Andrew J. Bean

3.4k total citations · 1 hit paper
63 papers, 2.8k citations indexed

About

Andrew J. Bean is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Andrew J. Bean has authored 63 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 22 papers in Cell Biology and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Andrew J. Bean's work include Cellular transport and secretion (22 papers), Receptor Mechanisms and Signaling (11 papers) and Neuropeptides and Animal Physiology (10 papers). Andrew J. Bean is often cited by papers focused on Cellular transport and secretion (22 papers), Receptor Mechanisms and Signaling (11 papers) and Neuropeptides and Animal Physiology (10 papers). Andrew J. Bean collaborates with scholars based in United States, Sweden and Norway. Andrew J. Bean's co-authors include T. H�kfelt, Kristina Friberg, Tomas Hökfelt, Richard H. Scheller, Qing Yan, Robert H. Roth, Wei Sun, Thomas A. Vida, Björn Meister and Ralf F. Pettersson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Andrew J. Bean

62 papers receiving 2.8k citations

Hit Papers

Sensitive mRNA detection using unfixed tissue: combined r... 1992 2026 2003 2014 1992 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Bean United States 28 1.6k 884 750 337 268 63 2.8k
Tomoyuki Yoshida Japan 31 1.3k 0.8× 792 0.9× 322 0.4× 247 0.7× 308 1.1× 160 2.9k
Paola Podini Italy 30 1.9k 1.2× 630 0.7× 780 1.0× 291 0.9× 142 0.5× 58 3.0k
Zhen‐Ge Luo China 30 2.4k 1.5× 967 1.1× 831 1.1× 234 0.7× 147 0.5× 77 4.1k
Ivan de Curtis Italy 33 1.8k 1.2× 694 0.8× 1.3k 1.7× 164 0.5× 145 0.5× 93 3.1k
Sandra T. Cooper Australia 38 2.7k 1.7× 445 0.5× 650 0.9× 392 1.2× 158 0.6× 95 3.6k
Douglas S. Campbell United States 17 2.2k 1.4× 1.2k 1.4× 1.1k 1.5× 175 0.5× 125 0.5× 31 3.6k
Eric Macia France 22 2.7k 1.7× 377 0.4× 1.8k 2.5× 410 1.2× 238 0.9× 26 3.9k
Kay L. Fields United States 21 1.8k 1.2× 1.7k 1.9× 562 0.7× 229 0.7× 168 0.6× 31 3.7k
Corey L. Smith United States 23 2.5k 1.6× 435 0.5× 657 0.9× 160 0.5× 110 0.4× 36 3.1k
Christine Le Roy France 33 3.6k 2.3× 517 0.6× 857 1.1× 319 0.9× 221 0.8× 70 5.6k

Countries citing papers authored by Andrew J. Bean

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Bean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Bean. 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 Andrew J. Bean. The network helps show where Andrew J. Bean may publish in the future.

