Alex McCampbell

686 total citations
8 papers, 522 citations indexed

About

Alex McCampbell is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Alex McCampbell has authored 8 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Alex McCampbell's work include Alzheimer's disease research and treatments (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Memory and Neural Mechanisms (3 papers). Alex McCampbell is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Memory and Neural Mechanisms (3 papers). Alex McCampbell collaborates with scholars based in United States and Switzerland. Alex McCampbell's co-authors include Wayne A. Dornan, Lesley Hickman, Michael Decker, Anthony W. Bannon, Gregory P. Tinkler, Karen L. Gunther, David E. Kang, Mingdi Zhang, Linhong Sun and Giulio Srubek Tomassy and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and Bioinformatics.

In The Last Decade

Alex McCampbell

8 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex McCampbell United States 8 263 206 153 134 102 8 522
Jean‐Philippe Loeffler France 10 350 1.3× 189 0.9× 45 0.3× 106 0.8× 69 0.7× 12 575
Jocelyn C. Mauna United States 9 418 1.6× 179 0.9× 64 0.4× 212 1.6× 121 1.2× 11 580
Yosef Avchalumov United States 14 201 0.8× 155 0.8× 67 0.4× 56 0.4× 35 0.3× 26 473
Danielle M. Cosio United States 4 305 1.2× 145 0.7× 73 0.5× 336 2.5× 203 2.0× 6 703
Thomas W. Sherwood United States 8 625 2.4× 207 1.0× 37 0.2× 106 0.8× 71 0.7× 8 807
Sara Duarte‐Silva Portugal 18 502 1.9× 489 2.4× 54 0.4× 200 1.5× 36 0.4× 38 811
Maya Ketzef Sweden 11 203 0.8× 261 1.3× 102 0.7× 133 1.0× 20 0.2× 13 476
Joanna A. Korecka Netherlands 12 273 1.0× 248 1.2× 26 0.2× 208 1.6× 30 0.3× 14 616
Alexander Wirth Germany 12 376 1.4× 285 1.4× 74 0.5× 32 0.2× 24 0.2× 19 641
Diana Simón Spain 14 320 1.2× 306 1.5× 75 0.5× 54 0.4× 22 0.2× 22 689

Countries citing papers authored by Alex McCampbell

Since Specialization
Citations

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

Fields of papers citing papers by Alex McCampbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex McCampbell

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

All Works

8 of 8 papers shown
1.
Chen, Yi, Curt Mazur, Yi Luo, et al.. (2019). Intrathecal Delivery of Antisense Oligonucleotides in the Rat Central Nervous System. Journal of Visualized Experiments. 9 indexed citations
2.
McCampbell, Alex, Tracy Cole, Amy J. Wegener, et al.. (2018). Antisense oligonucleotides extend survival and reverse decrement in muscle response in ALS models. Journal of Clinical Investigation. 128(8). 3558–3567. 182 indexed citations
3.
Zhang, Xiaohua Douglas, Francesca Santini, Raul Lacson, et al.. (2011). cSSMD: assessing collective activity for addressing off-target effects in genome-scale RNA interference screens. Bioinformatics. 27(20). 2775–2781. 13 indexed citations
4.
Zhang, Xiaohua Douglas, Raul Lacson, Ruojing Yang, et al.. (2010). The Use of SSMD-Based False Discovery and False Nondiscovery Rates in Genome-Scale RNAi Screens. SLAS DISCOVERY. 15(9). 1123–1131. 21 indexed citations
5.
Eichler, Florian, Thorsten Hornemann, Alex McCampbell, et al.. (2009). Overexpression of the Wild-Type SPT1 Subunit Lowers Desoxysphingolipid Levels and Rescues the Phenotype of HSAN1. Journal of Neuroscience. 29(46). 14646–14651. 76 indexed citations
6.
Dornan, Wayne A., Alex McCampbell, Gregory P. Tinkler, et al.. (1997). Comparison of site specific injections into the basal forebrain on water maze and radial arm maze performance in the male rat after immunolesioning with 192 IgG saporin. Behavioural Brain Research. 86(2). 181–189. 111 indexed citations
7.
Dornan, Wayne A., Alex McCampbell, Gregory P. Tinkler, et al.. (1996). Comparison of site-specific injections into the basal forebrain on water maze and radial arm maze performance in the male rat after immunolesioning with 192 IgG saporin. Behavioural Brain Research. 82(1). 93–101. 67 indexed citations
8.
Dornan, Wayne A., et al.. (1993). Bilateral injections of βA(25–35)+IBO into the hippocampus disrupts acquisition of spatial learning in the rat. Neuroreport. 5(2). 165–168. 43 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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