Kal Ramnarayan

400 total citations
10 papers, 190 citations indexed

About

Kal Ramnarayan is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Kal Ramnarayan has authored 10 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Virology. Recurrent topics in Kal Ramnarayan's work include HIV Research and Treatment (3 papers), Bacteriophages and microbial interactions (3 papers) and HIV/AIDS drug development and treatment (3 papers). Kal Ramnarayan is often cited by papers focused on HIV Research and Treatment (3 papers), Bacteriophages and microbial interactions (3 papers) and HIV/AIDS drug development and treatment (3 papers). Kal Ramnarayan collaborates with scholars based in United States and India. Kal Ramnarayan's co-authors include E Maggio, Mark D. Shenderovich, Jing Wang, Ron M. Kagan, Peter N.R. Heseltine, Christina R. Bourne, Richard A. Bunce, Baskar Nammalwar, William W. Barrow and Esther W. Barrow and has published in prestigious journals such as Trends in biotechnology, Protein Science and Drug Discovery Today.

In The Last Decade

Kal Ramnarayan

10 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kal Ramnarayan United States	9	110	69	53	39	27	10	190
Keun Woo Lee South Korea	10	263 2.4×	95 1.4×	66 1.2×	40 1.0×	28 1.0×	16	341
Darren W. Begley United States	11	234 2.1×	43 0.6×	18 0.3×	32 0.8×	32 1.2×	19	290
Jennifer Timm United States	13	183 1.7×	70 1.0×	16 0.3×	43 1.1×	36 1.3×	20	305
Vishal Prashar India	9	199 1.8×	245 3.6×	47 0.9×	73 1.9×	42 1.6×	22	439
Hideyoshi Fuji Japan	10	221 2.0×	58 0.8×	19 0.4×	83 2.1×	39 1.4×	15	387
Viviane M. Andrade United States	6	78 0.7×	65 0.9×	65 1.2×	17 0.4×	170 6.3×	9	312
Nancy Butkiewicz United States	14	131 1.2×	118 1.7×	23 0.4×	26 0.7×	99 3.7×	24	409
Francesca Moraca United States	10	90 0.8×	90 1.3×	89 1.7×	25 0.6×	94 3.5×	17	296
Pamela Berry United States	11	105 1.0×	63 0.9×	21 0.4×	14 0.4×	74 2.7×	14	274
Xiaoxiong Zhou China	10	185 1.7×	118 1.7×	29 0.5×	13 0.3×	83 3.1×	31	338

Countries citing papers authored by Kal Ramnarayan

Since Specialization

Citations

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

Fields of papers citing papers by Kal Ramnarayan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kal Ramnarayan

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

All Works

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10 of 10 papers shown

Bourne, Christina R., Baskar Nammalwar, Philip C. Bourne, et al.. (2012). Structure–activity relationship for enantiomers of potent inhibitors of B. anthracis dihydrofolate reductase. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(1). 46–52. 10 indexed citations

Nammalwar, Baskar, Christina R. Bourne, Richard A. Bunce, et al.. (2012). Inhibition of Bacterial Dihydrofolate Reductase by 6‐Alkyl‐2,4‐diaminopyrimidines. ChemMedChem. 7(11). 1974–1982. 12 indexed citations

Hwang, Jihwan, et al.. (2012). Structure-based design and screening of inhibitors for an essential bacterial GTPase, Der. The Journal of Antibiotics. 65(5). 237–243. 8 indexed citations

Kagan, Ron M., Mark D. Shenderovich, Peter N.R. Heseltine, & Kal Ramnarayan. (2005). Structural analysis of an HIV‐1 protease I47A mutant resistant to the protease inhibitor lopinavir. Protein Science. 14(7). 1870–1878. 34 indexed citations

Shenderovich, Mark D., Ron M. Kagan, Peter N.R. Heseltine, & Kal Ramnarayan. (2003). Structure‐based phenotyping predicts HIV‐1 protease inhibitor resistance. Protein Science. 12(8). 1706–1718. 28 indexed citations

Wang, Jing, S.L.-F. Chan, & Kal Ramnarayan. (2003). Structure-based prediction of free energy changes of binding of PTP1B inhibitors. Journal of Computer-Aided Molecular Design. 17(8). 495–513. 4 indexed citations

Maggio, E, et al.. (2002). Structural pharmacogenomics, drug resistance and the design of anti-infective super-drugs. Drug Discovery Today. 7(24). 1214–1220. 9 indexed citations

Maggio, E & Kal Ramnarayan. (2001). Recent developments in computational proteomics. Drug Discovery Today. 6(19). 996–1004. 13 indexed citations

Maggio, E & Kal Ramnarayan. (2001). Recent developments in computational proteomics. Trends in biotechnology. 19(7). 266–272. 36 indexed citations

10.

Wang, Jing & Kal Ramnarayan. (1999). Toward Designing Drug-Like Libraries: A Novel Computational Approach for Prediction of Drug Feasibility of Compounds. Journal of Combinatorial Chemistry. 1(6). 524–533. 36 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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