Stephen C. Parnell

1.0k total citations
18 papers, 804 citations indexed

About

Stephen C. Parnell is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Stephen C. Parnell has authored 18 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 10 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Stephen C. Parnell's work include Genetic and Kidney Cyst Diseases (13 papers), Biomedical Research and Pathophysiology (6 papers) and Fungal and yeast genetics research (5 papers). Stephen C. Parnell is often cited by papers focused on Genetic and Kidney Cyst Diseases (13 papers), Biomedical Research and Pathophysiology (6 papers) and Fungal and yeast genetics research (5 papers). Stephen C. Parnell collaborates with scholars based in United States, France and Austria. Stephen C. Parnell's co-authors include James P. Calvet, Robin L. Maser, Brenda S. Magenheimer, Henrik Dohlman, Carolyn A. Rankin, Abdelkrim Smine, Anna‐Maria Frischauf, Christopher A. Zien, Nan Hao and Darren P. Wallace and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Stephen C. Parnell

18 papers receiving 801 citations

Peers

Stephen C. Parnell

GENET

PFM

Thanh C. Le United States

Sorin V. Fedeles United States

Maoqing Wu China

Anna Caciotti Italy

Mary Grace Lin United States

Yona Eli Israel

Mitsuho Sasaki Japan

Yusuke Takahashi Japan

Yury A. Barbitoff Russia

Jaroslav Kalous Czechia

Thanh C. Le United States

Stephen C. Parnell

426 ×0.7

442 ×0.9

GENET

136 ×0.6

PFM

51 ×0.4

21 ×0.4

Citations per year, relative to Stephen C. Parnell Stephen C. Parnell (= 1×) peers Thanh C. Le

Countries citing papers authored by Stephen C. Parnell

Since Specialization

Citations

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

Fields of papers citing papers by Stephen C. Parnell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen C. Parnell. 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 Stephen C. Parnell. The network helps show where Stephen C. Parnell may publish in the future.

Co-authorship network of co-authors of Stephen C. Parnell

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

All Works

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18 of 18 papers shown

Parnell, Stephen C., Archana Raman, Yan Zhang, et al.. (2022). Expression of active B-Raf proto-oncogene in kidney collecting ducts induces cyst formation in normal mice and accelerates cyst growth in mice with polycystic kidney disease. Kidney International. 102(5). 1103–1114. 4 indexed citations

Maser, Robin L., James P. Calvet, & Stephen C. Parnell. (2022). The GPCR properties of polycystin-1- A new paradigm. Frontiers in Molecular Biosciences. 9. 1035507–1035507. 9 indexed citations

Zhang, Shiqin, Feng Qian, James C. Williams, et al.. (2022). Kidney stone formation in a novel murine model of polycystic kidney disease. American Journal of Physiology-Renal Physiology. 323(1). F59–F68. 3 indexed citations

Lea, Wendy, Kerri McGreal, Madhulika Sharma, et al.. (2020). Analysis of the polycystin complex (PCC) in human urinary exosome–like vesicles (ELVs). Scientific Reports. 10(1). 1500–1500. 17 indexed citations

Lea, Wendy, Stephen C. Parnell, Darren P. Wallace, et al.. (2018). Human-Specific Abnormal Alternative Splicing of Wild-Type PKD1 Induces Premature Termination of Polycystin-1. Journal of the American Society of Nephrology. 29(10). 2482–2492. 13 indexed citations

Raman, Archana, Stephen C. Parnell, Yan Zhang, et al.. (2018). Periostin overexpression in collecting ducts accelerates renal cyst growth and fibrosis in polycystic kidney disease. American Journal of Physiology-Renal Physiology. 315(6). F1695–F1707. 23 indexed citations

Parnell, Stephen C., Brenda S. Magenheimer, Robin L. Maser, et al.. (2018). A mutation affecting polycystin-1 mediated heterotrimeric G-protein signaling causes PKD. Human Molecular Genetics. 27(19). 3313–3324. 30 indexed citations

Raman, Archana, Gail A. Reif, Xiaogang Li, et al.. (2017). Integrin-Linked Kinase Signaling Promotes Cyst Growth and Fibrosis in Polycystic Kidney Disease. Journal of the American Society of Nephrology. 28(9). 2708–2719. 34 indexed citations

Wallace, Darren P., Gail A. Reif, Cibele S. Pinto, et al.. (2013). Periostin promotes renal cyst growth and interstitial fibrosis in polycystic kidney disease. Kidney International. 85(4). 845–854. 47 indexed citations

10.

Hao, Nan, Necmettin Yıldırım, Michal J. Nagiec, et al.. (2012). Combined computational and experimental analysis reveals mitogen-activated protein kinase–mediated feedback phosphorylation as a mechanism for signaling specificity. Molecular Biology of the Cell. 23(19). 3899–3910. 18 indexed citations

11.

Parnell, Stephen C., Sanjeev Puri, Darren P. Wallace, & James P. Calvet. (2012). Protein Phosphatase-1α Interacts with and Dephosphorylates Polycystin-1. PLoS ONE. 7(6). e36798–e36798. 14 indexed citations

12.

Parnell, Stephen C., et al.. (2007). The RACK1 Ortholog Asc1 Functions as a G-protein β Subunit Coupled to Glucose Responsiveness in Yeast. Journal of Biological Chemistry. 282(34). 25168–25176. 80 indexed citations

13.

Hao, Nan, Marcelo Behar, Stephen C. Parnell, et al.. (2007). A Systems-Biology Analysis of Feedback Inhibition in the Sho1 Osmotic-Stress-Response Pathway. Current Biology. 17(8). 659–667. 87 indexed citations

14.

Chasse, Scott, Paul L. Flanary, Stephen C. Parnell, et al.. (2006). Genome-Scale Analysis Reveals Sst2 as the Principal Regulator of Mating Pheromone Signaling in the Yeast Saccharomyces cerevisiae. Eukaryotic Cell. 5(2). 330–346. 51 indexed citations

15.

Parnell, Stephen C., et al.. (2005). Phosphorylation of the RGS Protein Sst2 by the MAP Kinase Fus3 and Use of Sst2 as a Model To Analyze Determinants of Substrate Sequence Specificity. Biochemistry. 44(22). 8159–8166. 20 indexed citations

16.

Parnell, Stephen C., Brenda S. Magenheimer, Robin L. Maser, et al.. (2002). Polycystin-1 Activation of c-Jun N-terminal Kinase and AP-1 Is Mediated by Heterotrimeric G Proteins. Journal of Biological Chemistry. 277(22). 19566–19572. 138 indexed citations

17.

Parnell, Stephen C., Brenda S. Magenheimer, Robin L. Maser, & James P. Calvet. (1999). Identification of the Major Site of in Vitro PKA Phosphorylation in the Polycystin-1 C-Terminal Cytosolic Domain. Biochemical and Biophysical Research Communications. 259(3). 539–543. 31 indexed citations

18.

Parnell, Stephen C., Brenda S. Magenheimer, Robin L. Maser, et al.. (1998). The Polycystic Kidney Disease-1 Protein, Polycystin-1, Binds and Activates Heterotrimeric G-Proteinsin Vitro. Biochemical and Biophysical Research Communications. 251(2). 625–631. 185 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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