Sudeep Sahadevan

572 total citations
22 papers, 395 citations indexed

About

Sudeep Sahadevan is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Sudeep Sahadevan has authored 22 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Sudeep Sahadevan's work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers) and RNA Research and Splicing (6 papers). Sudeep Sahadevan is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers) and RNA Research and Splicing (6 papers). Sudeep Sahadevan collaborates with scholars based in Germany, Indonesia and Türkiye. Sudeep Sahadevan's co-authors include K. Schellander, Dawit Tesfaye, Ernst Tholen, Christiane Neuhoff, Christian Looft, Dessie Salilew‐Wondim, F. Rings, Samuel Gebremedhn, Michael Hoelker and Ijaz Ahmad and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Sudeep Sahadevan

22 papers receiving 394 citations

Peers

Countries citing papers authored by Sudeep Sahadevan

Since Specialization

Citations

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

Fields of papers citing papers by Sudeep Sahadevan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudeep Sahadevan

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Systematic analysis of RNA-binding proteins identifies targetable therapeutic vulnerabilities in osteosarcoma 2024 ·Nature Communications ·Yang Zhou, Partho Sarothi Ray, Jianguo Zhu, Frank Stein, Mandy Rettel, (unknown), Sudeep Sahadevan, Joel I. Perez-Perri, (unknown), Ola Myklebost, Leonardo A. Meza‐Zepeda, Andreas von Deimling, Chu‐Li Fu, (unknown), Kjetil Boye, Michaela Nathrath, Claudia Blattmann, Burkhard Lehner, Matthias W. Hentze, Andreas E. Kulozik	5
2	Global gene regulatory network underlying miR165a in Arabidopsis shoot apical meristem 2023 ·Scientific Reports ·S. K. Sinha, Sudeep Sahadevan, Carolyn Ohno, Hasthi Ram, Marcus G. Heisler	1
3	The RNA-binding protein landscapes differ between mammalian organs and cultured cells 2023 ·Nature Communications ·Joel I. Perez-Perri, Dunja Ferring–Appel, Ina Huppertz, Thomas Schwarzl, Sudeep Sahadevan, Frank Stein, Mandy Rettel, Bruno Galy, Matthias W. Hentze	22
4	Improved discovery of RNA-binding protein binding sites in eCLIP data using DEWSeq 2023 ·Nucleic Acids Research ·Thomas Schwarzl, Sudeep Sahadevan, Benjamin Lang, Milad Miladi, Rolf Backofen, Wolfgang Huber, Matthias W. Hentze, Gian Gaetano Tartaglia	8
5	Small noncoding RNA interactome capture reveals pervasive, carbon source–dependent tRNA engagement of yeast glycolytic enzymes 2022 ·RNA ·Claudio Asencio, Thomas Schwarzl, Sudeep Sahadevan, Matthias W. Hentze	3
6	htseq-clip: a toolset for the preprocessing of eCLIP/iCLIP datasets 2022 ·Bioinformatics ·Sudeep Sahadevan, (unknown), (unknown), (unknown), Matthias W. Hentze, Wolfgang Huber, Thomas Schwarzl	7
7	A Pipeline for Analyzing eCLIP and iCLIP Data with Htseq-clip and DEWSeq 2021 ·Methods in molecular biology ·Sudeep Sahadevan, (unknown), Thomas Schwarzl	4
8	MPP8 is essential for sustaining self-renewal of ground-state pluripotent stem cells 2021 ·Nature Communications ·Iris Müller, (unknown), Daria Shlyueva, Sudeep Sahadevan, Erwin M. Schoof, Aliaksandra Radzisheuskaya, Jonas W. Højfeldt, Tülin Tatar, Richard P. Koche, Chang Huang, Kristian Helin	36
9	An integrated analysis of cell-type specific gene expression reveals genes regulated by REVOLUTA and KANADI1 in the Arabidopsis shoot apical meristem 2020 ·PLoS Genetics ·Hasthi Ram, Sudeep Sahadevan, Nittaya Gale, Monica Pia Caggiano, Xiulian Yu, Carolyn Ohno, Marcus G. Heisler	19
10	Transcriptome profile of lung dendritic cells after in vitro porcine reproductive and respiratory syndrome virus (PRRSV) infection 2017 ·PLoS ONE ·(unknown), Christiane Neuhoff, K. Schellander, Muhammad Jasim Uddin, Mehmet Ulaş Çınar, Sudeep Sahadevan, (unknown), Md. Aminul Islam, (unknown), Marcel A. Müller, Christian Drosten, Dawit Tesfaye, Ernst Tholen, Christine Große‐Brinkhaus	15