Co-authorship network of co-authors of Andrew J. Bean

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Bean. A scholar is included among the top collaborators of Andrew J. Bean 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 Andrew J. Bean. Andrew J. Bean 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
2.
McLean, John W., Julie A. Wilson, Andrew J. Bean, et al.. (2022). Disruption of Endosomal Sorting in Schwann Cells Leads to Defective Myelination and Endosomal Abnormalities Observed in Charcot-Marie-Tooth Disease. Journal of Neuroscience. 42(25). 5085–5101. 3 indexed citations
4.
Gireud, Monica, Sahily Reyes‐Esteves, Madeline M. Farley, et al.. (2018). Distinct mechanisms enable inward or outward budding from late endosomes/multivesicular bodies. Experimental Cell Research. 372(1). 1–15. 4 indexed citations
5.
Gerard, Amanda, Sarah Noblin, S. Shahrukh Hashmi, et al.. (2018). Undergraduate Student Perceptions and Awareness of Genetic Counseling. Journal of Genetic Counseling. 28(1). 27–39. 12 indexed citations
6.
Figueroa, Javier, Lynette M. Phillips, Tal Shahar, et al.. (2017). Exosomes from Glioma-Associated Mesenchymal Stem Cells Increase the Tumorigenicity of Glioma Stem-like Cells via Transfer of miR-1587. Cancer Research. 77(21). 5808–5819. 181 indexed citations
7.
Whittle, Sarah Burkhead, Sahily Reyes‐Esteves, Monica Gireud, et al.. (2016). A Polymorphism in the FGFR4 Gene Is Associated With Risk of Neuroblastoma and Altered Receptor Degradation. Journal of Pediatric Hematology/Oncology. 38(2). 131–138. 12 indexed citations
8.
Gireud, Monica, Natalie Sirisaengtaksin, Susan Tsunoda, & Andrew J. Bean. (2014). Cell-Free Reconstitution of Multivesicular Body (MVB) Cargo Sorting. Methods in molecular biology. 1270. 115–124. 4 indexed citations
10.
Serda, Rita E., Aaron Mack, Anne L. van de Ven, et al.. (2010). Logic‐Embedded Vectors for Intracellular Partitioning, Endosomal Escape, and Exocytosis of Nanoparticles. Small. 6(23). 2691–2700. 84 indexed citations
11.
Ferrati, Silvia, Aaron Mack, Ciro Chiappini, et al.. (2010). Intracellular trafficking of silicon particles and logic-embedded vectors. Nanoscale. 2(8). 1512–1512. 44 indexed citations
12.
Millman, Ellen E., Haibin Zhang, Haixia Zhang, et al.. (2008). Rapid Recycling of β2‐Adrenergic Receptors is Dependent on the Actin Cytoskeleton and Myosin Vb. Traffic. 9(11). 1958–1971. 28 indexed citations
13.
Yan, Qing, Wei Sun, James A. McNew, Thomas A. Vida, & Andrew J. Bean. (2004). Ca2+ and N-Ethylmaleimide-sensitive Factor Differentially Regulate Disassembly of SNARE Complexes on Early Endosomes. Journal of Biological Chemistry. 279(18). 18270–18276. 24 indexed citations
14.
Jacobsson, Gunilla, Andrew J. Bean, & Björn Meister. (1999). Isoform-Specific Exocytotic Protein mRNA Expression in Hypothalamic Magnocellular Neurons: Regulation after Osmotic Challenge. Neuroendocrinology. 70(6). 392–401. 11 indexed citations
15.
Meister, Björn, Andrew J. Bean, & Anita Aperia. (1993). Catechol-O-methyltransferase mRNA in the kidney and its appearance during ontogeny. Kidney International. 44(4). 726–733. 26 indexed citations
16.
Bean, Andrew J., Cornelia Oellig, Ralf F. Pettersson, & Tomas Hökfelt. (1992). Differential expression of acidic and basic FGF in the rat substantia nigra during development. Neuroreport. 3(11). 993–996. 18 indexed citations
17.
Bean, Andrew J., et al.. (1991). Effect of intracerebral injection of monoclonal acetylcholinesterase antibodies on cholinergic nerve terminals in the rat central nervous system. Neuroscience Letters. 133(1). 145–149. 15 indexed citations
18.
Bean, Andrew J., M. J. During, & Robert H. Roth. (1990). Effects of dopamine autoreceptor stimulation on the release of colocalized transmitters: In vivo release of dopamine and neurotensin from rat prefrontal cortex. Neuroscience Letters. 108(1-2). 143–148. 35 indexed citations
19.
Bowden, Charles R., et al.. (1988). Re-evaluation of histidyl-proline diketopiperazine [cyclo(his-pro)] effects on food intake in the rat. Pharmacology Biochemistry and Behavior. 29(2). 357–363. 5 indexed citations
20.
Deutch, Ariel Y., Andrew J. Bean, & Robert H. Roth. (1988). Regulation of A8 dopomine neurons by smuatostatin. European Journal of Pharmacology. 147(2). 317–320. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026