Sudipto Roy

5.6k total citations
79 papers, 3.7k citations indexed

About

Sudipto Roy is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Sudipto Roy has authored 79 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 35 papers in Genetics and 15 papers in Cell Biology. Recurrent topics in Sudipto Roy's work include Genetic and Kidney Cyst Diseases (29 papers), Developmental Biology and Gene Regulation (21 papers) and Epigenetics and DNA Methylation (19 papers). Sudipto Roy is often cited by papers focused on Genetic and Kidney Cyst Diseases (29 papers), Developmental Biology and Gene Regulation (21 papers) and Epigenetics and DNA Methylation (19 papers). Sudipto Roy collaborates with scholars based in Singapore, United Kingdom and India. Sudipto Roy's co-authors include Philip W. Ingham, Christian M. Wolff, K VijayRaghavan, Xianwen Yu, Chee Peng Ng, Semil P. Choksi, Gilbert Lauter, Peter Swoboda, Mary K. Baylies and Shannon F. Yu and has published in prestigious journals such as Science, Cell and Neuron.

In The Last Decade

Sudipto Roy

77 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudipto Roy Singapore 35 2.9k 1.3k 755 368 242 79 3.7k
Rebecca D. Burdine United States 34 2.7k 0.9× 1.0k 0.8× 771 1.0× 273 0.7× 233 1.0× 53 3.7k
Aimée Zúñiga Switzerland 25 2.9k 1.0× 833 0.7× 389 0.5× 223 0.6× 245 1.0× 45 3.9k
J. Gage Crump United States 40 3.1k 1.1× 955 0.7× 1.0k 1.3× 479 1.3× 321 1.3× 81 4.5k
Delphine Samson France 11 2.0k 0.7× 1.4k 1.1× 437 0.6× 604 1.6× 296 1.2× 13 4.1k
Elena V. Semina United States 36 3.6k 1.2× 2.0k 1.6× 416 0.6× 317 0.9× 257 1.1× 98 4.9k
Stéphane D. Vincent France 26 2.9k 1.0× 682 0.5× 403 0.5× 317 0.9× 293 1.2× 51 3.6k
Chikara Meno Japan 29 4.6k 1.6× 1.2k 0.9× 439 0.6× 203 0.6× 456 1.9× 44 5.2k
Concepción Rodrı́guez-Esteban United States 24 3.7k 1.3× 1.1k 0.8× 422 0.6× 209 0.6× 352 1.5× 29 4.3k
Jeffrey J. Essner United States 27 2.7k 0.9× 915 0.7× 796 1.1× 181 0.5× 278 1.1× 45 4.0k
J. Murdoch United Kingdom 28 2.4k 0.8× 658 0.5× 775 1.0× 287 0.8× 387 1.6× 54 3.4k

Countries citing papers authored by Sudipto Roy

Since Specialization
Citations

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

Fields of papers citing papers by Sudipto Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudipto Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Sudipto Roy. A scholar is included among the top collaborators of Sudipto Roy 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 Sudipto Roy. Sudipto Roy 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.
Roy, Sudipto, et al.. (2025). Multiciliated cells: Development, functions and disease relevance. Seminars in Cell and Developmental Biology. 175. 103660–103660.
2.
Basu, Aniruddha, Atanu Kumar Dutta, Bhavani Shankara Bagepally, et al.. (2024). Pharmacogenomics-assisted schizophrenia management: A hybrid type 2 effectiveness-implementation study protocol to compare the clinical utility, cost-effectiveness, and barriers. PLoS ONE. 19(4). e0300511–e0300511. 2 indexed citations
3.
Goh, Kim Jee, Hao Lu, Amanda Wong, et al.. (2024). Differentiation of CD166-positive hPSC-derived lung progenitors into airway epithelial cells. Biology Open. 13(10). 3 indexed citations
4.
Luo, Lingfei, Sudipto Roy, Li Li, & Ming Ma. (2023). Polycystic kidney disease: novel insights into polycystin function. Trends in Molecular Medicine. 29(4). 268–281. 22 indexed citations
5.
Gui, Miao, Hannah Farley, Tao Qiu, et al.. (2021). De novo identification of mammalian ciliary motility proteins using cryo-EM. Cell. 184(23). 5791–5806.e19. 89 indexed citations
6.
Xie, Haibo, et al.. (2020). E2f5 is a versatile transcriptional activator required for spermatogenesis and multiciliated cell differentiation in zebrafish. PLoS Genetics. 16(3). e1008655–e1008655. 31 indexed citations
7.
Kumar, Krishna, Kiran Polavarapu, Veeramani Preethish‐Kumar, et al.. (2020). Whole‐exome analyses of congenital muscular dystrophy and congenital myopathy patients from India reveal a wide spectrum of known and novel mutations. European Journal of Neurology. 28(3). 992–1003. 9 indexed citations
8.
Zhou, Feng, Vydianathan Ravi, Yan Ling Chong, et al.. (2020). Conservation as well as divergence in Mcidas function underlies the differentiation of multiciliated cells in vertebrates. Developmental Biology. 465(2). 168–177. 9 indexed citations
9.
10.
Chong, Yan Ling, et al.. (2018). Distinct requirements of E2f4 versus E2f5 activity for multiciliated cell development in the zebrafish embryo. Developmental Biology. 443(2). 165–172. 24 indexed citations
11.
Zhang, Weibin & Sudipto Roy. (2017). Myomaker is required for the fusion of fast-twitch myocytes in the zebrafish embryo. Developmental Biology. 423(1). 24–33. 43 indexed citations
12.
Zhang, Weibin & Sudipto Roy. (2016). The zebrafish fast myosin light chain mylpfa:H2B-GFP transgene is a useful tool for in vivo imaging of myocyte fusion in the vertebrate embryo. Gene Expression Patterns. 20(2). 106–110. 9 indexed citations
13.
Roy, Sudipto, et al.. (2015). Cilia: Organelles at the Heart of Heart Disease. Current Biology. 25(13). R559–R562. 6 indexed citations
14.
Lu, Hao, et al.. (2014). A function for the Joubert syndrome protein Arl13b in ciliary membrane extension and ciliary length regulation. Developmental Biology. 397(2). 225–236. 66 indexed citations
15.
Roy, Sudipto & K VijayRaghavan. (2012). Developmental Biology: Taking Flight. Current Biology. 22(2). R63–R65. 4 indexed citations
16.
Choksi, Semil P., et al.. (2008). Specification of vertebrate slow-twitch muscle fiber fate by the transcriptional regulator Blimp1. Developmental Biology. 324(2). 226–235. 23 indexed citations
17.
Ingham, Philip W., et al.. (2005). A homologue of the Drosophila kinesin-like protein Costal2 regulates Hedgehog signal transduction in the vertebrate embryo. Development. 132(4). 625–634. 75 indexed citations
18.
Roy, Sudipto, et al.. (2004). Blimp-1 Specifies Neural Crest and Sensory Neuron Progenitors in the Zebrafish Embryo. Current Biology. 14(19). 1772–1777. 76 indexed citations
19.
Roy, Sudipto, Tong Qiao, Christian M. Wolff, & Philip W. Ingham. (2001). Hedgehog signaling pathway is essential for pancreas specification in the zebrafish embryo. Current Biology. 11(17). 1358–1363. 88 indexed citations
20.
Roy, Sudipto. (1994). Development of the zebrafish nervous system: Mechanisms of cellfate specification and axonal pathfinding in the central nervous system and periphery. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 2 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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