Raghuvaran Narayanan

733 total citations
8 papers, 593 citations indexed

About

Raghuvaran Narayanan is a scholar working on Molecular Biology, Genetics and Biomaterials. According to data from OpenAlex, Raghuvaran Narayanan has authored 8 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Biomaterials. Recurrent topics in Raghuvaran Narayanan's work include Extracellular vesicles in disease (3 papers), Mesenchymal stem cell research (3 papers) and MicroRNA in disease regulation (3 papers). Raghuvaran Narayanan is often cited by papers focused on Extracellular vesicles in disease (3 papers), Mesenchymal stem cell research (3 papers) and MicroRNA in disease regulation (3 papers). Raghuvaran Narayanan collaborates with scholars based in United States. Raghuvaran Narayanan's co-authors include Sriram Ravindran, Chun-Chieh Huang, Satish Alapati, Michael Boyle, Amelia Bartholomew, Premanand Sundivakkam, Praveen Gajendrareddy, Lyndon F. Cooper, Miya Kang and Luisa A. DiPietro and has published in prestigious journals such as PLoS ONE, Biomaterials and Journal of Endodontics.

In The Last Decade

Raghuvaran Narayanan

8 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raghuvaran Narayanan United States 8 414 259 179 90 79 8 593
Ren Jie Jacob Chew Singapore 9 325 0.8× 179 0.7× 120 0.7× 75 0.8× 110 1.4× 20 543
Qilin Xu United States 9 303 0.7× 189 0.7× 206 1.2× 57 0.6× 54 0.7× 13 605
Jeeranan Manokawinchoke Thailand 16 352 0.9× 95 0.4× 169 0.9× 100 1.1× 106 1.3× 44 691
Cecilia Granéli Sweden 8 287 0.7× 114 0.4× 144 0.8× 55 0.6× 169 2.1× 10 581
Shuhong Kuang China 8 263 0.6× 105 0.4× 115 0.6× 66 0.7× 61 0.8× 11 531
Cathal O’Flatharta Ireland 10 255 0.6× 154 0.6× 147 0.8× 31 0.3× 80 1.0× 13 505
Miya Kang United States 11 474 1.1× 254 1.0× 124 0.7× 59 0.7× 136 1.7× 12 636
Soyoun Um South Korea 15 202 0.5× 93 0.4× 222 1.2× 117 1.3× 51 0.6× 22 504
Gokul Gopinathan United States 15 315 0.8× 91 0.4× 116 0.6× 222 2.5× 46 0.6× 23 635
Xuehui Wu China 12 200 0.5× 97 0.4× 111 0.6× 38 0.4× 122 1.5× 28 471

Countries citing papers authored by Raghuvaran Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Raghuvaran Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghuvaran Narayanan

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

All Works

8 of 8 papers shown
1.
Narayanan, Raghuvaran, Jihyun Kim, Muhammad Irfan, et al.. (2021). C5a complement receptor modulates odontogenic dental pulp stem cell differentiation under hypoxia. Connective Tissue Research. 63(4). 339–348. 10 indexed citations
2.
Huang, Chun-Chieh, Miya Kang, Raghuvaran Narayanan, et al.. (2020). Evaluating the Endocytosis and Lineage-Specification Properties of Mesenchymal Stem Cell Derived Extracellular Vesicles for Targeted Therapeutic Applications. Frontiers in Pharmacology. 11. 163–163. 28 indexed citations
3.
Narayanan, Raghuvaran, Satish Alapati, Fanny Chmilewsky, et al.. (2018). Poly(Adenosine Phosphate Ribose) Polymerase 1 Inhibition Enhances Brain-derived Neurotrophic Factor Secretion in Dental Pulp Stem Cell–derived Odontoblastlike Cells. Journal of Endodontics. 44(7). 1121–1125. 8 indexed citations
4.
Huang, Chun-Chieh, et al.. (2018). Dual ECM Biomimetic Scaffolds for Dental Pulp Regenerative Applications. Frontiers in Physiology. 9. 495–495. 29 indexed citations
5.
Huang, Chun-Chieh, Raghuvaran Narayanan, Satish Alapati, & Sriram Ravindran. (2016). Exosomes as biomimetic tools for stem cell differentiation: Applications in dental pulp tissue regeneration. Biomaterials. 111. 103–115. 250 indexed citations
6.
Narayanan, Raghuvaran, Chun-Chieh Huang, & Sriram Ravindran. (2016). Hijacking the Cellular Mail: Exosome Mediated Differentiation of Mesenchymal Stem Cells. Stem Cells International. 2016(1). 3808674–3808674. 207 indexed citations
7.
Ravindran, Sriram, Chun‐Chieh Huang, Praveen Gajendrareddy, & Raghuvaran Narayanan. (2015). Biomimetically enhanced demineralized bone matrix for bone regenerative applications. Frontiers in Physiology. 6. 292–292. 8 indexed citations
8.
Boyle, Michael, et al.. (2014). Chronic Inflammation and Angiogenic Signaling Axis Impairs Differentiation of Dental-Pulp Stem Cells. PLoS ONE. 9(11). e113419–e113419. 53 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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2026