Lisa Prichard

816 total citations
9 papers, 651 citations indexed

About

Lisa Prichard is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Lisa Prichard has authored 9 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Lisa Prichard's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Liver physiology and pathology (2 papers) and Receptor Mechanisms and Signaling (2 papers). Lisa Prichard is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Liver physiology and pathology (2 papers) and Receptor Mechanisms and Signaling (2 papers). Lisa Prichard collaborates with scholars based in United States, France and Canada. Lisa Prichard's co-authors include Daniel R. Storm, Jean‐Christophe Deloulme, Nelson Fausto, Nobuyoshi Shiojiri, Soren Impey, Zhiliang Wu, Gary A. Wayman, Wayne Kindsvogel, Olivier Delattre and Alyssa Stephenson‐Famy and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and American Journal Of Pathology.

In The Last Decade

Lisa Prichard

9 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa Prichard United States 8 354 173 138 110 107 9 651
E. Friedman United States 12 431 1.2× 152 0.9× 120 0.9× 105 1.0× 59 0.6× 17 748
Junwen Hu China 15 340 1.0× 95 0.5× 45 0.3× 152 1.4× 80 0.7× 41 586
R. Miceli United States 14 485 1.4× 172 1.0× 165 1.2× 106 1.0× 187 1.7× 19 865
Mary Nivison United States 9 302 0.9× 37 0.2× 80 0.6× 59 0.5× 51 0.5× 14 601
Reina Aoki Japan 9 349 1.0× 170 1.0× 54 0.4× 35 0.3× 31 0.3× 17 607
Kazunori Yoshimura Japan 15 270 0.8× 52 0.3× 64 0.5× 42 0.4× 62 0.6× 41 621
David C. Bedford United States 10 464 1.3× 124 0.7× 45 0.3× 47 0.4× 38 0.4× 12 774
Xin Shi China 10 401 1.1× 237 1.4× 105 0.8× 103 0.9× 47 0.4× 34 723
Jian‐Ming Li China 12 369 1.0× 209 1.2× 47 0.3× 166 1.5× 152 1.4× 22 694
James P. Leu United States 7 449 1.3× 49 0.3× 124 0.9× 65 0.6× 29 0.3× 9 657

Countries citing papers authored by Lisa Prichard

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Prichard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Prichard

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

All Works

9 of 9 papers shown
1.
Asai-Coakwell, Mika, Matthew D. Benson, Lisa Prichard, et al.. (2022). BMP3 is a novel locus involved in the causality of ocular coloboma. Human Genetics. 141(8). 1385–1407. 3 indexed citations
2.
Hocking, Jennifer C., et al.. (2013). The role of Zic transcription factors in regulating hindbrain retinoic acid signaling. BMC Developmental Biology. 13(1). 15 indexed citations
3.
Loebinger, Michael R., Adam Giangreco, Karen R. Groot, et al.. (2008). Squamous cell cancers contain a side population of stem-like cells that are made chemosensitive by ABC transporter blockade. British Journal of Cancer. 98(2). 380–387. 88 indexed citations
4.
Campbell, Jean S., Lisa Prichard, Fred Schaper, et al.. (2001). Expression of suppressors of cytokine signaling during liver regeneration. Journal of Clinical Investigation. 107(10). 1285–1292. 131 indexed citations
5.
Prichard, Lisa, et al.. (2000). Prevention of Hepatic Apoptosis and Embryonic Lethality in RelA/TNFR-1 Double Knockout Mice. American Journal Of Pathology. 156(3). 997–1007. 106 indexed citations
6.
Gibson, Robin M., William P. Schiemann, Lisa Prichard, et al.. (2000). Phosphorylation of Human gp130 at Ser-782 Adjacent to the Di-leucine Internalization Motif. Journal of Biological Chemistry. 275(29). 22574–22582. 39 indexed citations
7.
Prichard, Lisa, Jean‐Christophe Deloulme, & Daniel R. Storm. (1999). Interactions between Neurogranin and Calmodulin in Vivo. Journal of Biological Chemistry. 274(12). 7689–7694. 86 indexed citations
8.
Deloulme, Jean‐Christophe, Lisa Prichard, Olivier Delattre, & Daniel R. Storm. (1997). The Prooncoprotein EWS Binds Calmodulin and Is Phosphorylated by Protein Kinase C through an IQ Domain. Journal of Biological Chemistry. 272(43). 27369–27377. 68 indexed citations
9.
Wayman, Gary A., Soren Impey, Zhiliang Wu, et al.. (1994). Synergistic activation of the type I adenylyl cyclase by Ca2+ and Gs-coupled receptors in vivo.. Journal of Biological Chemistry. 269(41). 25400–25405. 115 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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