Scott A. Wildman

3.4k total citations · 1 hit paper
39 papers, 2.2k citations indexed

About

Scott A. Wildman is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Scott A. Wildman has authored 39 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 6 papers in Pharmacology. Recurrent topics in Scott A. Wildman's work include Computational Drug Discovery Methods (13 papers), Protein Structure and Dynamics (5 papers) and Liver physiology and pathology (4 papers). Scott A. Wildman is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Protein Structure and Dynamics (5 papers) and Liver physiology and pathology (4 papers). Scott A. Wildman collaborates with scholars based in United States, United Kingdom and China. Scott A. Wildman's co-authors include Gordon M. Crippen, James W. Janetka, Zhenfu Han, F. Michael Hoffmann, P. A. Christiansen, Jonathan Duckett, Gino A. DiLabio, Claire M. Peppiatt‐Wildman, Aswini Balachandran and Corinne K. Cusumano and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Scott A. Wildman

39 papers receiving 2.2k citations

Hit Papers

Prediction of Physicochemical Parameters by Atomic Contri... 1999 2026 2008 2017 1999 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott A. Wildman United States 21 1.0k 762 474 325 241 39 2.2k
Hongming Chen China 28 1.2k 1.2× 419 0.5× 325 0.7× 524 1.6× 183 0.8× 93 2.7k
Gregory A. Ross United States 17 1.2k 1.1× 507 0.7× 290 0.6× 294 0.9× 93 0.4× 26 2.0k
Art E. Cho South Korea 20 1.4k 1.3× 528 0.7× 530 1.1× 306 0.9× 86 0.4× 67 2.6k
Martin Smieško Switzerland 27 1.0k 1.0× 560 0.7× 445 0.9× 134 0.4× 124 0.5× 102 2.1k
Francesca Spyrakis Italy 30 1.7k 1.7× 646 0.8× 306 0.6× 410 1.3× 243 1.0× 113 2.9k
Qi-Shi Du China 27 1.7k 1.6× 634 0.8× 289 0.6× 347 1.1× 343 1.4× 74 2.7k
Paul Labute Canada 20 1.7k 1.7× 922 1.2× 485 1.0× 368 1.1× 78 0.3× 42 2.9k
Joseph W. Kaus United States 8 1.6k 1.6× 745 1.0× 586 1.2× 348 1.1× 103 0.4× 8 2.7k
Dmitry Lupyan United States 12 1.9k 1.9× 723 0.9× 569 1.2× 403 1.2× 108 0.4× 14 3.0k
Zoe Cournia Greece 28 2.1k 2.0× 968 1.3× 460 1.0× 510 1.6× 101 0.4× 65 3.2k

Countries citing papers authored by Scott A. Wildman

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Wildman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott A. Wildman

