Swati Ranade

3.8k total citations · 1 hit paper
22 papers, 2.0k citations indexed

About

Swati Ranade is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Swati Ranade has authored 22 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Plant Science. Recurrent topics in Swati Ranade's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Neurobiology and Insect Physiology Research (4 papers). Swati Ranade is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Neurobiology and Insect Physiology Research (4 papers). Swati Ranade collaborates with scholars based in United States, United Kingdom and Australia. Swati Ranade's co-authors include Kevin McKernan, Heather E. Peckham, Francesca Pignoni, Anita L Steptoe, Graeme Bethel, Shivangi Wani, Darrin F. Taylor, Andrew C. Perkins, Clarence Lee and Stephen J. Bruce and has published in prestigious journals such as PLoS ONE, Development and Nature Methods.

In The Last Decade

Swati Ranade

22 papers receiving 2.0k citations

Hit Papers

Stem cell transcriptome profiling via massive-scale mRNA ... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swati Ranade United States 14 1.6k 344 326 272 205 22 2.0k
Enrique Blanco Spain 26 1.9k 1.2× 434 1.3× 391 1.2× 158 0.6× 157 0.8× 55 2.4k
Shaun Mahony United States 27 2.2k 1.4× 302 0.9× 355 1.1× 172 0.6× 202 1.0× 63 2.6k
Nicolás Bellora Argentina 20 1.4k 0.9× 361 1.0× 213 0.7× 178 0.7× 115 0.6× 42 1.9k
Yavuz Ariyürek Netherlands 25 1.8k 1.2× 380 1.1× 530 1.6× 346 1.3× 121 0.6× 40 2.5k
Yong E. Zhang China 23 1.6k 1.0× 487 1.4× 553 1.7× 446 1.6× 95 0.5× 71 2.1k
Andrew Wu United Kingdom 5 1.3k 0.9× 395 1.1× 331 1.0× 96 0.4× 102 0.5× 5 1.7k
Guruprasad Ananda United States 17 1.1k 0.7× 234 0.7× 354 1.1× 242 0.9× 113 0.6× 30 1.8k
Toshinori Endo Japan 16 997 0.6× 200 0.6× 257 0.8× 148 0.5× 128 0.6× 42 1.6k
Elizabeth Nickerson United States 10 1.3k 0.9× 338 1.0× 454 1.4× 131 0.5× 126 0.6× 13 1.9k
Mark Dubnick United States 8 1.9k 1.2× 455 1.3× 453 1.4× 142 0.5× 155 0.8× 10 2.4k

Countries citing papers authored by Swati Ranade

Since Specialization
Citations

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

Fields of papers citing papers by Swati Ranade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Ranade

This figure shows the co-authorship network connecting the top 25 collaborators of Swati Ranade. A scholar is included among the top collaborators of Swati Ranade 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 Swati Ranade. Swati Ranade 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.
Ranade, Swati, Rhonda G. Pace, Judith A. Voynow, et al.. (2020). Genome Reference and Sequence Variation in the Large Repetitive Central Exon of Human MUC5AC. UNC Libraries. 1 indexed citations
3.
Roe, David, Cynthia Vierra‐Green, Kevin Eng, et al.. (2017). Revealing complete complex KIR haplotypes phased by long-read sequencing technology. Genes and Immunity. 18(3). 127–134. 48 indexed citations
4.
Mayor, Neema P., James Robinson, Alasdair McWhinnie, et al.. (2015). HLA Typing for the Next Generation. PLoS ONE. 10(5). e0127153–e0127153. 116 indexed citations
5.
Suzuki, Shingo, Brett Bowman, Yuki Ozaki, et al.. (2015). LBP04. Human Immunology. 76(4). 214–214. 1 indexed citations
6.
Huddleston, John, Swati Ranade, Maika Malig, et al.. (2014). Reconstructing complex regions of genomes using long-read sequencing technology. Genome Research. 24(4). 688–696. 179 indexed citations
7.
Pyo, Chul‐Woo, Cynthia Vierra‐Green, Kevin Eng, et al.. (2014). OR05. Human Immunology. 75. 5–5. 1 indexed citations
8.
Zheng, Shuo, Hong Dang, Rhonda G. Pace, et al.. (2013). Genome Reference and Sequence Variation in the Large Repetitive Central Exon of Human MUC5AC. American Journal of Respiratory Cell and Molecular Biology. 50(1). 223–232. 31 indexed citations
9.
Lind, Curt, Kate Mackiewicz, Jamie L. Duke, et al.. (2012). 137-P. Human Immunology. 73. 135–135. 2 indexed citations
11.
MacCallum, Iain, Dariusz Przybylski, Sante Gnerre, et al.. (2009). ALLPATHS 2: small genomes assembled accurately and with high continuity from short paired reads. Genome biology. 10(10). R103–R103. 114 indexed citations
12.
Antipova, Alena A, Tanya Sokolsky, Christopher R. Clouser, et al.. (2009). Polymorphism discovery in high-throughput resequenced microarray-enriched human genomic loci.. PubMed. 20(5). 253–7. 2 indexed citations
13.
Valouev, Anton, Jeffrey K. Ichikawa, Jeremy Stuart, et al.. (2008). A high-resolution, nucleosome position map of C. elegans reveals a lack of universal sequence-dictated positioning. Genome Research. 18(7). 1051–1063. 413 indexed citations
14.
Cloonan, Nicole, Alistair R. R. Forrest, Gabriel Kolle, et al.. (2008). Stem cell transcriptome profiling via massive-scale mRNA sequencing. Nature Methods. 5(7). 613–619. 756 indexed citations breakdown →
15.
Ranade, Swati, Donghui Yang‐Zhou, Sek Won Kong, et al.. (2008). Analysis of the Otd-dependent transcriptome supports the evolutionary conservation of CRX/OTX/OTD functions in flies and vertebrates. Developmental Biology. 315(2). 521–534. 32 indexed citations
16.
Zhang, Tianyi, et al.. (2006). Direct control of neurogenesis by selector factors in the fly eye:regulation ofatonalby Ey and So. Development. 133(24). 4881–4889. 82 indexed citations
17.
Kenyon, Kristy L., Donghui Yang‐Zhou, Susan H Tran, et al.. (2005). Partner specificity is essential for proper function of the SIX-type homeodomain proteins Sine oculis and Optix during fly eye development. Developmental Biology. 286(1). 158–168. 35 indexed citations
18.
Lee, Yu Sang, Andrea Cortese Hassett, Jung‐Jin Kim, et al.. (2004). von Willebrand's disease and psychotic disorders: co‐segregation and genetic associations. Bipolar Disorders. 6(2). 150–155. 3 indexed citations
19.
Kenyon, Kristy L., Swati Ranade, Jennifer Curtiss, Marek Mlodzik, & Francesca Pignoni. (2003). Coordinating Proliferation and Tissue Specification to Promote Regional Identity in the Drosophila Head. Developmental Cell. 5(3). 403–414. 126 indexed citations
20.
Ranade, Swati, Hader Mansour, Joel Wood, et al.. (2003). Linkage and association between serotonin 2A receptor gene polymorphisms and bipolar I disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 121B(1). 28–34. 29 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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