Vida Praitis

1.1k total citations · 1 hit paper
7 papers, 970 citations indexed

About

Vida Praitis is a scholar working on Aging, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Vida Praitis has authored 7 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Aging, 5 papers in Molecular Biology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Vida Praitis's work include Genetics, Aging, and Longevity in Model Organisms (6 papers), CRISPR and Genetic Engineering (3 papers) and Pluripotent Stem Cells Research (2 papers). Vida Praitis is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (6 papers), CRISPR and Genetic Engineering (3 papers) and Pluripotent Stem Cells Research (2 papers). Vida Praitis collaborates with scholars based in United States. Vida Praitis's co-authors include Judith Austin, Elizabeth Casey, David C. Collar, Caroline R. McKeown, Emily J. Ciccone, Morris Maduro, Frank Solomon, Wendy S. Katz, Rachel Weinstein and Jeffrey S. Simske and has published in prestigious journals such as Molecular and Cellular Biology, Development and Genetics.

In The Last Decade

Vida Praitis

7 papers receiving 959 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Creation of Low-Copy Integrated Transgenic Lines in Caenorhabditis elegans

2001 727 citations Vida Praitis, Elizabeth Casey et al. Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vida Praitis United States	7	757	649	259	122	119	7	970
T M Rogalski Canada	17	713 0.9×	697 1.1×	322 1.2×	110 0.9×	90 0.8×	20	1.1k
Sophie Quintin France	15	533 0.7×	660 1.0×	443 1.7×	117 1.0×	98 0.8×	22	1.0k
Masamitsu Fukuyama Japan	11	455 0.6×	418 0.6×	101 0.4×	177 1.5×	90 0.8×	20	723
Mary Kosinski United States	11	692 0.9×	455 0.7×	168 0.6×	175 1.4×	68 0.6×	13	981
N N Cheng Canada	7	536 0.7×	829 1.3×	318 1.2×	72 0.6×	75 0.6×	8	1.3k
Jennifer K. Heppert United States	7	420 0.6×	426 0.7×	141 0.5×	87 0.7×	58 0.5×	13	681
Dustin L. Updike United States	18	558 0.7×	1.1k 1.7×	78 0.3×	86 0.7×	58 0.5×	29	1.3k
Celine Moorman Netherlands	8	408 0.5×	740 1.1×	80 0.3×	86 0.7×	43 0.4×	8	982
David M. Eisenmann United States	22	937 1.2×	1.3k 2.0×	99 0.4×	309 2.5×	112 0.9×	31	1.8k
Sudhir Nayak United States	12	615 0.8×	658 1.0×	63 0.2×	123 1.0×	40 0.3×	19	1.0k

Countries citing papers authored by Vida Praitis

Since Specialization

Citations

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

Fields of papers citing papers by Vida Praitis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vida Praitis

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

All Works

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7 of 7 papers shown

1.

Praitis, Vida, Jeffrey S. Simske, Rebecca Mandt, et al.. (2013). The Secretory Pathway Calcium ATPase PMR-1/SPCA1 Has Essential Roles in Cell Migration during Caenorhabditis elegans Embryonic Development. PLoS Genetics. 9(5). e1003506–e1003506. 14 indexed citations

2.

Praitis, Vida & Morris Maduro. (2011). Transgenesis in C. elegans. Methods in cell biology. 106. 159–185. 19 indexed citations

3.

Praitis, Vida. (2006). Creation of Transgenic Lines Using Microparticle Bombardment Methods. Humana Press eBooks. 93–108. 34 indexed citations

4.

Praitis, Vida, Emily J. Ciccone, & Judith Austin. (2005). SMA-1 spectrin has essential roles in epithelial cell sheet morphogenesis in C. elegans. Developmental Biology. 283(1). 157–170. 44 indexed citations

5.

Praitis, Vida, Elizabeth Casey, David C. Collar, & Judith Austin. (2001). Creation of Low-Copy Integrated Transgenic Lines in Caenorhabditis elegans. Genetics. 157(3). 1217–1226. 727 indexed citations breakdown →

6.

McKeown, Caroline R., Vida Praitis, & Judith Austin. (1998). sma-1 encodes a βH-spectrin homolog required for Caenorhabditis elegans morphogenesis. Development. 125(11). 2087–2098. 123 indexed citations

7.

Praitis, Vida, Wendy S. Katz, & Frank Solomon. (1991). A Codon Change in β-Tubulin Which Drastically Affects Microtubule Structure in Drosophila melanogaster Fails To Produce a Significant Phenotype in Saccharomyces cerevisiae. Molecular and Cellular Biology. 11(9). 4726–4731. 9 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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