Akshay Tambe

599 total citations
5 papers, 426 citations indexed

About

Akshay Tambe is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Akshay Tambe has authored 5 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Virology and 1 paper in Immunology. Recurrent topics in Akshay Tambe's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (2 papers) and RNA and protein synthesis mechanisms (2 papers). Akshay Tambe is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (2 papers) and RNA and protein synthesis mechanisms (2 papers). Akshay Tambe collaborates with scholars based in United States. Akshay Tambe's co-authors include Jennifer A. Doudna, Cameron L. Noland, Catherine P. Schneider, Ross C. Wilson, Mary Anne Kidwell, Alexandra East-Seletsky, Gavin J. Knott, Mitchell R. O’Connell, Kaihong Zhou and Yun Bai and has published in prestigious journals such as Molecular Cell, BMC Bioinformatics and Cell Reports.

In The Last Decade

Akshay Tambe

5 papers receiving 423 citations

Peers

Akshay Tambe
Anna Krueger United States
Akshay Tambe
Citations per year, relative to Akshay Tambe Akshay Tambe (= 1×) peers Anna Krueger

Countries citing papers authored by Akshay Tambe

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Tambe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Tambe

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

All Works

5 of 5 papers shown
1.
Tambe, Akshay & Lior Pachter. (2019). Barcode identification for single cell genomics. BMC Bioinformatics. 20(1). 32–32. 17 indexed citations
2.
Tambe, Akshay, Alexandra East-Seletsky, Gavin J. Knott, Jennifer A. Doudna, & Mitchell R. O’Connell. (2018). RNA Binding and HEPN-Nuclease Activation Are Decoupled in CRISPR-Cas13a. Cell Reports. 24(4). 1025–1036. 111 indexed citations
3.
Li, Bo, Akshay Tambe, Sharon Aviran, & Lior Pachter. (2017). PROBer Provides a General Toolkit for Analyzing Sequencing-Based Toeprinting Assays. Cell Systems. 4(5). 568–574.e7. 14 indexed citations
4.
Wilson, Ross C., Akshay Tambe, Mary Anne Kidwell, et al.. (2014). Dicer-TRBP Complex Formation Ensures Accurate Mammalian MicroRNA Biogenesis. Molecular Cell. 57(3). 397–407. 209 indexed citations
5.
Bai, Yun, Akshay Tambe, Kaihong Zhou, & Jennifer A. Doudna. (2014). RNA-guided assembly of Rev-RRE nuclear export complexes. eLife. 3. e03656–e03656. 75 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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