Ramya Kumar

905 total citations · 1 hit paper
26 papers, 679 citations indexed

About

Ramya Kumar is a scholar working on Molecular Biology, Biomedical Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, Ramya Kumar has authored 26 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Biomedical Engineering and 6 papers in Surfaces, Coatings and Films. Recurrent topics in Ramya Kumar's work include RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Polymer Surface Interaction Studies (6 papers). Ramya Kumar is often cited by papers focused on RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Polymer Surface Interaction Studies (6 papers). Ramya Kumar collaborates with scholars based in United States, Germany and India. Ramya Kumar's co-authors include Theresa M. Reineke, Rishad J. Dalal, Mary E. Brown, Matthew R. Bockman, Cristiam F. Santa Chalarca, Mckenna G. Hanson, Craig Van Bruggen, Joseph K. Hexum, Christian J. Grimme and Ngoc Le and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Ramya Kumar

23 papers receiving 667 citations

Hit Papers

Polymeric Delivery of Therapeutic Nucleic Acids 2021 2026 2022 2024 2021 50 100 150 200 250
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.

  1. Polymeric Delivery of Therapeutic Nucleic Acids
    2021 259 citations Ramya Kumar, Cristiam F. Santa Chalarca et al. Chemical Reviews profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramya Kumar United States 12 432 158 119 99 97 26 679
Cristiam F. Santa Chalarca United States 10 292 0.7× 98 0.6× 113 0.9× 76 0.8× 80 0.8× 15 515
Heng Phon Too Singapore 16 416 1.0× 110 0.7× 80 0.7× 107 1.1× 87 0.9× 24 636
Vincent Darras Canada 10 384 0.9× 97 0.6× 203 1.7× 72 0.7× 72 0.7× 12 648
Daoshu Lin China 10 361 0.8× 155 1.0× 200 1.7× 53 0.5× 67 0.7× 10 564
Rishad J. Dalal United States 6 351 0.8× 93 0.6× 103 0.9× 88 0.9× 74 0.8× 7 472
Julie Shi United States 14 570 1.3× 115 0.7× 184 1.5× 167 1.7× 87 0.9× 15 750
Qing-Hui Zhou United States 9 292 0.7× 111 0.7× 153 1.3× 60 0.6× 193 2.0× 9 550
Joseph R. Simon United States 7 373 0.9× 151 1.0× 255 2.1× 113 1.1× 35 0.4× 8 714
Seiji Takae Japan 6 361 0.8× 165 1.0× 291 2.4× 46 0.5× 174 1.8× 6 670
Xiaobei Huang China 14 160 0.4× 152 1.0× 132 1.1× 57 0.6× 52 0.5× 22 408

Countries citing papers authored by Ramya Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ramya Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramya Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ramya Kumar. A scholar is included among the top collaborators of Ramya Kumar 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 Ramya Kumar. Ramya Kumar 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.
Oviedo, Felipe, et al.. (2024). Synergistic Polymer Blending Informs Efficient Terpolymer Design and Machine Learning Discerns Performance Trends for pDNA Delivery. Bioconjugate Chemistry. 35(7). 897–911. 7 indexed citations
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Kumar, Ramya, Wei‐Han Lin, Todd M. Boyce, et al.. (2024). Identification of a novel, MSC-induced macrophage subtype via single-cell sequencing: implications for intervertebral disc degeneration therapy. Frontiers in Cell and Developmental Biology. 11. 1286011–1286011.
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Kumar, Ramya, Cristiam F. Santa Chalarca, Matthew R. Bockman, et al.. (2021). Polymeric Delivery of Therapeutic Nucleic Acids. Chemical Reviews. 121(18). 11527–11652. 259 indexed citations breakdown →
7.
Dalal, Rishad J., et al.. (2021). Cationic Bottlebrush Polymers Outperform Linear Polycation Analogues for pDNA Delivery and Gene Expression. ACS Macro Letters. 10(7). 886–893. 48 indexed citations
8.
Bockman, Matthew R., Rishad J. Dalal, Ramya Kumar, & Theresa M. Reineke. (2021). Facile synthesis of GalNAc monomers and block polycations for hepatocyte gene delivery. Polymer Chemistry. 12(28). 4063–4071. 4 indexed citations
9.
Tan, Zhe, Yaming Jiang, Mitra S. Ganewatta, et al.. (2019). Block Polymer Micelles Enable CRISPR/Cas9 Ribonucleoprotein Delivery: Physicochemical Properties Affect Packaging Mechanisms and Gene Editing Efficiency. Macromolecules. 52(21). 8197–8206. 51 indexed citations
10.
Kirschen, Gregory W., Hanxiao Liu, Liang Chen, et al.. (2018). Genetic dissection of the neuro-glio-vascular machinery in the adult brain. Molecular Brain. 11(1). 2–2. 3 indexed citations
11.
Kumar, Ramya, et al.. (2018). Carbohydrate‐Based Polymer Brushes Prevent Viral Adsorption on Electrostatically Heterogeneous Interfaces. Macromolecular Rapid Communications. 40(1). 9 indexed citations
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Koenig, