Latha Narayanan

2.4k total citations
64 papers, 1.9k citations indexed

About

Latha Narayanan is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Latha Narayanan has authored 64 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 14 papers in Pathology and Forensic Medicine and 9 papers in Computational Theory and Mathematics. Recurrent topics in Latha Narayanan's work include Genetic factors in colorectal cancer (14 papers), DNA Repair Mechanisms (9 papers) and Computational Drug Discovery Methods (9 papers). Latha Narayanan is often cited by papers focused on Genetic factors in colorectal cancer (14 papers), DNA Repair Mechanisms (9 papers) and Computational Drug Discovery Methods (9 papers). Latha Narayanan collaborates with scholars based in United States, India and Canada. Latha Narayanan's co-authors include Peter M. Glazer, Sara Rockwell, R. Michael Liskay, Karen M. Vásquez, Jianling Yuan, Sean M. Baker, Nidhi Jatana, Ryan B. Jensen, Randall S. Johnson and Frank J. Giordano and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Latha Narayanan

60 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Latha Narayanan United States 23 1.2k 593 450 257 166 64 1.9k
Zhen Guo China 28 2.0k 1.7× 770 1.3× 112 0.2× 310 1.2× 161 1.0× 99 3.1k
José L. McFaline‐Figueroa United States 21 3.0k 2.6× 610 1.0× 115 0.3× 450 1.8× 310 1.9× 31 3.9k
Verónica Dávalos Spain 25 2.2k 1.9× 1.3k 2.2× 188 0.4× 424 1.6× 103 0.6× 42 2.8k
Barbara Benassi Italy 25 1.2k 1.1× 259 0.4× 71 0.2× 364 1.4× 93 0.6× 67 1.9k
Haiyan Zhu China 30 1.3k 1.1× 547 0.9× 124 0.3× 436 1.7× 157 0.9× 144 3.0k
Xufeng Chen China 22 1.2k 1.0× 407 0.7× 66 0.1× 330 1.3× 81 0.5× 79 1.8k
Weiguo Chen China 28 792 0.7× 734 1.2× 252 0.6× 604 2.4× 92 0.6× 168 2.3k
Yuji Zhang United States 25 1.1k 1.0× 273 0.5× 104 0.2× 195 0.8× 246 1.5× 119 2.1k
Chi‐Yuan Chen Taiwan 30 1.2k 1.1× 350 0.6× 67 0.1× 230 0.9× 260 1.6× 82 2.1k

Countries citing papers authored by Latha Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Latha Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Latha Narayanan

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

All Works

20 of 20 papers shown
1.
Narayanan, Latha, et al.. (2024). Perspectives on local thermal non-equilibrium (LTNE) Darcy–Bénard convection: Variable permeability and viscosity effects. Physics of Fluids. 36(10). 1 indexed citations
2.
Narayanan, Latha, et al.. (2024). In silico design of multi-epitope-based vaccine for feverfew allergy. Journal of Proteins and Proteomics. 15(2). 187–196.
3.
4.
Srinivasan, S., et al.. (2023). Cloud Server Based Intelligent Health Care Kit using Body Sensor Network. 11. 323–327. 13 indexed citations
5.
Harshman, Sean W., Kraig E. Strayer, Rhonda L. Pitsch, et al.. (2020). Rate normalization for sweat metabolomics biomarker discovery. Talanta. 223(Pt 1). 121797–121797. 20 indexed citations
6.
Narayanan, Latha, et al.. (2018). Drug Target Prioritization for Alzheimer's Disease Using Protein Interaction Network Analysis. OMICS A Journal of Integrative Biology. 22(10). 665–677. 9 indexed citations
7.
Narayanan, Latha, et al.. (2017). Data on overlapping brain disorders and emerging drug targets in human Dopamine Receptors Interaction Network. Data in Brief. 12. 277–286. 2 indexed citations
8.
Narayanan, Latha, et al.. (2016). Investigating the structural impact of S311C mutation in DRD2 receptor by molecular dynamics & docking studies. Biochimie. 123. 52–64. 10 indexed citations
9.
McIntire, Lindsey K., et al.. (2015). Individual Differences in Biophysiological Toughness: Sustaining Working Memory During Physical Exhaustion. Military Medicine. 180(2). 230–236. 10 indexed citations
10.
Singh, Anil Kumar, Vinoth Rajendran, Prahlad C. Ghosh, et al.. (2015). Design, synthesis and biological evaluation of functionalized phthalimides: A new class of antimalarials and inhibitors of falcipain-2, a major hemoglobinase of malaria parasite. Bioorganic & Medicinal Chemistry. 23(8). 1817–1827. 38 indexed citations
11.
Jatana, Nidhi, Lipi Thukral, & Latha Narayanan. (2015). Structural signatures of DRD4 mutants revealed using molecular dynamics simulations: Implications for drug targeting. Journal of Molecular Modeling. 22(1). 14–14. 6 indexed citations
12.
Michealraj, Kulandaimanuvel Antony, Nidhi Jatana, Md. Jafurulla, et al.. (2014). Functional characterization of rare variants in human dopamine receptor D4 gene by genotype–phenotype correlations. Neuroscience. 262. 176–189. 4 indexed citations
13.
Jatana, Nidhi, et al.. (2014). Inhibitors of Catechol-O-methyltransferase in the Treatment of Neurological Disorders. Central Nervous System Agents in Medicinal Chemistry. 13(3). 166–194. 27 indexed citations
14.
15.
Mattie, David R., et al.. (2010). A 13-week nose-only inhalation toxicity study for perfluoro-n-butyl iodide (PFBI) in rats with recommended occupational exposure levels. Inhalation Toxicology. 22(10). 847–860. 2 indexed citations
16.
Hegan, Denise C., Latha Narayanan, Frank R. Jirik, et al.. (2006). Differing patterns of genetic instability in mice deficient in the mismatch repair genes Pms2, Mlh1, Msh2, Msh3 and Msh6. Carcinogenesis. 27(12). 2402–2408. 62 indexed citations
17.
Gibson, Shannon L., Latha Narayanan, Denise C. Hegan, et al.. (2006). Overexpression of the DNA mismatch repair factor, PMS2, confers hypermutability and DNA damage tolerance. Cancer Letters. 244(2). 195–202. 33 indexed citations
18.
Fisher, Jeffrey W., et al.. (2000). PRELIMINARY DEVELOPMENT OF A PHYSIOLOGICAL MODEL FOR PERCHLORATE IN THE ADULT MALE RAT: A FRAMEWORK FOR FURTHER STUDIES. Drug and Chemical Toxicology. 23(1). 243–258. 35 indexed citations
19.
Narayanan, Latha, et al.. (1999). Sensitive high-performance liquid chromatography method for the simultaneous determination of low levels of dichloroacetic acid and its metabolites in blood and urine. Journal of Chromatography B Biomedical Sciences and Applications. 729(1-2). 271–277. 12 indexed citations
20.
Weitzhandler, Michael, Christopher A. Pohl, Jeffrey S. Rohrer, et al.. (1996). Eliminating Amino Acid and Peptide Interference in High-Performance Anion-Exchange Pulsed Amperometric Detection Glycoprotein Monosaccharide Analysis. Analytical Biochemistry. 241(1). 128–134. 24 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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