Swathi Arur

2.5k total citations
44 papers, 1.7k citations indexed

About

Swathi Arur is a scholar working on Molecular Biology, Aging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Swathi Arur has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 27 papers in Aging and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Swathi Arur's work include Genetics, Aging, and Longevity in Model Organisms (27 papers), Reproductive Biology and Fertility (13 papers) and Pluripotent Stem Cells Research (6 papers). Swathi Arur is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (27 papers), Reproductive Biology and Fertility (13 papers) and Pluripotent Stem Cells Research (6 papers). Swathi Arur collaborates with scholars based in United States, Czechia and United Kingdom. Swathi Arur's co-authors include Debabrata Das, Tim Schedl, Ann E. Cowan, William A. Mohler, Karim Rezaul, Victoria Scranton, Michael C. Fong, David K. Han, Sudhir Nayak and Anne M. Villeneuve and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Swathi Arur

43 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swathi Arur United States 17 1.1k 760 244 241 182 44 1.7k
Krisztina Takács‐Vellai Hungary 20 1.1k 1.0× 1.1k 1.4× 76 0.3× 98 0.4× 284 1.6× 38 2.2k
Barbara Conradt Germany 32 2.6k 2.4× 1.5k 1.9× 147 0.6× 266 1.1× 274 1.5× 72 3.6k
Amy K. Walker United States 19 1.1k 1.0× 536 0.7× 45 0.2× 108 0.4× 134 0.7× 29 1.6k
Lutz Kockel United States 13 808 0.7× 395 0.5× 55 0.2× 378 1.6× 121 0.7× 15 1.5k
Michael O. Hengartner United States 15 2.7k 2.5× 772 1.0× 135 0.6× 703 2.9× 115 0.6× 19 3.4k
Jason Karpac United States 17 684 0.6× 522 0.7× 78 0.3× 713 3.0× 99 0.5× 26 1.7k
Chonglin Yang China 24 1.3k 1.2× 369 0.5× 56 0.2× 271 1.1× 87 0.5× 51 2.2k
Judith L. Yanowitz United States 21 996 0.9× 470 0.6× 93 0.4× 40 0.2× 81 0.4× 44 1.3k
Mary C. Abraham United States 9 693 0.6× 361 0.5× 78 0.3× 89 0.4× 64 0.4× 10 1.0k
Ichiro Kawasaki South Korea 18 1.1k 1.0× 754 1.0× 193 0.8× 26 0.1× 109 0.6× 46 1.5k

Countries citing papers authored by Swathi Arur

Since Specialization
Citations

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

Fields of papers citing papers by Swathi Arur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swathi Arur

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

All Works

20 of 20 papers shown
1.
Özpolat, B. Duygu, Swathi Arur, & Mansi Srivastava. (2025). A case for broadening our view of mechanism in developmental biology. Development. 152(2). 1 indexed citations
2.
Das, Debabrata, et al.. (2025). ERK activation dynamics in maturing oocyte controls embryonic nuclear divisions in Caenorhabditis elegans. Cell Reports. 44(1). 115157–115157. 1 indexed citations
3.
Arur, Swathi, et al.. (2025). RAS/ERK signaling and PLK1: Coordinating developmental regulation and disease mechanisms. Current Opinion in Cell Biology. 95. 102544–102544.
4.
Kundu, Samrat T., et al.. (2023). Phosphorylated nuclear DICER1 promotes open chromatin state and lineage plasticity of AT2 tumor cells in lung adenocarcinomas. Science Advances. 9(30). eadf6210–eadf6210. 4 indexed citations
5.
Woglar, Alexander, et al.. (2022). Robust designation of meiotic crossover sites by CDK-2 through phosphorylation of the MutSγ complex. Proceedings of the National Academy of Sciences. 119(21). e2117865119–e2117865119. 18 indexed citations
6.
Pant, Vinod, Amanda R. Wasylishen, B.J. Rimel, et al.. (2019). Dicer1 Phosphomimetic Promotes Tumor Progression and Dissemination. Cancer Research. 79(10). 2662–2668. 12 indexed citations
7.
Tackett, Michael, et al.. (2018). Functional genomic analysis identifies miRNA repertoire regulating C. elegans oocyte development. Nature Communications. 9(1). 5318–5318. 16 indexed citations
8.
Arur, Swathi. (2017). Signaling-mediated control of cell division : from oogenesis to oocyte-to-embryo development. Springer eBooks. 1 indexed citations
9.
Burton, Nick, Tokiko Furuta, Amy K. Webster, et al.. (2017). Insulin-like signalling to the maternal germline controls progeny response to osmotic stress. Nature Cell Biology. 19(3). 252–257. 45 indexed citations
10.
Arur, Swathi. (2017). Signaling-Mediated Regulation of Meiotic Prophase I and Transition During Oogenesis. Results and problems in cell differentiation. 59. 101–123. 14 indexed citations
11.
Das, Debabrata & Swathi Arur. (2017). Conserved insulin signaling in the regulation of oocyte growth, development, and maturation. Molecular Reproduction and Development. 84(6). 444–459. 133 indexed citations
12.
Arur, Swathi, et al.. (2016). Spatial and Temporal Analysis of Active ERK in the <em>C. elegans</em> Germline. Journal of Visualized Experiments. 14 indexed citations
13.
Mattingly, Henry H., et al.. (2015). A Transport Model for Estimating the Time Course of ERK Activation in the C. elegans Germline. Biophysical Journal. 109(11). 2436–2445. 7 indexed citations
14.
Furuta, Tokiko, Kin Man Suen, Gabriel González, et al.. (2014). A Requirement for ERK-Dependent Dicer Phosphorylation in Coordinating Oocyte-to-Embryo Transition in C. elegans. Developmental Cell. 31(5). 614–628. 57 indexed citations
15.
Lopez, Andrew L., et al.. (2013). DAF-2 and ERK Couple Nutrient Availability to Meiotic Progression during Caenorhabditis elegans Oogenesis. Developmental Cell. 27(2). 227–240. 62 indexed citations
16.
Putty, Kalyani, Sarah A. Marcus, Peer R. E. Mittl, et al.. (2013). Robustness of Helicobacter pylori Infection Conferred by Context-Variable Redundancy among Cysteine-Rich Paralogs. PLoS ONE. 8(3). e59560–e59560. 7 indexed citations
17.
Green, Rebecca A., Anjon Audhya, Swathi Arur, et al.. (2011). A High-Resolution C. elegans Essential Gene Network Based on Phenotypic Profiling of a Complex Tissue. Cell. 145(3). 470–482. 170 indexed citations
18.
Arur, Swathi, et al.. (2011). MPK-1 ERK Controls Membrane Organization in C. elegans Oogenesis via a Sex-Determination Module. Developmental Cell. 20(5). 677–688. 53 indexed citations
19.
Hadwiger, Gayla, et al.. (2010). A Monoclonal Antibody Toolkit for C. elegans. PLoS ONE. 5(4). e10161–e10161. 80 indexed citations
20.
Arur, Swathi, et al.. (2009). Multiple ERK substrates execute single biological processes in Caenorhabditis elegans germ-line development. Proceedings of the National Academy of Sciences. 106(12). 4776–4781. 104 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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