Amy Bernard

36.7k total citations · 1 hit paper
75 papers, 4.8k citations indexed

About

Amy Bernard is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Amy Bernard has authored 75 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Immunology and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Amy Bernard's work include Neural dynamics and brain function (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Cell Image Analysis Techniques (7 papers). Amy Bernard is often cited by papers focused on Neural dynamics and brain function (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Cell Image Analysis Techniques (7 papers). Amy Bernard collaborates with scholars based in United States, France and Switzerland. Amy Bernard's co-authors include Lydia Ng, Susan M. Sunkin, Daniel A. Haber, Hongkui Zeng, Ed S. Lein, Michael Hawrylycz, Allan R. Jones, Marty Mortrud, Shyamala Maheswaran and David J. Anderson and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Amy Bernard

73 papers receiving 4.7k citations

Hit Papers

Highly Multiplexed Subcellular RNA Sequencing in Situ 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Bernard United States 31 2.3k 1.1k 863 780 372 75 4.8k
Caiying Guo United States 32 1.9k 0.8× 1.2k 1.1× 805 0.9× 377 0.5× 395 1.1× 41 3.9k
Seung Wook Oh United States 15 3.3k 1.4× 1.9k 1.8× 1.0k 1.2× 523 0.7× 577 1.6× 32 6.8k
Hatim A. Zariwala United States 11 2.5k 1.1× 1.9k 1.8× 1.4k 1.6× 484 0.6× 551 1.5× 13 6.0k
Bosiljka Tasic United States 28 4.7k 2.0× 1.5k 1.4× 781 0.9× 654 0.8× 931 2.5× 49 7.4k
Linda Madisen United States 27 4.1k 1.8× 2.5k 2.3× 1.3k 1.5× 772 1.0× 905 2.4× 40 8.7k
Melissa Goldman United States 11 5.6k 2.4× 1.1k 1.0× 437 0.5× 1.1k 1.4× 429 1.2× 16 7.9k
Kenneth N. Fish United States 37 1.4k 0.6× 1.6k 1.5× 905 1.0× 759 1.0× 324 0.9× 87 5.0k
Pim J. French Netherlands 44 3.5k 1.5× 1.1k 1.0× 445 0.5× 459 0.6× 358 1.0× 200 8.6k
Anthony J. Koleske United States 52 5.7k 2.4× 1.8k 1.7× 338 0.4× 560 0.7× 548 1.5× 133 9.5k
Lydia Ng United States 22 3.6k 1.6× 2.6k 2.4× 1.8k 2.1× 519 0.7× 750 2.0× 49 7.9k

Countries citing papers authored by Amy Bernard

Since Specialization
Citations

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

Fields of papers citing papers by Amy Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Bernard

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Bernard. A scholar is included among the top collaborators of Amy Bernard 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 Amy Bernard. Amy Bernard 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
1.
Benegal, Vivek, Amy Bernard, Sylvane Desrivières, et al.. (2024). The Earth, Brain, Health Commission: how to preserve mental health in a changing environment. Nature Mental Health. 2(10). 1121–1123.
2.
Bianconi, Ginestra, Edward T. Bullmore, Mark Burgess, et al.. (2023). Neuroscience Needs Network Science. Journal of Neuroscience. 43(34). 5989–5995. 38 indexed citations
3.
Eke, Damian, Amy Bernard, Jan G. Bjaalie, et al.. (2021). International data governance for neuroscience. Neuron. 110(4). 600–612. 41 indexed citations
4.
Miller, Jeremy A., Nathan W. Gouwens, Bosiljka Tasic, et al.. (2020). Common cell type nomenclature for the mammalian brain. eLife. 9. 38 indexed citations
5.
Billeh, Yazan N., Alexander V. Rodriguez, Michele Bellesi, et al.. (2016). Effects of Chronic Sleep Restriction during Early Adolescence on the Adult Pattern of Connectivity of Mouse Secondary Motor Cortex. eNeuro. 3(2). ENEURO.0053–16.2016. 18 indexed citations
6.
Kuan, Leonard, Yang Li, Chris Lau, et al.. (2014). Neuroinformatics of the Allen Mouse Brain Connectivity Atlas. Methods. 73. 4–17. 131 indexed citations
7.
Zariwala, Hatim A., Linda Madisen, Amy Bernard, et al.. (2011). Visual Tuning Properties of Genetically Identified Layer 2/3 Neuronal Types in the Primary Visual Cortex of Cre-Transgenic Mice. Frontiers in Systems Neuroscience. 4. 162–162. 49 indexed citations
8.
Bernard, Amy, Staci A. Sorensen, & Ed S. Lein. (2009). Shifting the paradigm: new approaches for characterizing and classifying neurons. Current Opinion in Neurobiology. 19(5). 530–536. 21 indexed citations
9.
Thompson, Carol L., Dev S. Pathak, Andreas Jeromin, et al.. (2008). Genomic Anatomy of the Hippocampus. Neuron. 60(6). 1010–1021. 304 indexed citations
10.
Daudet, Nicolas, et al.. (2008). Notch regulation of progenitor cell behavior in quiescent and regenerating auditory epithelium of mature birds. Developmental Biology. 326(1). 86–100. 85 indexed citations
11.
Verlaeten, Olivier, Sylvie Cavagna, Danielle Naville, et al.. (2007). Identification of Urop11, a novel leptin-modulated gene that is upregulated in the hypothalamus of mice with virus-induced obesity. Journal of Molecular Endocrinology. 38(1). 3–17. 4 indexed citations
12.
Burger, R. Michael, et al.. (2005). Expression of GABAB receptor in the avian auditory brainstem: Ontogeny, afferent deprivation, and ultrastructure. The Journal of Comparative Neurology. 489(1). 11–22. 16 indexed citations
13.
Breittmayer, J P, Philippe Chevallier, Sylvia Benzaken, et al.. (2005). Intrahepatic CD4+ T‐Cell Apoptosis is Related to METAVIR Score in Patients With Chronic Hepatitis C Virus. Scandinavian Journal of Immunology. 62(2). 168–175. 9 indexed citations
14.
15.
Akaoka, H., Christine Brisson, Aurélie Chalon, et al.. (2000). Astrocytic Alterations Induced by HTLV Type 1-Infected T Lymphocytes: A Role for Tax-1 and Tumor Necrosis Factor α. AIDS Research and Human Retroviruses. 16(16). 1723–1729. 22 indexed citations
16.
Anflous, Keltoum, et al.. (1998). Characterization of rat porin isoforms: cloning of a cardiac type-3 variant encoding an additional methionine at its putative N-terminal region. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1399(1). 47–50. 22 indexed citations
18.
Park, Seon Ki, Martin Schalling, Amy Bernard, et al.. (1993). The Wilms tumour gene WT1 is expressed in murine mesoderm–derived tissues and mutated in a human mesothelioma. Nature Genetics. 4(4). 415–420. 170 indexed citations
19.
Vlak, Just M., E.-J. Schlaeǵer, & Amy Bernard. (1992). Baculoviruses and recombinant protein production processes.. Socio-Environmental Systems Modeling. 1 indexed citations
20.
Boumsell, Laurence, G S Incefy, Amy Bernard, et al.. (1975). T lymphocyte differentiation in vitro in ataxia telangiectasia associated with lymphosarcoma. The Journal of Pediatrics. 87(3). 435–438. 5 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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