 21(1). 110–125. 82 indexed citations
9.
Keuren‐Jensen, Kendall Van, Ivana Malenica, Layla Ghaffari, et al.. (2015). micro RNA changes in liver tissue associated with fibrosis progression in patients with hepatitis C. Liver International. 36(3). 334–343. 31 indexed citations
10.
Aoki, Chiye, T. Kaneko, Alexander Starr, & Virginia M. Pickel. (1991). Identification of mitochondrial and non‐mitochondrial glutaminase within select neurons and glia of rat forebrain by electron microscopic immunocytochemistry. Journal of Neuroscience Research. 28(4). 531–548. 67 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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