M. Dhanasekaran

965 total citations
41 papers, 754 citations indexed

About

M. Dhanasekaran is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, M. Dhanasekaran has authored 41 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Genetics and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in M. Dhanasekaran's work include Mesenchymal stem cell research (11 papers), Neuropeptides and Animal Physiology (10 papers) and Chemical Synthesis and Analysis (9 papers). M. Dhanasekaran is often cited by papers focused on Mesenchymal stem cell research (11 papers), Neuropeptides and Animal Physiology (10 papers) and Chemical Synthesis and Analysis (9 papers). M. Dhanasekaran collaborates with scholars based in United States, India and Japan. M. Dhanasekaran's co-authors include Robin Polt, Indumathi Somasundaram, J. S. Rajkumar, D. Sudarsanam, Yukio Sugiura, Shigeru Negi, Paul W. Baures, Edward J. Bilsky, Victor J. Hruby and Scott E. VanCompernolle and has published in prestigious journals such as Journal of the American Chemical Society, Accounts of Chemical Research and Biochemistry.

In The Last Decade

M. Dhanasekaran

41 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Dhanasekaran United States 15 450 159 136 93 88 41 754
Elena Karnaukhova United States 19 430 1.0× 71 0.4× 77 0.6× 40 0.4× 50 0.6× 48 899
Gary F. Musso United States 10 660 1.5× 118 0.7× 99 0.7× 86 0.9× 36 0.4× 14 1.2k
Shad R. Eubanks United States 9 1.0k 2.3× 148 0.9× 72 0.5× 67 0.7× 34 0.4× 10 1.5k
Les P. Miranda United States 26 1.3k 2.9× 156 1.0× 223 1.6× 363 3.9× 49 0.6× 51 1.9k
Νicholas Barlow Australia 16 460 1.0× 102 0.6× 34 0.3× 94 1.0× 30 0.3× 29 942
Daniel Gygax Switzerland 16 657 1.5× 92 0.6× 19 0.1× 136 1.5× 44 0.5× 42 1.1k
Anna Łęgowska Poland 21 799 1.8× 121 0.8× 31 0.2× 145 1.6× 20 0.2× 73 1.2k
Paulo C. Almeida Brazil 11 291 0.6× 83 0.5× 81 0.6× 77 0.8× 19 0.2× 16 703
Mohamed Kodiha Canada 20 883 2.0× 40 0.3× 37 0.3× 21 0.2× 65 0.7× 42 1.2k
John DiMaio United States 20 927 2.1× 400 2.5× 44 0.3× 283 3.0× 63 0.7× 40 1.3k

Countries citing papers authored by M. Dhanasekaran

Since Specialization
Citations

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

Fields of papers citing papers by M. Dhanasekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Dhanasekaran

