Preyas Shah

2.7k total citations · 1 hit paper
3 papers, 626 citations indexed

About

Preyas Shah is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Preyas Shah has authored 3 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Genetics. Recurrent topics in Preyas Shah's work include Genomics and Phylogenetic Studies (2 papers), Chromosomal and Genetic Variations (2 papers) and T-cell and B-cell Immunology (1 paper). Preyas Shah is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), Chromosomal and Genetic Variations (2 papers) and T-cell and B-cell Immunology (1 paper). Preyas Shah collaborates with scholars based in United States. Preyas Shah's co-authors include Deanna M. Church, Vijay Kumar, Neil Weisenfeld, David B. Jaffe, Shamoni Maheshwari, Stephen R. Williams, Allen Van Deynze, Kevin Stoffel, Michael C. Schatz and Srividya Ramakrishnan and has published in prestigious journals such as Nature Communications, Genome Research and Horticulture Research.

In The Last Decade

Preyas Shah

3 papers receiving 618 citations

Hit Papers

Direct determination of diploid genome sequences 2017 2026 2020 2023 2017 100 200 300 400 500

Peers

Preyas Shah
Brandon Rice United States
Jessica M. Storer United States
Cheng Sun China
Joel Armstrong United States
Daniel Ence United States
Brandon Rice United States
Preyas Shah
Citations per year, relative to Preyas Shah Preyas Shah (= 1×) peers Brandon Rice

Countries citing papers authored by Preyas Shah

Since Specialization
Citations

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

Fields of papers citing papers by Preyas Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preyas Shah

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

All Works

3 of 3 papers shown
1.
Duren, Zhana, Joseph G. Arthur, Preyas Shah, et al.. (2021). Sc-compReg enables the comparison of gene regulatory networks between conditions using single-cell data. Nature Communications. 12(1). 4763–4763. 21 indexed citations
2.
Hulse‐Kemp, Amanda M., Shamoni Maheshwari, Kevin Stoffel, et al.. (2018). Reference quality assembly of the 3.5-Gb genome of Capsicum annuum from a single linked-read library. Horticulture Research. 5(1). 4–4. 99 indexed citations
3.
Weisenfeld, Neil, Vijay Kumar, Preyas Shah, Deanna M. Church, & David B. Jaffe. (2017). Direct determination of diploid genome sequences. Genome Research. 27(5). 757–767. 506 indexed citations breakdown →

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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