Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Assessing Model Fit by Cross-Validation
2003598 citationsDouglas M. Hawkins, Subhash C. Basak et al.Journal of Chemical Information and Computer Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Subhash C. Basak
Since
Specialization
Citations
This map shows the geographic impact of Subhash C. Basak'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 C. Basak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash C. Basak more than expected).
Fields of papers citing papers by Subhash C. Basak
This network shows the impact of papers produced by Subhash C. Basak. 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 C. Basak. The network helps show where Subhash C. Basak may publish in the future.
Co-authorship network of co-authors of Subhash C. Basak
This figure shows the co-authorship network connecting the top 25 collaborators of Subhash C. Basak.
A scholar is included among the top collaborators of Subhash C. Basak 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 C. Basak. Subhash C. Basak is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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
5.
Basak, Subhash C., Brian D. Gute, & Frank A. Witzmann. (2005). Information-theoretic biodescriptors for proteomics maps: Development and applications in predictive toxicology. WSEAS Transactions on Information Science and Applications archive. 2(7). 39–1001.2 indexed citations
6.
Kowluru, Anjaneyulu, et al.. (2005). Long–Term Administration of Lipoic Acid Inhibits Retinopathy in Diabetic Rats via Regulating Mitochondrial Superoxide Dismutase. Investigative Ophthalmology & Visual Science. 46(13). 422–422.3 indexed citations
7.
Randić, Milan, Nella Lerš, Dejan Plavšić, & Subhash C. Basak. (2004). Characterization of 2-D Proteome Maps Based on the Nearest Neighborhoods of Spots. Institutional Repository of the Ruđer Bošković Institute (Ruđer Bošković Institute).8 indexed citations
8.
Basak, Subhash C., Brian D. Gute, & Alexandrù T. Balaban. (2004). Interrelationship of Major Topological Indices Evidenced by Clustering. Croatica Chemica Acta. 77. 331–344.19 indexed citations
Randić, Milan, et al.. (2001). On characterization of proteomics maps and chemically induced changes in proteomes using matrix invariants: Application to peroxisome proliferators. Medicinal Chemistry Research. 10. 456–479.25 indexed citations
11.
Randić, Milan, Subhash C. Basak, Matevž Pompe, & Marjana Novič. (2001). Prediction of gas chromatographic retention indices using variable connectivity index. Acta chimica slovenica. 48(2). 169–180.6 indexed citations
Opitz, David W., Subhash C. Basak, & Brian D. Gute. (1999). Hazard assessment modeling: an evolutionary ensemble approach. Genetic and Evolutionary Computation Conference. 1643–1650.7 indexed citations
15.
Basak, Subhash C., Brian D. Gute, & Gregory D. Grunwald. (1996). Estimation of the Normal Boiling Points of Haloalkanes Using Molecular Similarity. Croatica Chemica Acta. 69(3). 1159–1173.14 indexed citations
16.
Basak, Subhash C., Gerald J. Niemi, & Gilman D. Veith. (1990). Recent developments in the characterization of chemical structure using graph-theoretic indices. Nova Science Publishers, Inc. eBooks. 235–277.8 indexed citations
17.
Basak, Subhash C.. (1987). Use of molecular complexity indices in predictive pharmacology and toxicology: A QSAR approach. Medical science research. 15(11). 605–609.76 indexed citations
Basak, Subhash C., Sudipta Ray, & Chandan Raychaudhury. (1982). Molecular topology and pharmacological action: A QSAR study of tetrazoles using topological information content (IC). 10(2). 145–146.4 indexed citations
20.
Ray, Sudipta, Subhash C. Basak, & Chandan Raychaudhury. (1982). A quantitative structure activity relationship study of tumor inhibitory triazenes using bonding information content and lipophilicity. 10(11). 933–934.2 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.