Samuel P. Simons

519 total citations
8 papers, 345 citations indexed

About

Samuel P. Simons is a scholar working on Molecular Biology, Genetics and Organic Chemistry. According to data from OpenAlex, Samuel P. Simons has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Organic Chemistry. Recurrent topics in Samuel P. Simons's work include Estrogen and related hormone effects (2 papers), Computational Drug Discovery Methods (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Samuel P. Simons is often cited by papers focused on Estrogen and related hormone effects (2 papers), Computational Drug Discovery Methods (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Samuel P. Simons collaborates with scholars based in United States, Poland and United Kingdom. Samuel P. Simons's co-authors include Peter K. LeMotte, Kieran F. Geoghegan, Lise R. Hoth, Preston Hensley, Thomas A. Brown, Rebecca L. Rich, David G. Myszka, Dennis E. Danley, Frank S. Menniti and Jayvardhan Pandit and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Analytical Biochemistry.

In The Last Decade

Samuel P. Simons

8 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel P. Simons United States 6 234 94 51 48 40 8 345
N. Devleeschouwer Belgium 13 154 0.7× 239 2.5× 61 1.2× 39 0.8× 97 2.4× 30 453
Birgitte W. Lund United States 12 170 0.7× 110 1.2× 57 1.1× 62 1.3× 23 0.6× 17 435
Michelle R. Gaylord United States 7 205 0.9× 27 0.3× 38 0.7× 37 0.8× 57 1.4× 7 384
Yuji Kado Japan 11 266 1.1× 37 0.4× 46 0.9× 117 2.4× 31 0.8× 23 460
John T. Herberg United States 12 369 1.6× 36 0.4× 49 1.0× 24 0.5× 34 0.8× 19 493
Mary Szatkowski Ozers United States 13 344 1.5× 128 1.4× 23 0.5× 8 0.2× 53 1.3× 16 541
David T. Winn United States 9 166 0.7× 68 0.7× 106 2.1× 14 0.3× 41 1.0× 11 282
Zhihui Qin United States 14 189 0.8× 78 0.8× 99 1.9× 38 0.8× 44 1.1× 19 358
Akiko Ikuta Japan 12 241 1.0× 29 0.3× 55 1.1× 26 0.5× 37 0.9× 32 509
Lloyd King United Kingdom 10 247 1.1× 31 0.3× 31 0.6× 14 0.3× 52 1.3× 24 370

Countries citing papers authored by Samuel P. Simons

Since Specialization
Citations

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

Fields of papers citing papers by Samuel P. Simons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel P. Simons. 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 Samuel P. Simons. The network helps show where Samuel P. Simons may publish in the future.

Co-authorship network of co-authors of Samuel P. Simons

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

All Works

8 of 8 papers shown
1.
Humphrey, John M., Christopher W. am Ende, Eric P. Arnold, et al.. (2014). Small-molecule phosphodiesterase probes: discovery of potent and selective CNS-penetrable quinazoline inhibitors of PDE1. MedChemComm. 5(9). 1290–1296. 31 indexed citations
2.
Simons, Samuel P., Thomas J. McLellan, Paul A. Aeed, et al.. (2009). Purification of the large ribosomal subunit via its association with the small subunit. Analytical Biochemistry. 395(1). 77–85. 6 indexed citations
3.
Liu, Shenping, Mahmoud N. Mansour, Keith Dillman, et al.. (2008). Structural basis for the catalytic mechanism of human phosphodiesterase 9. Proceedings of the National Academy of Sciences. 105(36). 13309–13314. 56 indexed citations
4.
Vajdos, F.F., Lise R. Hoth, Kieran F. Geoghegan, et al.. (2007). The 2.0 Å crystal structure of the ERα ligand‐binding domain complexed with lasofoxifene. Protein Science. 16(5). 897–905. 46 indexed citations
5.
Du, Ping, Chun Luo, Anil Mistry, et al.. (2005). Phosphorylation of serine residues in histidine-tag sequences attached to recombinant protein kinases: A cause of heterogeneity in mass and complications in function. Protein Expression and Purification. 44(2). 121–129. 20 indexed citations
6.
Du, Ping, et al.. (2005). Tandem mass spectrometry of multiply phosphorylated forms of a ‘histidine‐tag’ derived from a recombinant protein kinase expressed in bacteria. Rapid Communications in Mass Spectrometry. 19(4). 547–551. 4 indexed citations
7.
Rich, Rebecca L., Lise R. Hoth, Kieran F. Geoghegan, et al.. (2002). Kinetic analysis of estrogen receptor/ligand interactions. Proceedings of the National Academy of Sciences. 99(13). 8562–8567. 181 indexed citations
8.
Simons, Samuel P.. (1975). Additions and Corrections - Carboxyl-Assisted Hydrolyses. Synthesis and Hydrolysis of Diphenyl cis-2-(3-Carboxy)norbornyl Phosphates.. Journal of the American Chemical Society. 97(16). 4788–4788. 1 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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