Arup K. Ghose
- Molecular Biology top 2%
- Organic Chemistry top 0.5%
- Computational Theory and Mathematics top 0.05%
- Spectroscopy top 1%
- Oncology top 5%
- Co-authors
- Vellarkad N. ViswanadhanJohn J. WendoloskiGordon M. CrippenRoland K. RobinsGanapathi R. RevankarJohn P. MallamoTorsten HerbertzBruce D. Dorsey
- Topics
- Computational Drug Discovery Methods (17 papers)Synthesis and biological activity (7 papers)Cancer therapeutics and mechanisms (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyBiochemistry
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Arup K. Ghose
57 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 3.0k
- Organic Chemistry 2.8k
- Computational Theory and Mathematics 2.7k
- Spectroscopy 827
- Oncology 727
Countries citing papers authored by Arup K. Ghose
This map shows the geographic impact of Arup K. Ghose'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 Arup K. Ghose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arup K. Ghose more than expected).
Fields of papers citing papers by Arup K. Ghose
This network shows the impact of papers produced by Arup K. Ghose. 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 Arup K. Ghose. The network helps show where Arup K. Ghose may publish in the future.
Co-authorship network of co-authors of Arup K. Ghose
This figure shows the co-authorship network connecting the top 25 collaborators of Arup K. Ghose. A scholar is included among the top collaborators of Arup K. Ghose 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 Arup K. Ghose. Arup K. Ghose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 31 | |
| 3 | 27 | |
| 4 | 0 | |
| 5 | 79 | |
| 6 | 2 | |
| 7 | A Knowledge-Based Approach in Designing Combinatorial or Medicinal Chemistry Libraries for Drug Discovery. 1. A Qualitative and Quantitative Characterization of Known Drug Databasesbreakdown → | 2289 |
| 8 | Prediction of Hydrophobic (Lipophilic) Properties of Small Organic Molecules Using Fragmental Methods: An Analysis of ALOGP and CLOGP Methodsbreakdown → | 655 |
| 9 | 48 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 19 | |
| 13 | 31 | |
| 14 | 31 | |
| 15 | 17 | |
| 16 | Chemical radioprotection to bone marrow stem cells after whole body gamma irradiation to mice. | 2 |
| 17 | 42 | |
| 18 | 7 | |
| 19 | 21 | |
| 20 | 8 |
About Arup K. Ghose
Arup K. Ghose is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Anatomy, having authored 59 papers that have together received 7.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Synthesis and biological activity (7 papers) and Cancer therapeutics and mechanisms (6 papers). The work is most often cited by research in Computational Theory and Mathematics (2.7k citations), Organic Chemistry (2.8k citations) and Toxicology (234 citations). Arup K. Ghose has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Vellarkad N. Viswanadhan, John J. Wendoloski, Gordon M. Crippen, Roland K. Robins, Ganapathi R. Revankar, John P. Mallamo, Torsten Herbertz, Bruce D. Dorsey, Robert L. Hudkins and Joseph M. Salvino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Biochemistry.
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.