Mukul Tewary

661 total citations
12 papers, 378 citations indexed

About

Mukul Tewary is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Mukul Tewary has authored 12 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Cell Biology. Recurrent topics in Mukul Tewary's work include Pluripotent Stem Cells Research (8 papers), 3D Printing in Biomedical Research (5 papers) and Single-cell and spatial transcriptomics (4 papers). Mukul Tewary is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), 3D Printing in Biomedical Research (5 papers) and Single-cell and spatial transcriptomics (4 papers). Mukul Tewary collaborates with scholars based in Canada, United Kingdom and United States. Mukul Tewary's co-authors include Peter W. Zandstra, Nika Shakiba, Joel Östblom, Laura Prochazka, Teresa Zulueta-Coarasa, Rodrigo Fernández‐González, Alice Vickers, Fiona M. Watt, Stephen J. Clark and Florian Hollfelder and has published in prestigious journals such as Nature, Nature Communications and Nature Reviews Genetics.

In The Last Decade

Mukul Tewary

12 papers receiving 377 citations

Peers

Mukul Tewary
Christos Kyprianou United Kingdom
Antonia Weberling United Kingdom
Andra Nica Canada
Nian Shen Germany
Su‐Jung Mah South Korea
Theresa M. Curtis United States
Christos Kyprianou United Kingdom
Mukul Tewary
Citations per year, relative to Mukul Tewary Mukul Tewary (= 1×) peers Christos Kyprianou

Countries citing papers authored by Mukul Tewary

Since Specialization
Citations

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

Fields of papers citing papers by Mukul Tewary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukul Tewary

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

All Works

12 of 12 papers shown
1.
Penfold, Christopher A., Charis Drummer, Stephen J. Clark, et al.. (2022). Spatial profiling of early primate gastrulation in utero. Nature. 609(7925). 136–143. 68 indexed citations
2.
Sipilä, Kalle, Emanuel Rognoni, Johanna Jokinen, et al.. (2022). Embigin is a fibronectin receptor that affects sebaceous gland differentiation and metabolism. Developmental Cell. 57(12). 1453–1465.e7. 11 indexed citations
3.
Tewary, Mukul, Christina Philippeos, Victor Augusti Negri, et al.. (2022). A reductionist approach to determine the effect of cell-cell contact on human epidermal stem cell differentiation. Acta Biomaterialia. 150. 265–276. 7 indexed citations
4.
Kaul, Himanshu, Ross D. Jones, Mukul Tewary, et al.. (2022). Virtual cells in a virtual microenvironment recapitulate early development-like patterns in human pluripotent stem cell colonies. Stem Cell Reports. 18(1). 377–393. 12 indexed citations
5.
Tewary, Mukul, Alexander Keller, Laurentijn Tilleman, et al.. (2021). Endogenous suppression of WNT signalling in human embryonic stem cells leads to low differentiation propensity towards definitive endoderm. Scientific Reports. 11(1). 6137–6137. 7 indexed citations
6.
Vickers, Alice, Mukul Tewary, Anna Laddach, et al.. (2021). Plating human iPSC lines on micropatterned substrates reveals role for ITGB1 nsSNV in endoderm formation. Stem Cell Reports. 16(11). 2628–2641. 7 indexed citations
7.
Östblom, Joel, et al.. (2019). Context-explorer: Analysis of spatially organized protein expression in high-throughput screens. PLoS Computational Biology. 15(1). e1006384–e1006384. 8 indexed citations
8.
Tewary, Mukul, Joel Östblom, Laura Prochazka, et al.. (2019). High-throughput micropatterning platform reveals Nodal-dependent bisection of peri-gastrulation–associated versus preneurulation-associated fate patterning. PLoS Biology. 17(10). e3000081–e3000081. 30 indexed citations
9.
Vigilante, Alessandra, Anna Laddach, Nathalie Moens, et al.. (2019). Identifying Extrinsic versus Intrinsic Drivers of Variation in Cell Behavior in Human iPSC Lines from Healthy Donors. Cell Reports. 26(8). 2078–2087.e3. 27 indexed citations
10.
Tewary, Mukul, Nika Shakiba, & Peter W. Zandstra. (2018). Stem cell bioengineering: building from stem cell biology. Nature Reviews Genetics. 19(10). 595–614. 65 indexed citations
11.
Brauer, Patrick M., et al.. (2017). Engineering the haemogenic niche mitigates endogenous inhibitory signals and controls pluripotent stem cell-derived blood emergence. Nature Communications. 8(1). 15380–15380. 20 indexed citations
12.
Tewary, Mukul, Joel Östblom, Laura Prochazka, et al.. (2017). A stepwise model of Reaction-Diffusion and Positional-Information governs self-organized human peri-gastrulation-like patterning. Development. 144(23). 4298–4312. 116 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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