Dean Palejev

3.9k total citations · 1 hit paper
18 papers, 1.8k citations indexed

About

Dean Palejev is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Dean Palejev has authored 18 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Dean Palejev's work include Gene expression and cancer classification (5 papers), Pluripotent Stem Cells Research (3 papers) and CRISPR and Genetic Engineering (3 papers). Dean Palejev is often cited by papers focused on Gene expression and cancer classification (5 papers), Pluripotent Stem Cells Research (3 papers) and CRISPR and Genetic Engineering (3 papers). Dean Palejev collaborates with scholars based in United States, Bulgaria and Russia. Dean Palejev's co-authors include Flora M. Vaccarino, Anna Szekely, Livia Tomasini, Jessica Mariani, Gianfilippo Coppola, Mark Gerstein, Michael Wilson, Katarzyna Chawarska, Alexej Abyzov and Elena L. Grigorenko and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Dean Palejev

17 papers receiving 1.8k citations

Hit Papers

FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Di... 2015 2026 2018 2022 2015 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Differentiation in Autism Spectrum Disorders
    2015 767 citations Jessica Mariani, Gianfilippo Coppola et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dean Palejev United States 10 1.3k 336 325 308 287 18 1.8k
Anna Szekely United States 14 1.8k 1.3× 470 1.4× 318 1.0× 326 1.1× 293 1.0× 22 2.3k
Cleber A. Trujillo United States 25 1.3k 1.0× 375 1.1× 356 1.1× 581 1.9× 355 1.2× 47 2.1k
Jessica Mariani United States 12 1.9k 1.4× 534 1.6× 351 1.1× 425 1.4× 545 1.9× 22 2.4k
Cassiano Carromeu United States 16 1.4k 1.1× 562 1.7× 228 0.7× 488 1.6× 275 1.0× 28 2.0k
Livia Tomasini United States 12 1.5k 1.2× 585 1.7× 311 1.0× 332 1.1× 275 1.0× 16 2.1k
Sabina Kanton Germany 12 1.7k 1.3× 216 0.6× 455 1.4× 282 0.9× 396 1.4× 13 2.2k
Alex M. Sykes Australia 14 1.3k 1.0× 204 0.6× 205 0.6× 473 1.5× 500 1.7× 31 2.0k
Stefan Herms Germany 19 909 0.7× 385 1.1× 83 0.3× 315 1.0× 209 0.7× 65 1.6k
Nasir Malik United States 23 1.3k 1.0× 237 0.7× 182 0.6× 510 1.7× 140 0.5× 32 1.9k
Matthias Heidenreich United States 12 2.5k 1.9× 498 1.5× 160 0.5× 548 1.8× 94 0.3× 18 3.0k

Countries citing papers authored by Dean Palejev

Since Specialization
Citations

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

Fields of papers citing papers by Dean Palejev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean Palejev

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

All Works

18 of 18 papers shown
1.
2.
Vrahatis, Aristidis G., et al.. (2024). Predicting the Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using an Explainable AI Approach. Information. 15(5). 249–249. 4 indexed citations
3.
Koychev, Ivan, et al.. (2023). Identification of preclinical dementia according to ATN classification for stratified trial recruitment: A machine learning approach. PLoS ONE. 18(10). e0288039–e0288039. 2 indexed citations
4.
Palejev, Dean, et al.. (2022). A Framework for Comparison and Assessment of Synthetic RNA-Seq Data. Genes. 13(12). 2362–2362. 1 indexed citations
5.
Palejev, Dean & Mladen Savov. (2021). On the Convergence of the Benjamini–Hochberg Procedure. Mathematics. 9(17). 2154–2154. 2 indexed citations
6.
Palejev, Dean. (2017). Comparison of RNA-Seq Differential Expression Methods. Cybernetics and Information Technologies. 17(5). 60–67. 1 indexed citations
7.
Mariani, Jessica, Gianfilippo Coppola, Ping Zhang, et al.. (2015). FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Differentiation in Autism Spectrum Disorders. Cell. 162(2). 375–390. 767 indexed citations breakdown →
8.
Lennington, Jessica B., Gianfilippo Coppola, Yuko Kataoka-Sasaki, et al.. (2014). Transcriptome Analysis of the Human Striatum in Tourette Syndrome. Biological Psychiatry. 79(5). 372–382. 135 indexed citations
9.
Landjeva, S., et al.. (2014). Genetic diversity of old bread wheat germplasm from the Black Sea region evaluated by microsatellites and agronomic traits. Plant Genetic Resources. 13(2). 119–130. 10 indexed citations
10.
Ferguson, John & Dean Palejev. (2014). P-value calibration for multiple testing problems in genomics. Statistical Applications in Genetics and Molecular Biology. 13(6). 659–73. 3 indexed citations
11.
Abyzov, Alexej, Jessica Mariani, Dean Palejev, et al.. (2012). Somatic copy number mosaicism in human skin revealed by induced pluripotent stem cells. Nature. 492(7429). 438–442. 270 indexed citations
12.
Naumova, Oxana Yu., et al.. (2012). Age-related changes of gene expression in the neocortex: Preliminary data on RNA-Seq of the transcriptome in three functionally distinct cortical areas. Development and Psychopathology. 24(4). 1427–1442. 19 indexed citations
13.
Mariani, Jessica, Maria Vittoria Simonini, Dean Palejev, et al.. (2012). Modeling human cortical development in vitro using induced pluripotent stem cells. Proceedings of the National Academy of Sciences. 109(31). 12770–12775. 378 indexed citations
14.
Rakhlin, Natalia, Sergey A. Kornilov, Dean Palejev, et al.. (2012). The language phenotype of a small geographically isolated Russian-speaking population: Implications for genetic and clinical studies of developmental language disorder. Applied Psycholinguistics. 34(5). 971–1003. 16 indexed citations
15.
Palejev, Dean, Nicole Landi, Stephen J. Frost, et al.. (2011). An Application of the Elastic Net for an Endophenotype Analysis. Behavior Genetics. 41(1). 120–124. 2 indexed citations
16.
Vaccarino, Flora M., Hanna E. Stevens, Arif Kocabas, et al.. (2011). Induced pluripotent stem cells: A new tool to confront the challenge of neuropsychiatric disorders. Neuropharmacology. 60(7-8). 1355–1363. 32 indexed citations
17.
Canaan, Allon, Izhak Haviv, Alexander E. Urban, et al.. (2009). EBNA1 regulates cellular gene expression by binding cellular promoters. Proceedings of the National Academy of Sciences. 106(52). 22421–22426. 77 indexed citations
18.
Pan, Xinghua, Alexander E. Urban, Dean Palejev, et al.. (2008). A procedure for highly specific, sensitive, and unbiased whole-genome amplification. Proceedings of the National Academy of Sciences. 105(40). 15499–15504. 79 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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