Scott Gridley

465 total citations
10 papers, 359 citations indexed

About

Scott Gridley is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Scott Gridley has authored 10 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Scott Gridley's work include Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Scott Gridley is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Scott Gridley collaborates with scholars based in United States, Czechia and United Kingdom. Scott Gridley's co-authors include Gustav E. Lienhard, Forest M. White, Susan E. Kane, William S. Lane, Jeffrey G. Manni, Charles W. Garner, Jose A. Chavez, Edward A. Esposito, Kristen M. Naegle and Leo S. Payne and has published in prestigious journals such as Diabetes, Langmuir and Analytical Biochemistry.

In The Last Decade

Scott Gridley

10 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Gridley United States 8 233 69 63 59 42 10 359
Anuradha Nalli India 4 193 0.8× 39 0.6× 96 1.5× 50 0.8× 16 0.4× 6 303
Dorian Immler Germany 6 277 1.2× 88 1.3× 138 2.2× 18 0.3× 38 0.9× 8 452
Editha Bayer Austria 9 262 1.1× 42 0.6× 93 1.5× 24 0.4× 13 0.3× 10 393
Nina C. Gundacker Austria 10 165 0.7× 21 0.3× 82 1.3× 23 0.4× 19 0.5× 11 332
Masahiko Nezu Japan 10 226 1.0× 62 0.9× 48 0.8× 20 0.3× 45 1.1× 19 342
Shaun Ghanny Canada 6 312 1.3× 40 0.6× 137 2.2× 18 0.3× 14 0.3× 6 447
J Grabarek United States 10 236 1.0× 36 0.5× 13 0.2× 25 0.4× 21 0.5× 10 547
Raphael Heilig United Kingdom 10 271 1.2× 25 0.4× 94 1.5× 20 0.3× 19 0.5× 18 418
Wael Naboulsi Germany 10 210 0.9× 35 0.5× 63 1.0× 71 1.2× 19 0.5× 14 349
Ayesha I. De Souza United Kingdom 8 281 1.2× 36 0.5× 51 0.8× 12 0.2× 41 1.0× 10 388

Countries citing papers authored by Scott Gridley

Since Specialization
Citations

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

Fields of papers citing papers by Scott Gridley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Gridley

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

All Works

10 of 10 papers shown
1.
Iwai, Leo Kei, Leo S. Payne, Francis Chang, et al.. (2013). Phosphoproteomics of collagen receptor networks reveals SHP-2 phosphorylation downstream of wild-type DDR2 and its lung cancer mutants. Biochemical Journal. 454(3). 501–513. 61 indexed citations
2.
Nichols, Tim, Stephan K. Grant, Laura Lingardo, et al.. (2011). Study of the PDK1/AKT signaling pathway using selective PDK1 inhibitors, HCS, and enhanced biochemical assays. Analytical Biochemistry. 414(2). 179–186. 22 indexed citations
3.
Huang, Fei, Daniel G. Gibson, Scott Gridley, et al.. (2010). Immobilization of Acetylcholinesterase in Lipid Membranes Deposited on Self-Assembled Monolayers. Langmuir. 26(24). 18884–18892. 1 indexed citations
5.
Gridley, Scott, et al.. (2010). Challenges and Approaches for Assay Development of Membrane and Membrane-Associated Proteins in Drug Discovery. Progress in molecular biology and translational science. 91. 209–239. 3 indexed citations
6.
Gridley, Scott, et al.. (2009). Near‐infrared Photoinactivation of Bacteria and Fungi at Physiologic Temperatures. Photochemistry and Photobiology. 85(6). 1364–1374. 57 indexed citations
7.
Gridley, Scott, Jose A. Chavez, William S. Lane, & Gustav E. Lienhard. (2006). Adipocytes contain a novel complex similar to the tuberous sclerosis complex. Cellular Signalling. 18(10). 1626–1632. 21 indexed citations
8.
Chavez, Jose A., Scott Gridley, Hiroyuki Sano, William S. Lane, & Gustav E. Lienhard. (2006). The 47kDa Akt substrate associates with phosphodiesterase 3B and regulates its level in adipocytes. Biochemical and Biophysical Research Communications. 342(4). 1218–1222. 13 indexed citations
9.
Kane, Susan E., et al.. (2006). Temporal Dynamics of Tyrosine Phosphorylation in Insulin Signaling. Diabetes. 55(8). 2171–2179. 136 indexed citations
10.
Gridley, Scott, William S. Lane, Charles W. Garner, & Gustav E. Lienhard. (2004). Novel insulin-elicited phosphoproteins in adipocytes. Cellular Signalling. 17(1). 59–66. 36 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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