Ramaswamy Nilakantan

4.1k total citations · 1 hit paper
37 papers, 3.2k citations indexed

About

Ramaswamy Nilakantan is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Ramaswamy Nilakantan has authored 37 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Organic Chemistry and 13 papers in Computational Theory and Mathematics. Recurrent topics in Ramaswamy Nilakantan's work include Computational Drug Discovery Methods (13 papers), HER2/EGFR in Cancer Research (9 papers) and Quinazolinone synthesis and applications (8 papers). Ramaswamy Nilakantan is often cited by papers focused on Computational Drug Discovery Methods (13 papers), HER2/EGFR in Cancer Research (9 papers) and Quinazolinone synthesis and applications (8 papers). Ramaswamy Nilakantan collaborates with scholars based in United States, Canada and Switzerland. Ramaswamy Nilakantan's co-authors include Norman Bauman, R. Venkataraghavan, Allan Wissner, Jonathan S. Dixon, Ru Shen, Hwei‐Ru Tsou, Bernard D. Johnson, M. Brawner Floyd, Marvin F. Reich and Carolyn Discafani and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ramaswamy Nilakantan

37 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

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.

Antitumor Activity of HKI-272, an Orally Active, Irreversible Inhibitor of the HER-2 Tyrosine Kinase

2004 503 citations Sridhar K. Rabindran, Carolyn Discafani et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ramaswamy Nilakantan United States	25	1.7k	1.0k	1.0k	727	446	37	3.2k
Lisa M. Shewchuk United States	27	1.6k 1.0×	899 0.9×	690 0.7×	311 0.4×	349 0.8×	45	3.0k
Anne M. Hassell United States	21	1.6k 1.0×	1.0k 1.0×	585 0.6×	273 0.4×	331 0.7×	32	2.9k
Michel Vidal France	31	1.6k 0.9×	897 0.9×	571 0.6×	156 0.2×	465 1.0×	182	3.3k
Julian Blagg United Kingdom	30	1.8k 1.1×	567 0.5×	1.2k 1.1×	714 1.0×	161 0.4×	94	3.5k
Daniel Rauh Germany	47	3.8k 2.3×	1.2k 1.2×	2.5k 2.5×	841 1.2×	746 1.7×	156	7.3k
Roger J. Griffin United Kingdom	35	2.7k 1.6×	1.5k 1.5×	1.7k 1.7×	278 0.4×	258 0.6×	106	4.4k
Patrick P. Zarrinkar United States	21	3.4k 2.0×	725 0.7×	434 0.4×	804 1.1×	209 0.5×	34	5.0k
Toshimasa Tanaka Japan	27	1.3k 0.8×	450 0.4×	992 1.0×	327 0.4×	233 0.5×	59	2.6k
Joseph M. Salvino United States	34	2.3k 1.4×	691 0.7×	1.2k 1.2×	204 0.3×	198 0.4×	106	3.7k
Allan Wissner United States	26	1.9k 1.1×	1.9k 1.8×	1.5k 1.4×	227 0.3×	1.1k 2.5×	64	4.2k

Countries citing papers authored by Ramaswamy Nilakantan

Since Specialization

Citations

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

Fields of papers citing papers by Ramaswamy Nilakantan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramaswamy Nilakantan

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

All Works

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20 of 20 papers shown

Mobilio, Dominick, Gary Walker, Natasja Brooijmans, et al.. (2010). A Protein Relational Database and Protein Family Knowledge Bases to Facilitate Structure‐Based Design Analyses. Chemical Biology & Drug Design. 76(2). 142–153. 7 indexed citations

Brooijmans, Natasja, Dominick Mobilio, Gary Walker, et al.. (2009). A structural informatics approach to mine kinase knowledge bases. Drug Discovery Today. 15(5-6). 203–209. 7 indexed citations

Thompson, David C., R. Aldrin Denny, Ramaswamy Nilakantan, et al.. (2008). CONFIRM: connecting fragments found in receptor molecules. Journal of Computer-Aided Molecular Design. 22(10). 761–772. 29 indexed citations

Tsao, Désirée H.H., Alan G. Sutherland, Lee D. Jennings, et al.. (2006). Discovery of novel inhibitors of the ZipA/FtsZ complex by NMR fragment screening coupled with structure-based design. Bioorganic & Medicinal Chemistry. 14(23). 7953–7961. 71 indexed citations

Tsou, Hwei‐Ru, William Hallett, Marvin F. Reich, et al.. (2005). Optimization of 6,7-Disubstituted-4-(arylamino)quinoline-3-carbonitriles as Orally Active, Irreversible Inhibitors of Human Epidermal Growth Factor Receptor-2 Kinase Activity. Journal of Medicinal Chemistry. 48(4). 1107–1131. 246 indexed citations

