Malini Varadarajan

2.1k total citations
8 papers, 943 citations indexed

About

Malini Varadarajan is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Malini Varadarajan has authored 8 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Immunology. Recurrent topics in Malini Varadarajan's work include CRISPR and Genetic Engineering (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). Malini Varadarajan is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). Malini Varadarajan collaborates with scholars based in United States, Netherlands and Austria. Malini Varadarajan's co-authors include Thijn R. Brummelkamp, Jan E. Carette, Carla P. Guimarães, Hidde L. Ploegh, Irene Wuethrich, Eric Spooner, Maciej Kotecki, Brent Cochran, Vincent A. Blomen and Jan Pruszak and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Malini Varadarajan

8 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Malini Varadarajan United States	7	736	170	109	108	92	8	943
Noureddine Lazar France	22	914 1.2×	219 1.3×	87 0.8×	94 0.9×	43 0.5×	46	1.2k
Jacqueline Staring Netherlands	5	690 0.9×	152 0.9×	61 0.6×	90 0.8×	155 1.7×	5	973
Chong-Yun Xiao Australia	7	744 1.0×	173 1.0×	96 0.9×	66 0.6×	74 0.8×	9	975
Nicholas Flint Switzerland	11	617 0.8×	188 1.1×	109 1.0×	259 2.4×	176 1.9×	20	1.0k
Tsafi Pe’ery United States	20	779 1.1×	97 0.6×	94 0.9×	148 1.4×	83 0.9×	29	1.1k
Huifang M. Zhang Canada	19	441 0.6×	121 0.7×	74 0.7×	195 1.8×	130 1.4×	27	826
Erik Müllers Sweden	17	448 0.6×	147 0.9×	140 1.3×	115 1.1×	140 1.5×	28	799
Po-Cheng Tang Sweden	7	572 0.8×	322 1.9×	125 1.1×	154 1.4×	226 2.5×	9	1.1k
Andreas J. Hülsmeier Switzerland	18	589 0.8×	76 0.4×	46 0.4×	126 1.2×	177 1.9×	32	961
A.F. Moon United States	21	944 1.3×	179 1.1×	47 0.4×	81 0.8×	48 0.5×	27	1.3k

Countries citing papers authored by Malini Varadarajan

Since Specialization

Citations

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

Fields of papers citing papers by Malini Varadarajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malini Varadarajan

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

All Works

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8 of 8 papers shown

Molony, Ryan D., Gina M. Trabucco, Erik Corcoran, et al.. (2022). CRISPR screening identifies T cell-intrinsic regulators of CD3-bispecific antibody responses. Frontiers in Immunology. 13. 909979–909979. 3 indexed citations

Tsvetkov, Peter, Marc L. Mendillo, Jinghui Zhao, et al.. (2015). Compromising the 19S proteasome complex protects cells from reduced flux through the proteasome. eLife. 4. 59 indexed citations

Reiling, Jan H., Clary B. Clish, Jan E. Carette, et al.. (2011). A haploid genetic screen identifies the major facilitator domain containing 2A (MFSD2A) transporter as a key mediator in the response to tunicamycin. Proceedings of the National Academy of Sciences. 108(29). 11756–11765. 82 indexed citations

Carette, Jan E., Carla P. Guimarães, Irene Wuethrich, et al.. (2011). Global gene disruption in human cells to assign genes to phenotypes by deep sequencing. Nature Biotechnology. 29(6). 542–546. 173 indexed citations

Guimarães, Carla P., Jan E. Carette, Malini Varadarajan, et al.. (2011). Identification of host cell factors required for intoxication through use of modified cholera toxin. The Journal of Cell Biology. 195(5). 751–764. 60 indexed citations

Carette, Jan E., Jan Pruszak, Malini Varadarajan, et al.. (2010). Generation of iPSCs from cultured human malignant cells. Blood. 115(20). 4039–4042. 171 indexed citations

Carette, Jan E., Carla P. Guimarães, Malini Varadarajan, et al.. (2009). Haploid Genetic Screens in Human Cells Identify Host Factors Used by Pathogens. Science. 326(5957). 1231–1235. 389 indexed citations

Chen, Jing, et al.. (2007). Alternative splicing of an rnp-4f mRNA isoform retaining an evolutionarily-conserved 5′-UTR intronic element is developmentally regulated and shown via RNAi to be essential for normal central nervous system development in Drosophila melanogaster. Gene. 399(2). 91–104. 6 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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