Andrew M. Pickering

863 total citations
15 papers, 570 citations indexed

About

Andrew M. Pickering is a scholar working on Molecular Biology, Aging and Genetics. According to data from OpenAlex, Andrew M. Pickering has authored 15 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Aging and 4 papers in Genetics. Recurrent topics in Andrew M. Pickering's work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Ubiquitin and proteasome pathways (4 papers) and Mitochondrial Function and Pathology (3 papers). Andrew M. Pickering is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (6 papers), Ubiquitin and proteasome pathways (4 papers) and Mitochondrial Function and Pathology (3 papers). Andrew M. Pickering collaborates with scholars based in United States and Poland. Andrew M. Pickering's co-authors include E. Sandra Chocrón, Robert Ε. Kohler, Erin Munkácsy, Kelvin J.A. Davies, Derek Sieburth, John Tower, Richard A. Miller, Marcus Lehr, William Köhler and Anirban Maitra and has published in prestigious journals such as Nature Communications, Contemporary Sociology A Journal of Reviews and Free Radical Biology and Medicine.

In The Last Decade

Andrew M. Pickering

14 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew M. Pickering United States 12 362 105 90 90 65 15 570
Christian Feller Germany 10 660 1.8× 51 0.5× 90 1.0× 68 0.8× 44 0.7× 12 780
Ryan R. White United States 13 649 1.8× 149 1.4× 147 1.6× 131 1.5× 36 0.6× 15 865
Lichun Tang China 10 510 1.4× 132 1.3× 58 0.6× 76 0.8× 29 0.4× 22 649
Kelly M. Grimes United States 14 333 0.9× 76 0.7× 111 1.2× 80 0.9× 91 1.4× 23 613
Yvonne Rijksen Netherlands 6 337 0.9× 42 0.4× 71 0.8× 41 0.5× 44 0.7× 11 499
Patrick Jouandin France 10 230 0.6× 42 0.4× 59 0.7× 68 0.8× 60 0.9× 11 440
Ayça Arslan-Ergül Türkiye 10 170 0.5× 57 0.5× 109 1.2× 35 0.4× 60 0.9× 19 378
César Payán‐Gómez Colombia 13 281 0.8× 72 0.7× 115 1.3× 33 0.4× 27 0.4× 48 557
Jacqueline L. Avila United States 6 449 1.2× 114 1.1× 90 1.0× 31 0.3× 159 2.4× 9 769
David B. Rhee United States 6 560 1.5× 39 0.4× 211 2.3× 52 0.6× 44 0.7× 7 741

Countries citing papers authored by Andrew M. Pickering

Since Specialization
Citations

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

Fields of papers citing papers by Andrew M. Pickering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew M. Pickering

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

All Works

15 of 15 papers shown
1.
Osmulski, Paweł A., et al.. (2025). Proteasome Augmentation Mitigates Age‐Related Cognitive Decline in Mice. Aging Cell. 24(3). e14492–e14492.
2.
Pickering, Andrew M., et al.. (2023). Protein translation paradox: Implications in translational regulation of aging. Frontiers in Cell and Developmental Biology. 11. 1129281–1129281. 19 indexed citations
3.
Pickering, Andrew M., et al.. (2023). The proteasome: A key modulator of nervous system function, brain aging, and neurodegenerative disease. Frontiers in Cell and Developmental Biology. 11. 1124907–1124907. 32 indexed citations
4.
Munkácsy, Erin, Aric N. Rogers, Yidong Bai, et al.. (2023). Early-adulthood spike in protein translation drives aging via juvenile hormone/germline signaling. Nature Communications. 14(1). 5021–5021. 9 indexed citations
5.
Chocrón, E. Sandra, Erin Munkácsy, Candice E. Van Skike, et al.. (2022). Genetic and pharmacologic proteasome augmentation ameliorates Alzheimer’s-like pathology in mouse and fly APP overexpression models. Science Advances. 8(23). eabk2252–eabk2252. 33 indexed citations
6.
Lee, Dong Hwan, Joy N. Tsai, E. Sandra Chocrón, et al.. (2022). Gut- and oral-dysbiosis differentially impact spinal- and bulbar-onset ALS, predicting ALS severity and potentially determining the location of disease onset. BMC Neurology. 22(1). 62–62. 33 indexed citations
7.
Chocrón, E. Sandra, et al.. (2022). Mitochondrial TrxR2 regulates metabolism and protects from metabolic disease through enhanced TCA and ETC function. Communications Biology. 5(1). 467–467. 11 indexed citations
8.
Zhu, Ziwen, Abhinav Achreja, Noah Meurs, et al.. (2020). Tumour-reprogrammed stromal BCAT1 fuels branched-chain ketoacid dependency in stromal-rich PDAC tumours. Nature Metabolism. 2(8). 775–792. 136 indexed citations
9.
Chocrón, E. Sandra, Erin Munkácsy, & Andrew M. Pickering. (2018). Cause or casualty: The role of mitochondrial DNA in aging and age-associated disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(2). 285–297. 72 indexed citations
10.
Pickering, Andrew M., Marcus Lehr, Christi M. Gendron, Scott D. Pletcher, & Richard A. Miller. (2017). Mitochondrial thioredoxin reductase 2 is elevated in long‐lived primate as well as rodent species and extends fly mean lifespan. Aging Cell. 16(4). 683–692. 20 indexed citations
11.
Pickering, Andrew M., Marcus Lehr, William Köhler, Melissa Han, & Richard A. Miller. (2014). Fibroblasts From Longer-Lived Species of Primates, Rodents, Bats, Carnivores, and Birds Resist Protein Damage. The Journals of Gerontology Series A. 70(7). 791–799. 34 indexed citations
12.
Pickering, Andrew M., et al.. (2012). A conserved role for the 20S proteasome and Nrf2 transcription factor in oxidative-stress adaptation in mammals, C. elegans and D. melanogaster. Journal of Experimental Biology. 216(Pt 4). 543–53. 83 indexed citations
13.
Pickering, Andrew M. & Kelvin J.A. Davies. (2011). A simple fluorescence labeling method for studies of protein oxidation, protein modification, and proteolysis. Free Radical Biology and Medicine. 52(2). 239–246. 15 indexed citations
14.
Nuzhdin, Sergey V., Jennifer A. Brisson, Andrew M. Pickering, et al.. (2009). Natural genetic variation in transcriptome reflects network structure inferred with major effect mutations: insulin/TOR and associated phenotypes in Drosophila melanogaster. BMC Genomics. 10(1). 124–124. 18 indexed citations
15.
Pickering, Andrew M. & Robert Ε. Kohler. (1995). Lords of the Fly: Drosophila Genetics and the Experimental Life.. Contemporary Sociology A Journal of Reviews. 24(2). 264–264. 55 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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