Subhash C. Basak

203 papers receiving 4.3k citations

Hit Papers

Assessing Model Fit by Cross-Validation 2003 · 598 citations
5980+7+15Years since publication100200300400500

Peers

Subhash C. Basak
Comparison fields: 5 of 171
  • Computational Theory and Mathematics 2.9k
  • Geometry and Topology 777
  • Spectroscopy 925
  • Organic Chemistry 1.6k
  • Physical and Theoretical Chemistry 254
Replace Lowell H. Hall with:
Lowell H. Hall United States
Andrey A. Toropov Italy
Lemont B. Kier United States
Jorge Gálvez Spain
Peter C. Jurs United States
Victor S. Lobanov United States
Danail Bonchev United States
Christoph Rücker Germany
Viviana Consonni Italy
Mati Karelson Estonia
Subhash C. Basak relative to Lowell H. Hall United States Lowell H. Hall's profile →
Citations per field
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Lowell H. Hall · 1×
Citations per year

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Subhash C. Basak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Subhash C. Basak Line = papers co-authored together Subhash C. Basak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessing Model Fit by Cross-Validation
Hit paper breakdown →
2003598
2 1988127
3 200199
4 200699
5 200194
6 198790
7 200186
8 200086
9 198485
10 199180
11
Use of molecular complexity indices in predictive pharmacology and toxicology: A QSAR approach
198776
12 199774
13 199469
14 200068
15 200066
16 199662
17 199061
18 199959
19 199957
20 200157

About Subhash C. Basak

Subhash C. Basak is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Biology, Spectroscopy and Geometry and Topology, having authored 207 papers that have together received 4.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (135 papers), Free Radicals and Antioxidants (42 papers), Analytical Chemistry and Chromatography (40 papers), Graph theory and applications (23 papers), Machine Learning in Bioinformatics (21 papers), Fractal and DNA sequence analysis (18 papers), Cholinesterase and Neurodegenerative Diseases (14 papers) and Protein Structure and Dynamics (13 papers). The work is most often cited by research in Computational Theory and Mathematics (2.9k citations), Geometry and Topology (777 citations), Spectroscopy (925 citations), Organic Chemistry (1.6k citations) and Physical and Theoretical Chemistry (254 citations). Subhash C. Basak has collaborated with scholars based in United States, Slovenia and India. Frequent co-authors include Denise Mills, Douglas M. Hawkins, Brian D. Gute, Gregory D. Grunwald, Milan Randić, Gerald J. Niemi, Vincent R. Magnuson, Alexandrù T. Balaban, Ashesh Nandy and Gilman D. Veith. Their work appears in journals such as SAR and QSAR in environmental research, Journal of Chemical Information and Modeling, Environmental Toxicology and Chemistry, Environmental Toxicology and Pharmacology and Journal of Proteome Research.

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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