Vikas Trivedi

1.4k total citations
28 papers, 833 citations indexed

About

Vikas Trivedi is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Vikas Trivedi has authored 28 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Cell Biology and 7 papers in Biomedical Engineering. Recurrent topics in Vikas Trivedi's work include Pluripotent Stem Cells Research (10 papers), 3D Printing in Biomedical Research (6 papers) and Cellular Mechanics and Interactions (5 papers). Vikas Trivedi is often cited by papers focused on Pluripotent Stem Cells Research (10 papers), 3D Printing in Biomedical Research (6 papers) and Cellular Mechanics and Interactions (5 papers). Vikas Trivedi collaborates with scholars based in Spain, United States and Germany. Vikas Trivedi's co-authors include Scott E. Fraser, Pierre‐François Lenne, Nicola Gritti, Le A. Trinh, Kerim Anlaş, David A. Turner, Benjamin Steventon, Miki Ebisuya, Marina Sanaki-Matsumiya and Francesco Cutrale and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Vikas Trivedi

26 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikas Trivedi Spain 14 546 246 181 140 84 28 833
Mary E. Dickinson United States 8 534 1.0× 201 0.8× 222 1.2× 213 1.5× 104 1.2× 8 824
Léo Guignard United States 8 570 1.0× 143 0.6× 164 0.9× 204 1.5× 53 0.6× 12 782
Kailin R. Mesa United States 14 617 1.1× 122 0.5× 381 2.1× 74 0.5× 68 0.8× 15 1.3k
Ronit Yelin Israel 16 736 1.3× 204 0.8× 115 0.6× 108 0.8× 53 0.6× 25 1.1k
Colin Gray United Kingdom 18 701 1.3× 154 0.6× 238 1.3× 56 0.4× 70 0.8× 32 1.1k
Matt Thomson United States 14 793 1.5× 106 0.4× 71 0.4× 57 0.4× 61 0.7× 30 998
Tsuyoshi Hirashima Japan 17 352 0.6× 191 0.8× 358 2.0× 46 0.3× 161 1.9× 61 1.1k
Anan Ragab United Kingdom 14 682 1.2× 109 0.4× 428 2.4× 51 0.4× 71 0.8× 15 1.3k
Brian Burkel United States 13 403 0.7× 150 0.6× 488 2.7× 97 0.7× 32 0.4× 26 956
Katherine W. Rogers United States 13 1.1k 2.0× 151 0.6× 430 2.4× 71 0.5× 59 0.7× 22 1.4k

Countries citing papers authored by Vikas Trivedi

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Trivedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Trivedi

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Trivedi. A scholar is included among the top collaborators of Vikas Trivedi 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 Vikas Trivedi. Vikas Trivedi 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.
Anlaş, Kerim, Nicola Gritti, Fumio Nakaki, et al.. (2024). Early autonomous patterning of the anteroposterior axis in gastruloids. Development. 151(22). 6 indexed citations
2.
Schröter, Christian, et al.. (2023). Local cellular interactions during the self-organization of stem cells. Current Opinion in Cell Biology. 85. 102261–102261.
3.
Lázaro, Jorge, Maria Costanzo, Marina Sanaki-Matsumiya, et al.. (2023). A stem cell zoo uncovers intracellular scaling of developmental tempo across mammals. Cell stem cell. 30(7). 938–949.e7. 46 indexed citations
4.
Trivedi, Vikas, et al.. (2023). Mapping morphogenesis and mechanics in embryo models. Nature Methods. 20(12). 1859–1862. 2 indexed citations
5.
Oriola, David, et al.. (2023). Single-cell Bayesian deconvolution. iScience. 26(10). 107941–107941.
6.
Sanaki-Matsumiya, Marina, Mitsuhiro Matsuda, Nicola Gritti, et al.. (2022). Periodic formation of epithelial somites from human pluripotent stem cells. Nature Communications. 13(1). 2325–2325. 86 indexed citations
7.
Lenne, Pierre‐François & Vikas Trivedi. (2022). Sculpting tissues by phase transitions. Nature Communications. 13(1). 664–664. 58 indexed citations
8.
Trivedi, Vikas, et al.. (2022). Understanding the interplay of membrane trafficking, cell surface mechanics, and stem cell differentiation. Seminars in Cell and Developmental Biology. 133. 123–134. 5 indexed citations
9.
Hlawitschka, Mario, Kerim Anlaş, Vikas Trivedi, et al.. (2021). linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser. PLoS Computational Biology. 17(11). e1009503–e1009503. 1 indexed citations
10.
Gritti, Nicola, David Oriola, & Vikas Trivedi. (2020). Rethinking embryology in vitro: A synergy between engineering, data science and theory. Developmental Biology. 474. 48–61. 13 indexed citations
11.
Anlaş, Kerim, et al.. (2020). Gastruloids: Embryonic Organoids from Mouse Embryonic Stem Cells to Study Patterning and Development in Early Mammalian Embryos. Methods in molecular biology. 2258. 131–147. 13 indexed citations
12.
Fulton, Timothy, Vikas Trivedi, Kerim Anlaş, et al.. (2020). Axis Specification in Zebrafish Is Robust to Cell Mixing and Reveals a Regulation of Pattern Formation by Morphogenesis. Current Biology. 30(15). 2984–2994.e3. 43 indexed citations
13.
Trivedi, Vikas, et al.. (2020). Axis Specification in Zebrafish Is Robust to Cell Mixing and Reveals a Regulation of Pattern Formation by Morphogenesis. Current Biology. 30(15). 3063–3064. 10 indexed citations
14.
Trivedi, Vikas, Harry M. T. Choi, Scott E. Fraser, & Niles A. Pierce. (2018). Multidimensional quantitative analysis of mRNA expression within intact vertebrate embryos. Development. 145(1). 48 indexed citations
15.
Turner, David A., Mustafa Gırgın, Vikas Trivedi, et al.. (2017). Anteroposterior polarity and elongation in the absence of extraembryonic tissues and spatially localised signalling in Gastruloids , mammalian embryonic organoids. Development. 144(21). 3894–3906. 161 indexed citations
16.
Cutrale, Francesco, Vikas Trivedi, Le A. Trinh, et al.. (2017). Hyperspectral phasor analysis enables multiplexed 5D in vivo imaging. Nature Methods. 14(2). 149–152. 109 indexed citations
17.
Ruf-Zamojski, Frederique, Vikas Trivedi, Scott E. Fraser, & Le A. Trinh. (2015). Spatio-Temporal Differences in Dystrophin Dynamics at mRNA and Protein Levels Revealed by a Novel FlipTrap Line. PLoS ONE. 10(6). e0128944–e0128944. 12 indexed citations
18.
Li, Yuwei, Vikas Trivedi, Thai V. Truong, et al.. (2015). Dynamic imaging of the growth plate cartilage reveals multiple contributors to skeletal morphogenesis. Nature Communications. 6(1). 6798–6798. 43 indexed citations
19.
Truong, Thai V., Vikas Trivedi, Le A. Trinh, et al.. (2014). Live 4D Imaging of the Embryonic Vertebrate Heart with Two-Photon Light Sheet Microscopy and Simultaneous Optical Phase Stamping. Biophysical Journal. 106(2). 435a–436a. 1 indexed citations
20.
Rosenthal, Adam, Xinning Zhang, Simon Lucey, et al.. (2013). Localizing transcripts to single cells suggests an important role of uncultured deltaproteobacteria in the termite gut hydrogen economy. Proceedings of the National Academy of Sciences. 110(40). 16163–16168. 25 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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