Denise Mills

2.0k total citations · 1 hit paper
54 papers, 1.5k citations indexed

About

Denise Mills is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Spectroscopy. According to data from OpenAlex, Denise Mills has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computational Theory and Mathematics, 31 papers in Organic Chemistry and 11 papers in Spectroscopy. Recurrent topics in Denise Mills's work include Computational Drug Discovery Methods (48 papers), Free Radicals and Antioxidants (19 papers) and Analytical Chemistry and Chromatography (11 papers). Denise Mills is often cited by papers focused on Computational Drug Discovery Methods (48 papers), Free Radicals and Antioxidants (19 papers) and Analytical Chemistry and Chromatography (11 papers). Denise Mills collaborates with scholars based in United States, Australia and Romania. Denise Mills's co-authors include Subhash C. Basak, Douglas M. Hawkins, Brian D. Gute, Alexandrù T. Balaban, S. C. Basak, Moiz Mumtaz, Hisham El‐Masri, Ramanathan Natarajan, Manish C. Bagchi and K. Balasubramanian and has published in prestigious journals such as Molecules, Risk Analysis and Journal of Chemical Information and Modeling.

In The Last Decade

Denise Mills

54 papers receiving 1.4k citations

Hit Papers

Assessing Model Fit by Cross-Validation 2003 2026 2010 2018 2003 100 200 300 400 500

Peers

Denise Mills
Denise Mills
Citations per year, relative to Denise Mills Denise Mills (= 1×) peers Jesus Vicente de Julián‐Ortiz

Countries citing papers authored by Denise Mills

Since Specialization
Citations

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

Fields of papers citing papers by Denise Mills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Mills

This figure shows the co-authorship network connecting the top 25 collaborators of Denise Mills. A scholar is included among the top collaborators of Denise Mills 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 Mills. Denise Mills 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.
Restrepo, Guillermo, Subhash C. Basak, & Denise Mills. (2011). Comparison of QSARs and Characterization of Structural Basis of Bioactivity Using Partial Order Theory and Formal Concept Analysis: A Case Study with Mutagenicity. Current Computer - Aided Drug Design. 7(2). 109–121. 11 indexed citations
2.
Basak, Subhash C., Qianhong Zhu, & Denise Mills. (2011). Quantitative Structure-Activity Relationships for Anticancer Activity of 2- Phenylindoles Using Mathematical Molecular Descriptors. Current Computer - Aided Drug Design. 7(2). 98–108. 6 indexed citations
3.
Basak, Subhash C., et al.. (2010). Use of Mathematical Structural Invariants in Analyzing Combinatorial Libraries: A Case Study with Psoralen Derivatives. Current Computer - Aided Drug Design. 6(4). 240–251. 4 indexed citations
4.
Basak, Subhash C. & Denise Mills. (2010). Quantitative structure-activity relationships for cycloguanil analogs as PfDHFR inhibitors using mathematical molecular descriptors. SAR and QSAR in environmental research. 21(3-4). 215–229. 10 indexed citations
5.
Basak, Subhash C., Denise Mills, Douglas M. Hawkins, & A. K. Bhattacharjee. (2010). Quantitative structure–activity relationship studies of antimalarial compounds from their calculated mathematical descriptors. SAR and QSAR in environmental research. 21(1-2). 103–125. 6 indexed citations
6.
Basak, Subhash C. & Denise Mills. (2009). Predicting the vapour pressure of chemicals from structure: a comparison of graph theoretic versus quantum chemical descriptors. SAR and QSAR in environmental research. 20(1-2). 119–132. 7 indexed citations
7.
Basak, Subhash C., et al.. (2009). Quantitative Structure–Activity Relationship (QSAR) Modeling of Human Blood : Air Partitioning with Proper Statistical Methods and Validation. Chemistry & Biodiversity. 6(4). 487–502. 8 indexed citations
8.
Hawkins, Douglas M., et al.. (2008). QSPR checking and validation: a case study with hydroxy radical reaction rate constant. SAR and QSAR in environmental research. 19(5-6). 525–539. 11 indexed citations
9.
Basak, Subhash C., Denise Mills, & Douglas M. Hawkins. (2008). Predicting allergic contact dermatitis: a hierarchical structure–activity relationship (SAR) approach to chemical classification using topological and quantum chemical descriptors. Journal of Computer-Aided Molecular Design. 22(6-7). 339–343. 6 indexed citations
10.
Bagchi, Manish C., Denise Mills, & Subhash C. Basak. (2006). Quantitative structure-activity relationship (QSAR) studies of quinolone antibacterials against M. fortuitum and M. smegmatis using theoretical molecular descriptors. Journal of Molecular Modeling. 13(1). 111–120. 30 indexed citations
11.
Basak, Subhash C., Ramanathan Natarajan, & Denise Mills. (2005). Structure-activity relationships for mosquito repellent aminoamides using the hierarchical QSAR method based on calculated molecular descriptors. Annual Conference on Computers. 2(7). 41–963. 1 indexed citations
12.
Bagchi, Manish C., et al.. (2004). Usefulness of graphical invariants in quantitative structure?activity correlations of tuberculostatic drugs of the isonicotinic acid hydrazide type. Journal of Molecular Modeling. 10(2). 102–111. 20 indexed citations
13.
Balaban, Alexandrù T., et al.. (2004). QSAR study using topological indices for inhibition of carbonic anhydrase II by sulfanilamides and Schiff bases. Molecular Diversity. 8(4). 401–412. 21 indexed citations
14.
Vračko, Marjan, Denise Mills, & Subhash C. Basak. (2003). Structure-mutagenicity modelling using counter propagation neural networks. Environmental Toxicology and Pharmacology. 16(1-2). 25–36. 21 indexed citations
15.
Basak, Subhash C., Denise Mills, Hisham El‐Masri, Moiz Mumtaz, & Douglas M. Hawkins. (2003). Predicting blood:air partition coefficients using theoretical molecular descriptors. Environmental Toxicology and Pharmacology. 16(1-2). 45–55. 25 indexed citations
16.
Basak, Subhash C., Denise Mills, Moiz Mumtaz, & K. Balasubramanian. (2003). Use of topological indices in predicting aryl hydrocarbon receptor binding potency of dibenzofurans: A hierarchical QSAR approach. 42(6). 1385–1391. 28 indexed citations
17.
Hawkins, Douglas M., Subhash C. Basak, & Denise Mills. (2003). Assessing Model Fit by Cross-Validation. Journal of Chemical Information and Computer Sciences. 43(2). 579–586. 598 indexed citations breakdown →
18.
Hawkins, Douglas M., Subhash C. Basak, & Denise Mills. (2003). QSARs for chemical mutagens from structure: ridge regression fitting and diagnostics. Environmental Toxicology and Pharmacology. 16(1-2). 37–44. 9 indexed citations
19.
Basak, S. C. & Denise Mills. (2001). Prediction of Mutagenicity Utilizing A Hierarchical Qsar Approach. SAR and QSAR in environmental research. 12(6). 481–496. 25 indexed citations
20.
Basak, Subhash C., Denise Mills, Alexandrù T. Balaban, & Brian D. Gute. (2000). Prediction of Mutagenicity of Aromatic and Heteroaromatic Amines from Structure:  A Hierarchical QSAR Approach. Journal of Chemical Information and Computer Sciences. 41(3). 671–678. 68 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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