Subhash Ajmani

645 total citations
15 papers, 536 citations indexed

About

Subhash Ajmani is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Subhash Ajmani has authored 15 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 3 papers in Pharmacology. Recurrent topics in Subhash Ajmani's work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (2 papers) and Protein Structure and Dynamics (2 papers). Subhash Ajmani is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (2 papers) and Protein Structure and Dynamics (2 papers). Subhash Ajmani collaborates with scholars based in India, United Kingdom and Mexico. Subhash Ajmani's co-authors include Sudhir A. Kulkarni, David J. Livingstone, Mark H. Barley, Stephen C. Rogers, Vellarkad N. Viswanadhan, Andrew N. Burgess, Alok Dhawan, Mahima Bajpayee, Deepak Gurbani and Alok K. Pandey and has published in prestigious journals such as Bioorganic & Medicinal Chemistry, Mutation research. Fundamental and molecular mechanisms of mutagenesis and Journal of Chemical Information and Modeling.

In The Last Decade

Subhash Ajmani

15 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Subhash Ajmani India	12	324	231	187	65	64	15	536
Suresh Babu Mekapati United States	14	324 1.0×	242 1.0×	237 1.3×	57 0.9×	77 1.2×	21	640
Prajwal P. Nandekar India	17	174 0.5×	133 0.6×	339 1.8×	86 1.3×	46 0.7×	33	690
María Gálvez-Llompart Spain	14	283 0.9×	197 0.9×	224 1.2×	39 0.6×	52 0.8×	47	517
Teresa Krieger-Burke United States	7	317 1.0×	181 0.8×	356 1.9×	26 0.4×	62 1.0×	11	788
Valentin Steinhauer Germany	4	313 1.0×	131 0.6×	180 1.0×	71 1.1×	31 0.5×	5	471
Trevor Heritage United States	9	336 1.0×	134 0.6×	196 1.0×	68 1.0×	28 0.4×	18	470
Tomasz Magdziarz Poland	11	291 0.9×	95 0.4×	206 1.1×	59 0.9×	44 0.7×	34	524
Liane Saı́z-Urra Spain	12	307 0.9×	165 0.7×	297 1.6×	42 0.6×	50 0.8×	19	552
Paolo Benedetti Italy	14	147 0.5×	103 0.4×	254 1.4×	42 0.6×	48 0.8×	25	601
Alban Lepailleur France	14	194 0.6×	128 0.6×	255 1.4×	31 0.5×	74 1.2×	32	619

Countries citing papers authored by Subhash Ajmani

Since Specialization

Citations

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

Fields of papers citing papers by Subhash Ajmani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhash Ajmani

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

All Works

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15 of 15 papers shown

Scior, Thomas, et al.. (2015). Antiprotozoal Nitazoxanide Derivatives: Synthesis, Bioassays and QSAR Study Combined with Docking for Mechanistic Insight. Current Computer - Aided Drug Design. 11(1). 21–31. 11 indexed citations

Ajmani, Subhash & Vellarkad N. Viswanadhan. (2013). A Neural Network-Based QSAR Approach for Exploration of Diverse Multi-Tyrosine Kinase Inhibitors and its Comparison with a Fragment- Based Approach. Current Computer - Aided Drug Design. 9(4). 482–490. 3 indexed citations

Ajmani, Subhash, et al.. (2013). Toward a general predictive QSAR model for gamma-secretase inhibitors. Molecular Diversity. 17(3). 421–434. 15 indexed citations

Ajmani, Subhash & Sudhir A. Kulkarni. (2012). Application of GQSAR for Scaffold Hopping and Lead Optimization in Multitarget Inhibitors. Molecular Informatics. 31(6-7). 473–490. 16 indexed citations

Ajmani, Subhash, Stephen C. Rogers, Mark H. Barley, Andrew N. Burgess, & David J. Livingstone. (2010). Characterization of Mixtures. Part 2: QSPR Models for Prediction of Excess Molar Volume and Liquid Density Using Neural Networks. Molecular Informatics. 29(8-9). 645–653. 11 indexed citations

Ajmani, Subhash, et al.. (2010). A comprehensive structure–activity analysis of protein kinase B-alpha (Akt1) inhibitors. Journal of Molecular Graphics and Modelling. 28(7). 683–694. 34 indexed citations

Ajmani, Subhash, et al.. (2009). Rationalizing Protein–Ligand Interactions for PTP1B Inhibitors Using Computational Methods. Chemical Biology & Drug Design. 74(6). 582–595. 10 indexed citations

Pandey, Alok K., Deepak Gurbani, Mahima Bajpayee, et al.. (2008). In silico studies with human DNA topoisomerase-II alpha to unravel the mechanism of in vitro genotoxicity of benzene and its metabolites. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 661(1-2). 57–70. 36 indexed citations

Ajmani, Subhash & Sudhir A. Kulkarni. (2008). A Dual‐Response Partial Least Squares Regression QSAR Model and its Application in Design of Dual Activators of PPARα and PPARγ. QSAR & Combinatorial Science. 27(11-12). 1291–1304. 15 indexed citations

10.

Ajmani, Subhash, et al.. (2008). Characterization of Mixtures Part 1: Prediction of Infinite‐Dilution Activity Coefficients Using Neural Network‐Based QSPR Models. QSAR & Combinatorial Science. 27(11-12). 1346–1361. 23 indexed citations

11.

Ajmani, Subhash, et al.. (2008). Group‐Based QSAR (G‐QSAR): Mitigating Interpretation Challenges in QSAR. QSAR & Combinatorial Science. 28(1). 36–51. 68 indexed citations

12.

Salt, David W., et al.. (2006). An Improved Approximation to the Estimation of the Critical F Values in Best Subset Regression. Journal of Chemical Information and Modeling. 47(1). 143–149. 21 indexed citations

13.

Ajmani, Subhash, Stephen C. Rogers, Mark H. Barley, & David J. Livingstone. (2006). Application of QSPR to Mixtures. Journal of Chemical Information and Modeling. 46(5). 2043–2055. 53 indexed citations

14.

Ajmani, Subhash, et al.. (2005). Three-Dimensional QSAR Using the k-Nearest Neighbor Method and Its Interpretation. Journal of Chemical Information and Modeling. 46(1). 24–31. 172 indexed citations

15.

Ajmani, Subhash, et al.. (2004). Modeling and interactions of Aspergillus fumigatus lanosterol 14-α demethylase `A' with azole antifungals. Bioorganic & Medicinal Chemistry. 12(11). 2937–2950. 48 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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