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

All Works

20 of 20 papers shown
1.
Hunt, Jack F.V., Meng Li, Ryan D. Risgaard, et al.. (2021). High Throughput Small Molecule Screen for Reactivation of FMR1 in Fragile X Syndrome Human Neural Cells. Cells. 11(1). 69–69. 4 indexed citations
2.
Zhang, Huikun, Spencer S. Ericksen, Ching-pei Lee, et al.. (2019). Predicting kinase inhibitors using bioactivity matrix derived informer sets. PLoS Computational Biology. 15(8). e1006813–e1006813. 7 indexed citations
3.
Tyagi, Rahul, Mostafa A. Elfawal, Scott A. Wildman, et al.. (2019). Identification of small molecule enzyme inhibitors as broad-spectrum anthelmintics. Scientific Reports. 9(1). 9085–9085. 22 indexed citations
4.
Zhou, Ting, Qiwei Wang, Noel Phan, et al.. (2019). Identification of a novel class of RIP1/RIP3 dual inhibitors that impede cell death and inflammation in mouse abdominal aortic aneurysm models. Cell Death and Disease. 10(3). 226–226. 71 indexed citations
5.
Zhao, Changgui, Zhi‐Xiong Ma, Scott A. Wildman, et al.. (2019). A general strategy for diversifying complex natural products to polycyclic scaffolds with medium-sized rings. Nature Communications. 10(1). 4015–4015. 82 indexed citations
6.
Singh, Megh, Leslie A. Weiss, Rachel L. Kinsella, et al.. (2019). Identification of 4-Amino-Thieno[2,3- d ]Pyrimidines as QcrB Inhibitors in Mycobacterium tuberculosis. mSphere. 4(5). 27 indexed citations
7.
Balachandran, Aswini, et al.. (2018). Age, menopausal status and the bladder microbiome. European Journal of Obstetrics & Gynecology and Reproductive Biology. 228. 126–129. 47 indexed citations
8.
Kapoor, Vaishali, David Dadey, Kim Phi Phụng Nguyễn, et al.. (2016). Tumor-Specific Binding of Radiolabeled PEGylated GIRLRG Peptide: A Novel Agent for Targeting Cancers. Journal of Nuclear Medicine. 57(12). 1991–1997. 22 indexed citations
9.
Wang, Qi, Esley M. Heizer, Bruce A. Rosa, et al.. (2016). Characterization of parasite-specific indels and their proposed relevance for selective anthelminthic drug targeting. Infection Genetics and Evolution. 39. 201–211. 7 indexed citations
10.
Jones, Darin E., et al.. (2015). Structure-based discovery of small molecule hepsin and HGFA protease inhibitors: Evaluation of potency and selectivity derived from distinct binding pockets. Bioorganic & Medicinal Chemistry. 23(10). 2328–2343. 24 indexed citations
11.
Simpson, Catherine, Nathaniel G. Jones, Emily A. Hull-Ryde, et al.. (2015). Identification of Small Molecule Inhibitors That Block the Toxoplasma gondii Rhoptry Kinase ROP18. ACS Infectious Diseases. 2(3). 194–206. 9 indexed citations
12.
Hresko, Richard C., Thomas E. Kraft, Anatoly Tzekov, Scott A. Wildman, & Paul W. Hruz. (2014). Isoform-selective Inhibition of Facilitative Glucose Transporters. Journal of Biological Chemistry. 289(23). 16100–16113. 16 indexed citations
13.
Wildman, Scott A.. (2013). Approaches to Virtual Screening and Screening Library Selection. Current Pharmaceutical Design. 19(26). 4787–4796. 7 indexed citations
14.
Lourido, Sebastian, Chao Zhang, Michael S. Lopez, et al.. (2013). Optimizing Small Molecule Inhibitors of Calcium-Dependent Protein Kinase 1 to Prevent Infection by Toxoplasma gondii. Journal of Medicinal Chemistry. 56(7). 3068–3077. 52 indexed citations
16.
Wildman, Scott A., et al.. (2011). Drug‐like Leads for Steric Discrimination between Substrate and Inhibitors of Human Acetylcholinesterase. Chemical Biology & Drug Design. 78(4). 495–504. 22 indexed citations
17.
Wildman, Scott A. & Gordon M. Crippen. (2003). Validation of DAPPER for 3D QSAR:  Conformational Search and Chirality Metric. Journal of Chemical Information and Computer Sciences. 43(2). 629–636. 11 indexed citations
18.
Wildman, Scott A. & Gordon M. Crippen. (2002). Three-dimensional molecular descriptors and a novel QSAR method. Journal of Molecular Graphics and Modelling. 21(3). 161–170. 18 indexed citations
19.
Wildman, Scott A. & Gordon M. Crippen. (1999). Prediction of Physicochemical Parameters by Atomic Contributions. Journal of Chemical Information and Computer Sciences. 39(5). 868–873. 1072 indexed citations breakdown →
20.
Wildman, Scott A., Gino A. DiLabio, & P. A. Christiansen. (1997). Accurate relativistic effective potentials for the sixth-row main group elements. The Journal of Chemical Physics. 107(23). 9975–9979. 53 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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