Scott Oloff

1.4k total citations
14 papers, 1.1k citations indexed

About

Scott Oloff is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Scott Oloff has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 11 papers in Molecular Biology and 5 papers in Spectroscopy. Recurrent topics in Scott Oloff's work include Computational Drug Discovery Methods (12 papers), Analytical Chemistry and Chromatography (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Scott Oloff is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Analytical Chemistry and Chromatography (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Scott Oloff collaborates with scholars based in United States, Austria and France. Scott Oloff's co-authors include Alexander Tropsha, Ken D. McCarthy, Wolfgang Nett, Alexander Golbraikh, Ingo Muegge, Shuxing Zhang, Harold Kohn, Richard B. Mailman, Yun-De Xiao and Joseph R. Votano and has published in prestigious journals such as Journal of Neurophysiology, Journal of Medicinal Chemistry and Neuropharmacology.

In The Last Decade

Scott Oloff

13 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Oloff United States	11	561	487	262	168	130	14	1.1k
Claire Mackie Belgium	25	421 0.8×	793 1.6×	371 1.4×	189 1.1×	83 0.6×	49	2.0k
Stefanus J. Steyn United States	19	257 0.5×	428 0.9×	195 0.7×	111 0.7×	78 0.6×	38	1.5k
Haiyan Shao United States	13	275 0.5×	969 2.0×	88 0.3×	132 0.8×	38 0.3×	23	1.8k
Thomas Balle Denmark	26	345 0.6×	1.3k 2.7×	417 1.6×	416 2.5×	58 0.4×	91	2.0k
Hassan Pajouhesh United States	14	331 0.6×	966 2.0×	382 1.5×	465 2.8×	56 0.4×	30	2.1k
Trevor Howe United Kingdom	13	286 0.5×	697 1.4×	393 1.5×	308 1.8×	16 0.1×	24	1.2k
Hugues‐Olivier Bertrand France	17	455 0.8×	887 1.8×	521 2.0×	209 1.2×	21 0.2×	28	1.4k
Mark G. Bures United States	17	542 1.0×	1.2k 2.6×	637 2.4×	425 2.5×	29 0.2×	26	2.0k
Philipp O. Tsvetkov Russia	23	233 0.4×	1.0k 2.1×	134 0.5×	58 0.3×	113 0.9×	55	1.7k
Heike J. Wobst United States	14	175 0.3×	603 1.2×	171 0.7×	102 0.6×	97 0.7×	19	1.6k

Countries citing papers authored by Scott Oloff

Since Specialization

Citations

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

Fields of papers citing papers by Scott Oloff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Oloff

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

All Works

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14 of 14 papers shown

Kohn, Harold, Shuxing Zhang, Alexander Golbraikh, Alexander Tropsha, & Scott Oloff. (2020). A Novel Automated Lazy Learning QSAR (ALL-QSAR) Approach: Method Development, Applications, and Virtual Screening of Chemical Databases Using Validated ALL-QSAR Models. Figshare.

Oloff, Scott & Ingo Muegge. (2007). kScore: a novel machine learning approach that is not dependent on the data structure of the training set. Journal of Computer-Aided Molecular Design. 21(1-3). 87–95. 4 indexed citations

Muegge, Ingo & Scott Oloff. (2006). Advances in virtual screening. Drug Discovery Today Technologies. 3(4). 405–411. 105 indexed citations

Ryman-Rasmussen, Jessica P., Scott Oloff, Nagarajan Vaidehi, et al.. (2006). Functional selectivity of dopamine D1 receptor agonists in regulating the fate of internalized receptors. Neuropharmacology. 52(2). 562–575. 36 indexed citations

Golbraikh, Alexander, et al.. (2006). Combinatorial QSAR Modeling of P‐Glycoprotein Substrates.. ChemInform. 37(31). 2 indexed citations

Votano, Joseph R., L. Mark Hall, Lowell H. Hall, et al.. (2006). QSAR Modeling of Human Serum Protein Binding with Several Modeling Techniques Utilizing Structure−Information Representation. Journal of Medicinal Chemistry. 49(24). 7169–7181. 119 indexed citations

Oloff, Scott, Shuxing Zhang, N. Sukumar, Curt M. Breneman, & Alexander Tropsha. (2006). Chemometric Analysis of Ligand Receptor Complementarity: Identifying Complementary Ligands Based on Receptor Information (CoLiBRI). Journal of Chemical Information and Modeling. 46(2). 844–851. 34 indexed citations

Golbraikh, Alexander, et al.. (2006). Combinatorial QSAR Modeling of P-Glycoprotein Substrates. Journal of Chemical Information and Modeling. 46(3). 1245–1254. 101 indexed citations

Zhang, Shuxing, Alexander Golbraikh, Scott Oloff, Harold Kohn, & Alexander Tropsha. (2006). A Novel Automated Lazy Learning QSAR (ALL-QSAR) Approach: Method Development, Applications, and Virtual Screening of Chemical Databases Using Validated ALL-QSAR Models. Journal of Chemical Information and Modeling. 46(5). 1984–1995. 199 indexed citations

10.

Golbraikh, Alexander, et al.. (2005). QSAR Modeling of Datasets with Enantioselective Compounds using Chirality Sensitive Molecular Descriptors. SAR and QSAR in environmental research. 16(1-2). 93–102. 19 indexed citations

11.

Oloff, Scott, Richard B. Mailman, & Alexander Tropsha. (2005). Application of Validated QSAR Models of D₁Dopaminergic Antagonists for Database Mining. Journal of Medicinal Chemistry. 48(23). 7322–7332. 72 indexed citations

12.

Medina‐Franco, José L., Alexander Golbraikh, Scott Oloff, Rafael Castillo, & Alexander Tropsha. (2005). Quantitative Structure–activity Relationship Analysis of Pyridinone HIV-1 Reverse Transcriptase Inhibitors using the k Nearest Neighbor Method and QSAR-based Database Mining. Journal of Computer-Aided Molecular Design. 19(4). 229–242. 30 indexed citations

13.

Golbraikh, Alexander, Scott Oloff, Weifan Zheng, et al.. (2004). Combinatorial QSAR of Ambergris Fragrance Compounds. Journal of Chemical Information and Computer Sciences. 44(2). 582–595. 66 indexed citations

14.

Nett, Wolfgang, Scott Oloff, & Ken D. McCarthy. (2002). Hippocampal Astrocytes In Situ Exhibit Calcium Oscillations That Occur Independent of Neuronal Activity. Journal of Neurophysiology. 87(1). 528–537. 263 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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