Debayan Datta

681 total citations
9 papers, 452 citations indexed

About

Debayan Datta is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Debayan Datta has authored 9 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Physiology and 1 paper in Neurology. Recurrent topics in Debayan Datta's work include Gene expression and cancer classification (3 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related gene regulation (2 papers). Debayan Datta is often cited by papers focused on Gene expression and cancer classification (3 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related gene regulation (2 papers). Debayan Datta collaborates with scholars based in United States, Spain and Palestinian Territory. Debayan Datta's co-authors include Salvador Aznar Benitah, Guiomar Solanas, Hongyu Zhao, Alexandra Avgustinova, Lorenzo Rinaldi, Judit Serrat, David Matallanas, Alex von Kriegsheim, Javier Manuel Caballero and Paolo Sassone‐Corsi and has published in prestigious journals such as Cell, Bioinformatics and Scientific Reports.

In The Last Decade

Debayan Datta

8 papers receiving 452 citations

Peers

Countries citing papers authored by Debayan Datta

Since Specialization

Citations

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

Fields of papers citing papers by Debayan Datta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debayan Datta

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

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Frequent genetic alterations in myositis autoantigen genes in cancer-associated dermatomyositis 2025 ·Annals of the Rheumatic Diseases ·(unknown), Javier Ros, Albert Gil‐Vila, Debayan Datta, Roberta Fasani, Garazi Serna, J. L. Jiménez, Ernesto Trallero‐Araguás, Cristina Viaplana, (unknown), José C. Milisenda, Josep M. Grau‐Junyent, Ricardo López‐Pérez, Iago Pinal‐Fernandez, Paolo Nucíforo, Rodrigo A. Toledo, Albert Selva-O’Callaghan	0
2	Screening of dementia genes by whole-exome sequencing in Spanish patients with early-onset dementia: likely pathogenic, uncertain significance and risk variants 2020 ·Neurobiology of Aging ·Oscar Ramos‐Campoy, Anna Antonell, Neus Falgàs, Mircea Balasa, Sergi Borrego‐Écija, Benjamín Rodríguez‐Santiago, Debayan Datta, Lluı́s Armengol, Guadalupe Fernández‐Villullas, Beatríz Bosch, Jaume Olives, (unknown), (unknown), Adrià Tort‐Merino, Raquel Sánchez‐Valle, Albert Lladó	13
3	Aged Stem Cells Reprogram Their Daily Rhythmic Functions to Adapt to Stress 2017 ·Cell ·Guiomar Solanas, (unknown), Eusebio Perdiguero, Mercè Jardı́, Vanessa Ruiz‐Bonilla, Debayan Datta, Aikaterini Symeonidi, Andrés Castellanos‐Martín, Patrick-Simon Welz, Javier Manuel Caballero, Paolo Sassone‐Corsi, Pura Muñoz‐Cánoves, Salvador Aznar Benitah	170
4	Loss of Dnmt3a and Dnmt3b does not affect epidermal homeostasis but promotes squamous transformation through PPAR-γ 2017 ·eLife ·Lorenzo Rinaldi, Alexandra Avgustinova, Mercè Martı́n, Debayan Datta, Guiomar Solanas, Neus Prats, Salvador Aznar Benitah	45
5	Dnmt3a and Dnmt3b Associate with Enhancers to Regulate Human Epidermal Stem Cell Homeostasis 2016 ·Cell stem cell ·Lorenzo Rinaldi, Debayan Datta, Judit Serrat, Lluís Morey, Guiomar Solanas, Alexandra Avgustinova, Enrique Blanco, (unknown), David Matallanas, Alex von Kriegsheim, Luciano Di Croce, Salvador Aznar Benitah	159
6	Genomic analysis of the blood attributed to Louis XVI (1754–1793), king of France 2014 ·Scientific Reports ·Íñigo Olalde, Federico Sánchez‐Quinto, Debayan Datta, Urko M. Marigorta, Charleston W. K. Chiang, Juan Antonio Rodríguez, Marcos Fernández-Callejo, Itzı́ar González, Magda Montfort, (unknown), Sergi Civit, Donata Luiselli, Philippe Charlier, Davide Pettener, Óscar Ramírez, Arcadi Navarro, Heinz Himmelbauer, Tomàs Marquès‐Bonet, Carles Lalueza‐Fox	13
7	Effect of false positive and false negative rates on inference of binding target conservation across different conditions and species from ChIP-chip data 2009 ·BMC Bioinformatics ·Debayan Datta, Hongyu Zhao	1
8	Pathway analysis using random forests with bivariate node-split for survival outcomes 2009 ·Bioinformatics ·Herbert Pang, Debayan Datta, Hongyu Zhao	32
9	Statistical methods to infer cooperative binding among transcription factors inSaccharomyces cerevisiae 2007 ·Bioinformatics ·Debayan Datta, Hongyu Zhao	19

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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