Shriparna Sarbajna

1.2k total citations
7 papers, 870 citations indexed

About

Shriparna Sarbajna is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Shriparna Sarbajna has authored 7 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Shriparna Sarbajna's work include DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (3 papers) and Genomics and Chromatin Dynamics (3 papers). Shriparna Sarbajna is often cited by papers focused on DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (3 papers) and Genomics and Chromatin Dynamics (3 papers). Shriparna Sarbajna collaborates with scholars based in United Kingdom. Shriparna Sarbajna's co-authors include Stephen C. West, Joao Matos, Haley D.M. Wyatt, Alec J. Jeffreys, Rita Neumann, Ingrid Berg, Linda Odenthal-Hesse, Derek Davies, Celia A. May and Kwan-Wood Gabriel Lam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Genes & Development.

In The Last Decade

Shriparna Sarbajna

7 papers receiving 867 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shriparna Sarbajna United Kingdom 7 769 256 192 100 95 7 870
Angela K. Deem United States 13 903 1.2× 160 0.6× 206 1.1× 143 1.4× 108 1.1× 15 1.0k
James W. Westmoreland United States 15 674 0.9× 88 0.3× 183 1.0× 70 0.7× 67 0.7× 24 757
Andrew Seeber Switzerland 20 1.2k 1.5× 94 0.4× 166 0.9× 106 1.1× 121 1.3× 23 1.3k
Marie‐Noëlle Prioleau France 19 1.6k 2.1× 219 0.9× 160 0.8× 66 0.7× 89 0.9× 32 1.7k
Kirk T. Ehmsen United States 10 1.1k 1.5× 183 0.7× 151 0.8× 213 2.1× 112 1.2× 13 1.2k
Neeman Mohibullah United States 10 713 0.9× 150 0.6× 123 0.6× 72 0.7× 121 1.3× 12 878
Venugopal Bhaskara Austria 10 1.2k 1.5× 125 0.5× 231 1.2× 166 1.7× 250 2.6× 10 1.3k
Aurèle Piazza France 16 1.3k 1.7× 105 0.4× 175 0.9× 69 0.7× 51 0.5× 25 1.4k
Stephen Gray United Kingdom 9 846 1.1× 110 0.4× 180 0.9× 104 1.0× 160 1.7× 11 911
Marie L. Rossi United States 13 837 1.1× 93 0.4× 132 0.7× 136 1.4× 53 0.6× 15 894

Countries citing papers authored by Shriparna Sarbajna

Since Specialization
Citations

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

Fields of papers citing papers by Shriparna Sarbajna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shriparna Sarbajna

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

All Works

7 of 7 papers shown
1.
West, Stephen C., Miguel G. Blanco, Ying Wai Chan, et al.. (2015). Resolution of Recombination Intermediates: Mechanisms and Regulation. Cold Spring Harbor Symposia on Quantitative Biology. 80. 103–109. 95 indexed citations
2.
Sarbajna, Shriparna & Stephen C. West. (2014). Holliday junction processing enzymes as guardians of genome stability. Trends in Biochemical Sciences. 39(9). 409–419. 80 indexed citations
3.
Sarbajna, Shriparna, Derek Davies, & Stephen C. West. (2014). Roles of SLX1–SLX4, MUS81–EME1, and GEN1 in avoiding genome instability and mitotic catastrophe. Genes & Development. 28(10). 1124–1136. 105 indexed citations
4.
Wyatt, Haley D.M., Shriparna Sarbajna, Joao Matos, & Stephen C. West. (2013). Coordinated Actions of SLX1-SLX4 and MUS81-EME1 for Holliday Junction Resolution in Human Cells. Molecular Cell. 52(2). 234–247. 241 indexed citations
5.
Sarbajna, Shriparna, Matthew Denniff, Alec J. Jeffreys, et al.. (2012). A major recombination hotspot in the XqYq pseudoautosomal region gives new insight into processing of human gene conversion events. Human Molecular Genetics. 21(9). 2029–2038. 25 indexed citations
6.
Berg, Ingrid, Rita Neumann, Shriparna Sarbajna, et al.. (2011). Variants of the protein PRDM9 differentially regulate a set of human meiotic recombination hotspots highly active in African populations. Proceedings of the National Academy of Sciences. 108(30). 12378–12383. 101 indexed citations
7.
Berg, Ingrid, Rita Neumann, Kwan-Wood Gabriel Lam, et al.. (2010). PRDM9 variation strongly influences recombination hot-spot activity and meiotic instability in humans. Nature Genetics. 42(10). 859–863. 223 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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