Wanda E. Filipiak

1.2k total citations · 1 hit paper
11 papers, 906 citations indexed

About

Wanda E. Filipiak is a scholar working on Molecular Biology, Genetics and Nephrology. According to data from OpenAlex, Wanda E. Filipiak has authored 11 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Nephrology. Recurrent topics in Wanda E. Filipiak's work include CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and Animal Genetics and Reproduction (3 papers). Wanda E. Filipiak is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and Animal Genetics and Reproduction (3 papers). Wanda E. Filipiak collaborates with scholars based in United States, France and Czechia. Wanda E. Filipiak's co-authors include Thomas L. Saunders, Lawrence B. Holzman, Silja K. Sanden, Jocelyn Wiggins, Sabiha M. Hussain, Bryan L. Wharram, Kenji Kohno, Roger C. Wiggins, Meera Goyal and Robert C. Dysko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The FASEB Journal and Kidney International.

In The Last Decade

Wanda E. Filipiak

10 papers receiving 897 citations

Hit Papers

Podocyte Depletion Causes Glomerulosclerosis 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanda E. Filipiak United States 8 528 407 234 85 77 11 906
Yutaka Harita Japan 19 455 0.9× 427 1.0× 156 0.7× 124 1.5× 87 1.1× 66 934
Alice Krebsová Czechia 11 235 0.4× 286 0.7× 320 1.4× 49 0.6× 21 0.3× 32 775
Shun-Ai Li Japan 14 242 0.5× 643 1.6× 238 1.0× 59 0.7× 77 1.0× 17 1.0k
Max C. Liebau Germany 20 253 0.5× 872 2.1× 604 2.6× 67 0.8× 42 0.5× 69 1.4k
Naoya Morisada Japan 16 121 0.2× 357 0.9× 186 0.8× 119 1.4× 18 0.2× 62 726
Ilya A. Vinnikov China 12 149 0.3× 414 1.0× 67 0.3× 72 0.8× 109 1.4× 20 986
Ying Maggie Chen United States 13 202 0.4× 205 0.5× 45 0.2× 56 0.7× 71 0.9× 19 541
Daniela A. Braun Germany 16 287 0.5× 711 1.7× 522 2.2× 77 0.9× 31 0.4× 25 1.2k
Gail A. Reif United States 18 213 0.4× 784 1.9× 843 3.6× 97 1.1× 37 0.5× 27 1.2k
Jukka Tienari Finland 14 104 0.2× 333 0.8× 83 0.4× 119 1.4× 48 0.6× 31 595

Countries citing papers authored by Wanda E. Filipiak

Since Specialization
Citations

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

Fields of papers citing papers by Wanda E. Filipiak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wanda E. Filipiak. 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 Wanda E. Filipiak. The network helps show where Wanda E. Filipiak may publish in the future.

Co-authorship network of co-authors of Wanda E. Filipiak

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

All Works

11 of 11 papers shown
1.
Pettibone, Jeffrey R., Jai Y. Yu, Thomas W. Faust, et al.. (2019). Knock-In Rat Lines with Cre Recombinase at the Dopamine D1 and Adenosine 2a Receptor Loci. eNeuro. 6(5). ENEURO.0163–19.2019. 20 indexed citations
2.
Filipiak, Wanda E., et al.. (2019). Next Generation Transgenic Rat Model Production. Methods in molecular biology. 2018. 97–114. 6 indexed citations
3.
Watts, Stephanie W., Emma S. Darios, Adam E. Mullick, et al.. (2018). The chemerin knockout rat reveals chemerin dependence in female, but not male, experimental hypertension. The FASEB Journal. 32(12). 6596–6614. 23 indexed citations
4.
Haller, Steven T., Sivarajan Kumarasamy, Leah M. Wuescher, et al.. (2016). Targeted disruption of Cd40 in a genetically hypertensive rat model attenuates renal fibrosis and proteinuria, independent of blood pressure. Kidney International. 91(2). 365–374. 13 indexed citations
6.
Gopalakrishnan, Kathirvel, Sivarajan Kumarasamy, Shakila Abdul-Majeed, et al.. (2012). Targeted disruption of Adamts16 gene in a rat genetic model of hypertension. Proceedings of the National Academy of Sciences. 109(50). 20555–20559. 57 indexed citations
7.
Zhang, Hongyu, Jharna Saha, Kathleen A. Burke, et al.. (2010). Podocyte-specific overexpression of GLUT1 surprisingly reduces mesangial matrix expansion in diabetic nephropathy in mice. American Journal of Physiology-Renal Physiology. 299(1). F91–F98. 39 indexed citations
8.
Keuren, Margaret L. Van, et al.. (2009). Generating transgenic mice from bacterial artificial chromosomes: transgenesis efficiency, integration and expression outcomes. Transgenic Research. 18(5). 769–785. 95 indexed citations
9.
Swain, Jason E., Jun Ding, Wanda E. Filipiak, & Gary D. Smith. (2009). Aurora Kinase-A Regulates Oocyte Spindle Organization During Early Stages of Meiosis.. Biology of Reproduction. 81(Suppl_1). 29–29.
10.
Filipiak, Wanda E. & Thomas L. Saunders. (2006). Advances in transgenic rat production. Transgenic Research. 15(6). 673–686. 65 indexed citations
11.
Wharram, Bryan L., Meera Goyal, Jocelyn Wiggins, et al.. (2005). Podocyte Depletion Causes Glomerulosclerosis. Journal of the American Society of Nephrology. 16(10). 2941–2952. 586 indexed citations breakdown →

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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