M. Arockia Babu
- Molecular Biology
- Organic Chemistry
- Computational Theory and Mathematics top 10%
- Pharmacology
- Biomedical Engineering
- Co-authors
- Jitender MadanAnkit GuptaMonika ChaudharyAshish BaldiNeeraj KumarRamesh ChandraPhilip PrathipatiAnil K. Saxena
- Topics
- Synthesis and biological activity (13 papers)Computational Drug Discovery Methods (9 papers)Telomeres, Telomerase, and Senescence (5 papers)
- Partner nations
- IndiaSaudi ArabiaUnited Arab Emirates
In The Last Decade
M. Arockia Babu
48 papers receiving 375 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 135
- Organic Chemistry 129
- Computational Theory and Mathematics 72
- Pharmacology 60
- Biomedical Engineering 33
Countries citing papers authored by M. Arockia Babu
This map shows the geographic impact of M. Arockia Babu'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 M. Arockia Babu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Arockia Babu more than expected).
Fields of papers citing papers by M. Arockia Babu
This network shows the impact of papers produced by M. Arockia Babu. 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 M. Arockia Babu. The network helps show where M. Arockia Babu may publish in the future.
Co-authorship network of co-authors of M. Arockia Babu
This figure shows the co-authorship network connecting the top 25 collaborators of M. Arockia Babu. A scholar is included among the top collaborators of M. Arockia Babu 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 M. Arockia Babu. M. Arockia Babu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 19 | |
| 9 | 0 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | Recent Therapeutic Approaches For Management Of Alzheimer's Disease | 2 |
| 17 | VALSTAT: Validation program for quantitative structure activity relationship studies | 43 |
| 18 | 3D-QSAR CoMFA CoMSIA Studies On Indomethacin Derivatives As Selective Cyclooxygenase-2 Inhibitors | 2 |
| 19 | 3D-QSAR Analysis Of Substituted 1,3,4-Triaryl-3-Pyrrolin-2-Ones As Selective Cyclooxygenase-2-Inhibitors | 2 |
| 20 | A 3D-QSAR Study Of Some Substituted Napthols As 5-Lipoxygenase Inhibitors | 4 |
About M. Arockia Babu
M. Arockia Babu is a scholar working on Aging, Biological Psychiatry and Pharmaceutical Science, having authored 62 papers that have together received 404 indexed citations. Recurring topics across this work include Synthesis and biological activity (13 papers), Computational Drug Discovery Methods (9 papers) and Telomeres, Telomerase, and Senescence (5 papers). The work is most often cited by research in Molecular Medicine (28 citations), Computational Theory and Mathematics (72 citations) and Organic Chemistry (129 citations). M. Arockia Babu has collaborated with scholars based in India, Saudi Arabia and United Arab Emirates. Frequent co-authors include Jitender Madan, Ankit Gupta, Monika Chaudhary, Ashish Baldi, Neeraj Kumar, Ramesh Chandra, Philip Prathipati, Anil K. Saxena, Rakesh K. Sindhu and Pradeep Kumar. Their work appears in journals such as Frontiers in Immunology, Drug Discovery Today and Clinica Chimica Acta.
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.