Adam T. Palermo

1.1k total citations
9 papers, 638 citations indexed

About

Adam T. Palermo is a scholar working on Molecular Biology, Sensory Systems and Cognitive Neuroscience. According to data from OpenAlex, Adam T. Palermo has authored 9 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Sensory Systems and 2 papers in Cognitive Neuroscience. Recurrent topics in Adam T. Palermo's work include Hearing, Cochlea, Tinnitus, Genetics (3 papers), Pluripotent Stem Cells Research (3 papers) and Hearing Loss and Rehabilitation (2 papers). Adam T. Palermo is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (3 papers), Pluripotent Stem Cells Research (3 papers) and Hearing Loss and Rehabilitation (2 papers). Adam T. Palermo collaborates with scholars based in United States, United Kingdom and Canada. Adam T. Palermo's co-authors include Helen M. Blau, Jason H. Pomerantz, Kathy S. So, J. C. Burns, Régis Doyonnas, Dwight E. Bergles, Gabriela Pregernig, Shuohao Sun, Travis A. Babola and Matthew Nguyen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Adam T. Palermo

9 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam T. Palermo United States 7 333 322 152 72 67 9 638
Marc Diensthuber Germany 12 222 0.7× 297 0.9× 91 0.6× 27 0.4× 69 1.0× 44 637
Luo Guo China 18 473 1.4× 521 1.6× 118 0.8× 78 1.1× 115 1.7× 44 940
Bryan Kuo United States 9 372 1.1× 493 1.5× 146 1.0× 22 0.3× 136 2.0× 11 768
Steven Raft United States 10 463 1.4× 393 1.2× 70 0.5× 47 0.7× 79 1.2× 10 779
Weise Chang United States 14 687 2.1× 551 1.7× 81 0.5× 61 0.8× 122 1.8× 16 1.0k
M. De Silva Australia 13 274 0.8× 337 1.0× 146 1.0× 32 0.4× 27 0.4× 24 661
Karen S. Pawlowski United States 15 321 1.0× 345 1.1× 127 0.8× 24 0.3× 25 0.4× 32 815
Fangzhi Tan China 13 423 1.3× 320 1.0× 70 0.5× 15 0.2× 58 0.9× 27 656
Leïla Abbas United Kingdom 11 401 1.2× 290 0.9× 96 0.6× 20 0.3× 39 0.6× 14 703

Countries citing papers authored by Adam T. Palermo

Since Specialization
Citations

This map shows the geographic impact of Adam T. Palermo'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 Adam T. Palermo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam T. Palermo more than expected).

Fields of papers citing papers by Adam T. Palermo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam T. Palermo. 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 Adam T. Palermo. The network helps show where Adam T. Palermo may publish in the future.

Co-authorship network of co-authors of Adam T. Palermo

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

All Works

9 of 9 papers shown
1.
Bacal, Vanessa, et al.. (2025). A systematic review and meta-analysis of the diagnostic accuracy after preimplantation genetic testing for aneuploidy. PLoS ONE. 20(5). e0321859–e0321859. 1 indexed citations
2.
So, Kathy S., Meghan C. Drummond, Yang Tian, et al.. (2024). Recovery kinetics of dual AAV-mediated human otoferlin expression. Frontiers in Molecular Neuroscience. 17. 1376128–1376128. 1 indexed citations
3.
Kolla, Likhitha, Michael C. Kelly, Zoë F. Mann, et al.. (2020). Characterization of the development of the mouse cochlear epithelium at the single cell level. Nature Communications. 11(1). 2389–2389. 177 indexed citations
4.
Sun, Shuohao, Travis A. Babola, Gabriela Pregernig, et al.. (2018). Hair Cell Mechanotransduction Regulates Spontaneous Activity and Spiral Ganglion Subtype Specification in the Auditory System. Cell. 174(5). 1247–1263.e15. 215 indexed citations
5.
Plavsic, Mark, et al.. (2011). Caliciviridae and Vesivirus 2117. BioProcessing Journal. 9(2). 6–12. 8 indexed citations
6.
Pomerantz, Jason H., Semanti Mukherjee, Adam T. Palermo, & Helen M. Blau. (2009). Reprogramming to a muscle fate by fusion recapitulates differentiation. Journal of Cell Science. 122(7). 1045–1053. 21 indexed citations
7.
Palermo, Adam T., Régis Doyonnas, Nidhi Bhutani, et al.. (2009). Nuclear reprogramming in heterokaryons is rapid, extensive, and bidirectional. The FASEB Journal. 23(5). 1431–1440. 40 indexed citations
8.
Zhang, Fan, et al.. (2007). Active tissue-specific DNA demethylation conferred by somatic cell nuclei in stable heterokaryons. Proceedings of the National Academy of Sciences. 104(11). 4395–4400. 65 indexed citations
9.
Palermo, Adam T., Mark A. LaBarge, Régis Doyonnas, Jason H. Pomerantz, & Helen M. Blau. (2005). Bone marrow contribution to skeletal muscle: A physiological response to stress. Developmental Biology. 279(2). 336–344. 110 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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