This figure shows the co-authorship network connecting the top 25 collaborators of M. Dhanasekaran. A scholar is included among the top collaborators of M. Dhanasekaran 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. Dhanasekaran. M. Dhanasekaran 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.
Knapp, Brian I., M. Dhanasekaran, Denise Giuvelis, et al.. (2014). Can Amphipathic Helices Influence the CNS Antinociceptive Activity of Glycopeptides Related to β-Endorphin?. Journal of Medicinal Chemistry. 57(6). 2237–2246. 12 indexed citations
2.
Somasundaram, Indumathi, et al.. (2013). Comparison of feto-maternal organ derived stem cells in facets of immunophenotype, proliferation and differentiation. Tissue and Cell. 45(6). 434–442. 18 indexed citations
3.
4.
Berry, Robert E., et al.. (2013). NMR investigations of nitrophorin 2 belt side chain effects on heme orientation and seating of native N-terminus NP2 and NP2(D1A). JBIC Journal of Biological Inorganic Chemistry. 19(4-5). 577–593. 4 indexed citations
5.
Somasundaram, Indumathi, et al.. (2013). Prospective biomarkers of stem cells of human endometrium and fallopian tube compared with bone marrow. Cell and Tissue Research. 352(3). 537–549. 13 indexed citations
6.
Dhanasekaran, M., et al.. (2013). Human omentum fat‐derived mesenchymal stem cells transdifferentiates into pancreatic islet‐like cluster. Cell Biochemistry and Function. 31(7). 612–619. 14 indexed citations
7.
Dhanasekaran, M., et al.. (2012). Plasticity and banking potential of cultured adipose tissue derived mesenchymal stem cells. Cell and Tissue Banking. 14(2). 303–315. 13 indexed citations
8.
Dhanasekaran, M., et al.. (2012). Surface antigenic profiling of stem cells from human omentum fat in comparison with subcutaneous fat and bone marrow. Cytotechnology. 64(5). 497–509. 19 indexed citations
9.
Berry, Robert E., et al.. (2012). Native N‐Terminus Nitrophorin 2 from the Kissing Bug: Similarities to and Differences from NP2(D1A). Chemistry & Biodiversity. 9(9). 1739–1755. 7 indexed citations
10.
Somasundaram, Indumathi, M. Dhanasekaran, J. S. Rajkumar, & D. Sudarsanam. (2012). Exploring the stem cell and non-stem cell constituents of human breast milk. Cytotechnology. 65(3). 385–393. 45 indexed citations
11.
Yeomans, Larisa, M. Dhanasekaran, John J. Lowery, et al.. (2011). Phosphorylation of Enkephalins: NMR and CD Studies in Aqueous and Membrane‐Mimicking Environments. Chemical Biology & Drug Design. 78(5). 749–756. 4 indexed citations
12.
Hruby, Victor J., et al.. (2011). Approaches to the rational design of selective melanocortin receptor antagonists. Expert Opinion on Drug Discovery. 6(5). 543–557. 11 indexed citations
13.
Negi, Shigeru, M. Dhanasekaran, Tsuyoshi Hirata, Hidehito Urata, & Yukio Sugiura. (2006). Biomolecular mirror‐image recognition: Reciprocal chiral‐specific DNA binding of synthetic enantiomers of zinc finger domain from GAGA factor. Chirality. 18(4). 254–258. 11 indexed citations
14.
Dhanasekaran, M. & Robin Polt. (2005). New Prospects for Glycopeptide Based Analgesia: Glycoside-Induced Penetration of the Blood-Brain Barrier. Current Drug Delivery. 2(1). 59–73. 30 indexed citations
15.
Polt, Robin, et al.. (2005). Glycosylated neuropeptides: A new vista for neuropsychopharmacology?. Medicinal Research Reviews. 25(5). 557–585. 69 indexed citations
16.
Dhanasekaran, M., et al.. (2004). Expected and unexpected results from combined β-hairpin design elements. Organic & Biomolecular Chemistry. 2(14). 2071–2082. 13 indexed citations
17.
Egleton, Richard D., Michael M. Palian, John J. Lowery, et al.. (2004). Antinociceptive Structure-Activity Studies with Enkephalin-Based Opioid Glycopeptides. Journal of Pharmacology and Experimental Therapeutics. 311(1). 290–297. 46 indexed citations
18.
VanCompernolle, Scott E., et al.. (2003). Small molecule inhibition of hepatitis C virus E2 binding to CD81. Virology. 314(1). 371–380. 52 indexed citations
19.
Dhanasekaran, M., Paul W. Baures, Om Prakash, Scott E. VanCompernolle, & Stephen Todd. (2003). Structural characterization of peptide fragments from hCD81–LEL. Journal of Peptide Research. 61(2). 80–89. 13 indexed citations
20.
Dhanasekaran, M., et al.. (2003). Mechanism‐based protein design: Attempted “nucleation–condensation” approach to a possible minimal helix‐bundle protein. Biopolymers. 70(3). 355–363. 4 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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