Denise Pinney

790 total citations
9 papers, 661 citations indexed

About

Denise Pinney is a scholar working on Neurology, Molecular Biology and Cell Biology. According to data from OpenAlex, Denise Pinney has authored 9 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Denise Pinney's work include Neurofibromatosis and Schwannoma Cases (5 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). Denise Pinney is often cited by papers focused on Neurofibromatosis and Schwannoma Cases (5 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). Denise Pinney collaborates with scholars based in United States. Denise Pinney's co-authors include Vijaya Ramesh, Charo Gonzalez-Agosti, James F. Gusella, Roberta L. Beauchamp, Anita E. Murthy, Frank Solomon, David N. Louis, Christopher J. Sterner, Anat Stemmer‐Rachamimov and Lin Xu and has published in prestigious journals such as Journal of Biological Chemistry, Experimental Cell Research and American Journal of Physiology-Renal Physiology.

In The Last Decade

Denise Pinney

9 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denise Pinney United States 9 354 275 209 129 124 9 661
Mohini Lutchman United States 14 257 0.7× 325 1.2× 252 1.2× 56 0.4× 77 0.6× 22 733
Anita E. Murthy United States 9 294 0.8× 413 1.5× 243 1.2× 57 0.4× 79 0.6× 9 737
Matthew S. Eckman United States 4 207 0.6× 294 1.1× 248 1.2× 129 1.0× 96 0.8× 4 555
Kristen C. Johnson United States 4 219 0.6× 183 0.7× 232 1.1× 81 0.6× 98 0.8× 4 439
F. Vega France 10 387 1.1× 158 0.6× 37 0.2× 80 0.6× 111 0.9× 14 616
Setareh Shamsili Netherlands 9 668 1.9× 364 1.3× 32 0.2× 215 1.7× 258 2.1× 14 1.1k
Elisabeth Castellanos Spain 13 144 0.4× 319 1.2× 188 0.9× 78 0.6× 27 0.2× 26 620
Huarui Zheng China 8 110 0.3× 232 0.8× 59 0.3× 125 1.0× 38 0.3× 17 501
D Housman United States 11 233 0.7× 438 1.6× 52 0.2× 90 0.7× 46 0.4× 15 680
Luca Bravi Italy 8 408 1.2× 325 1.2× 109 0.5× 53 0.4× 20 0.2× 9 847

Countries citing papers authored by Denise Pinney

Since Specialization
Citations

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

Fields of papers citing papers by Denise Pinney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Pinney

This figure shows the co-authorship network connecting the top 25 collaborators of Denise Pinney. A scholar is included among the top collaborators of Denise Pinney 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 Denise Pinney. Denise Pinney 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.
Murthy, Vanishree, Luciana Amaral Haddad, Nicole Smith, et al.. (2000). Similarities and differences in the subcellular localization of hamartin and tuberin in the kidney. American Journal of Physiology-Renal Physiology. 278(5). F737–F746. 32 indexed citations
2.
Murthy, Anita E., Charo Gonzalez-Agosti, Denise Pinney, et al.. (1998). NHE-RF, a Regulatory Cofactor for Na+-H+Exchange, Is a Common Interactor for Merlin and ERM (MERM) Proteins. Journal of Biological Chemistry. 273(3). 1273–1276. 212 indexed citations
3.
Xu, Lin, Charo Gonzalez-Agosti, Roberta L. Beauchamp, et al.. (1998). Analysis of Molecular Domains of Epitope-Tagged Merlin Isoforms in Cos-7 Cells and Primary Rat Schwann Cells. Experimental Cell Research. 238(1). 231–240. 32 indexed citations
4.
Stemmer‐Rachamimov, Anat, Lin Xu, Charo Gonzalez-Agosti, et al.. (1997). Universal absence of merlin, but not other ERM family members, in schwannomas.. PubMed. 151(6). 1649–54. 93 indexed citations
5.
Stemmer‐Rachamimov, Anat, Charo Gonzalez-Agosti, Lin Xu, et al.. (1997). Expression of NF2-encoded Merlin and Related ERM Family Proteins in the Human Central Nervous System. Journal of Neuropathology & Experimental Neurology. 56(6). 735–742. 28 indexed citations
6.
Stemmer‐Rachamimov, Anat, Charo Gonzalez-Agosti, Lin Xu, et al.. (1997). Expression of NF2-encoded Merlin and Related ERM Family Proteins in the Human Central Nervous System. Journal of Neuropathology & Experimental Neurology. 56(6). 735–742. 38 indexed citations
7.
Gonzalez-Agosti, Charo, Lin Xu, Denise Pinney, et al.. (1996). The merlin tumor suppressor localizes preferentially in membrane ruffles.. PubMed. 13(6). 1239–47. 95 indexed citations
8.
Rustgi, Anil K., Lin Xu, Denise Pinney, et al.. (1995). Neurofibromatosis 2 gene in human colorectal cancer. Cancer Genetics and Cytogenetics. 84(1). 24–26. 33 indexed citations
9.
Xu, Liang‐Guo, Dennis C. Sgroi, Christopher J. Sterner, et al.. (1994). Mutational analysis of CDKN2 (MTS1/p16ink4) in human breast carcinomas.. PubMed. 54(20). 5262–4. 98 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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