Gilbert, A., Gary Stack, Ramaswamy Nilakantan, et al.. (2004). Modulation of Selective Serotonin Reuptake Inhibitor and 5‐HT_1A Antagonists Activity in 8‐Aza‐bicyclo[3.2.1]octane Derivatives of 2,3‐Dihydro‐1,4‐benzodioxane.. ChemInform. 35(16). 1 indexed citations

Wissner, Allan, Philip R. Hamann, Ramaswamy Nilakantan, et al.. (2004). Syntheses and EGFR kinase inhibitory activity of 6-substituted-4-anilino [1,7] and [1,8] naphthyridine-3-carbonitriles. Bioorganic & Medicinal Chemistry Letters. 14(6). 1411–1416. 18 indexed citations

Gilbert, A., Gary Stack, Ramaswamy Nilakantan, et al.. (2003). Modulation of selective serotonin reuptake inhibitor and 5-HT1A antagonist activity in 8-aza-bicyclo[3.2.1]octane derivatives of 2,3-dihydro-1,4-benzodioxane. Bioorganic & Medicinal Chemistry Letters. 14(2). 515–518. 11 indexed citations

Nilakantan, Ramaswamy & David S. Nunn. (2003). A fresh look at pharmaceutical screening library design. Drug Discovery Today. 8(15). 668–672. 12 indexed citations

10.

Wissner, Allan, Marvin F. Reich, M. Brawner Floyd, et al.. (2002). Synthesis and Structure−Activity Relationships of 6,7-Disubstituted 4-Anilinoquinoline-3-carbonitriles. The Design of an Orally Active, Irreversible Inhibitor of the Tyrosine Kinase Activity of the Epidermal Growth Factor Receptor (EGFR) and the Human Epidermal Growth Factor Receptor-2 (HER-2). Journal of Medicinal Chemistry. 46(1). 49–63. 212 indexed citations

11.

Nilakantan, Ramaswamy. (2002). A Novel Approach to Combinatorial Library Design. Combinatorial Chemistry & High Throughput Screening. 5(2). 105–10. 22 indexed citations

12.

Wissner, Allan, M. Brawner Floyd, Sridhar K. Rabindran, et al.. (2002). Syntheses and EGFR and HER-2 kinase inhibitory activities of 4-anilinoquinoline-3-carbonitriles: analogues of three important 4-anilinoquinazolines currently undergoing clinical evaluation as therapeutic antitumor agents. Bioorganic & Medicinal Chemistry Letters. 12(20). 2893–2897. 54 indexed citations

13.

Singh, Suresh B., Michael S. Malamas, Thomas C. Hohman, et al.. (2000). Molecular Modeling of the Aldose Reductase-Inhibitor Complex Based on the X-ray Crystal Structure and Studies with Single-Site-Directed Mutants. Journal of Medicinal Chemistry. 43(6). 1062–1070. 24 indexed citations

14.

Discafani, Carolyn, Marion L. Carroll, M. Brawner Floyd, et al.. (1999). Irreversible inhibition of epidermal growth factor receptor tyrosine kinase with In Vivo activity by N-[4-[(3-bromophenyl)amino]-6-quinazolinyl]-2-butynamide (CL-387,785). Biochemical Pharmacology. 57(8). 917–925. 84 indexed citations

15.

Nilakantan, Ramaswamy, et al.. (1997). Database diversity assessment: New ideas, concepts, and tools. Journal of Computer-Aided Molecular Design. 11(5). 447–452. 40 indexed citations

16.

Nilakantan, Ramaswamy, Norman Bauman, & R. Venkataraghavan. (1993). New method for rapid characterization of molecular shapes: applications in drug design. Journal of Chemical Information and Computer Sciences. 33(1). 79–85. 54 indexed citations

17.

Nilakantan, Ramaswamy, Norman Bauman, & R. Venkataraghavan. (1991). A method for automatic generation of novel chemical structures and its potential applications to drug discovery. Journal of Chemical Information and Computer Sciences. 31(4). 527–530. 17 indexed citations

18.

Zein, Nada, et al.. (1989). Calicheamicin γ ₁ ^I and DNA: Molecular Recognition Process Responsible for Site-Specificity. Science. 244(4905). 697–699. 192 indexed citations

19.

Sheridan, Robert P., et al.. (1989). 3DSEARCH: a system for three-dimensional substructure searching. Journal of Chemical Information and Computer Sciences. 29(4). 255–260. 57 indexed citations

20.

Nilakantan, Ramaswamy, Norman Bauman, Jonathan S. Dixon, & R. Venkataraghavan. (1987). Topological torsion: a new molecular descriptor for SAR applications. Comparison with other descriptors. Journal of Chemical Information and Computer Sciences. 27(2). 82–85. 232 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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