11	Exploring novel mechanistic insights in Alzheimer’s disease by assessing reliability of protein interactions 2015 ·Scientific Reports ·(unknown), Erfan Younesi, Sudeep Sahadevan, (unknown), Martin Hofmann‐Apitius	10
12	MicroRNA Expression Profile in Bovine Granulosa Cells of Preovulatory Dominant and Subordinate Follicles during the Late Follicular Phase of the Estrous Cycle 2015 ·PLoS ONE ·Samuel Gebremedhn, Dessie Salilew‐Wondim, Ijaz Ahmad, Sudeep Sahadevan, M.M. Hossain, Michael Hoelker, F. Rings, Christiane Neuhoff, Ernst Tholen, Christian Looft, K. Schellander, Dawit Tesfaye	87
13	Identification of gene co-expression clusters in liver tissues from multiple porcine populations with high and low backfat androstenone phenotype 2015 ·BMC Genetics ·Sudeep Sahadevan, Ernst Tholen, Christine Große‐Brinkhaus, K. Schellander, Dawit Tesfaye, Martin Hofmann‐Apitius, Mehmet Ulaş Çınar, Asep Gunawan, Michael Hölker, Christiane Neuhoff	5
14	Expression profiling of noncoding microRNAs in bovine granulosa cells of preovulatory dominant follicle using deep sequencing 2014 ·Murdoch Research Repository (Murdoch University) ·Samuel Gebremedhn, Ijaz Ahmad, Dessie Salilew‐Wondim, Sudeep Sahadevan, Michael Hoelker, F. Rings, Muhammad Jasim Uddin, Ernst Tholen, Christian Looft, K. Schellander, Dawit Tesfaye	1
15	The Expression Pattern of microRNAs in Granulosa Cells of Subordinate and Dominant Follicles during the Early Luteal Phase of the Bovine Estrous Cycle 2014 ·PLoS ONE ·Dessie Salilew‐Wondim, Ijaz Ahmad, Samuel Gebremedhn, Sudeep Sahadevan, M.M. Hossain, F. Rings, Michael Hoelker, Ernst Tholen, Christiane Neuhoff, Christian Looft, K. Schellander, Dawit Tesfaye	77
16	Pathway Based Analysis of Genes and Interactions Influencing Porcine Testis Samples from Boars with Divergent Androstenone Content in Back Fat 2014 ·PLoS ONE ·Sudeep Sahadevan, Asep Gunawan, Ernst Tholen, Christine Große‐Brinkhaus, Dawit Tesfaye, K. Schellander, Martin Hofmann‐Apitius, Mehmet Ulaş Çınar, Muhammad Jasim Uddin	9
17	RNA Deep Sequencing Reveals Novel Candidate Genes and Polymorphisms in Boar Testis and Liver Tissues with Divergent Androstenone Levels 2013 ·PLoS ONE ·Asep Gunawan, Sudeep Sahadevan, Christiane Neuhoff, Christine Große‐Brinkhaus, Ahmed Gad, (unknown), Dawit Tesfaye, Ernst Tholen, Christian Looft, Muhammad Jasim Uddin, K. Schellander, Mehmet Ulaş Çınar	38
18	Identification of the Novel Candidate Genes and Variants in Boar Liver Tissues with Divergent Skatole Levels Using RNA Deep Sequencing 2013 ·PLoS ONE ·Asep Gunawan, Sudeep Sahadevan, Mehmet Ulaş Çınar, Christiane Neuhoff, Christine Große‐Brinkhaus, (unknown), Dawit Tesfaye, Ernst Tholen, Christian Looft, Dessie Salilew‐Wondim, Michael Hölker, K. Schellander, Muhammad Jasim Uddin	31
19	111 REGULATORY microRNA ENRICHMENT AND DEGRADATION IN GRANULOSA CELLS DURING BOVINE FOLLICULAR RECRUITMENT AND DOMINANCE 2013 ·Reproduction Fertility and Development ·Dessie Salilew‐Wondim, Ijaz Ahmad, Samuel Gebremedhn, Sudeep Sahadevan, Michael Hoelker, F. Rings, (unknown), Ernst Tholen, Christian Looft, K. Schellander, Dawit Tesfaye	1
20	113 EXPRESSION PROFILING OF NONCODING microRNAs IN BOVINE GRANULOSA CELLS OF PREOVULATORY DOMINANT FOLLICLE USING DEEP SEQUENCING 2013 ·Reproduction Fertility and Development ·Samuel Gebremedhn, Ijaz Ahmad, Dessie Salilew‐Wondim, Sudeep Sahadevan, Michael Hoelker, F. Rings, (unknown), Ernst Tholen, Christian Looft, K. Schellander, Dawit Tesfaye	3

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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