Tanvi Sinha

26 total papers · 691 total citations
16 papers, 404 citations indexed

About

Tanvi Sinha is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Tanvi Sinha has authored 16 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Cell Biology. Recurrent topics in Tanvi Sinha's work include Congenital heart defects research (10 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Tanvi Sinha is often cited by papers focused on Congenital heart defects research (10 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Tanvi Sinha collaborates with scholars based in United States, India and Canada. Tanvi Sinha's co-authors include Jianbo Wang, Brian L. Black, Kai Jiao, Rosa Serra, Anthony Wynshaw‐Boris, Sylvia Μ. Evans, Ralston M. Barnes, Stefan C. Materna, Kelly Lammerts van Bueren and Terry P. Yamaguchi and has published in prestigious journals such as Genes & Development, Circulation Research and Development.

In The Last Decade

Tanvi Sinha

15 papers receiving 402 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tanvi Sinha 355 64 61 60 60 16 404
Sophie Colombo 303 0.9× 43 0.7× 63 1.0× 31 0.5× 40 0.7× 17 408
Shoji Tane 354 1.0× 61 1.0× 38 0.6× 65 1.1× 36 0.6× 13 413
Rosa Ferrentino 347 1.0× 109 1.7× 83 1.4× 59 1.0× 39 0.7× 16 435
Brynn N. Akerberg 397 1.1× 35 0.5× 64 1.0× 66 1.1× 45 0.8× 11 470
Troy Camarata 304 0.9× 53 0.8× 30 0.5× 20 0.3× 31 0.5× 20 422
Samuel B. Sondalle 401 1.1× 51 0.8× 73 1.2× 22 0.4× 36 0.6× 10 457
Xin-Xin I. Zeng 230 0.6× 25 0.4× 56 0.9× 139 2.3× 26 0.4× 17 374
Marina Leone 363 1.0× 37 0.6× 55 0.9× 120 2.0× 22 0.4× 12 435
Pascal J. Lafontant 299 0.8× 36 0.6× 75 1.2× 36 0.6× 38 0.6× 16 404
Xuesong Yang 340 1.0× 61 1.0× 33 0.5× 46 0.8× 35 0.6× 19 477

Countries citing papers authored by Tanvi Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Tanvi Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanvi Sinha

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

All Works

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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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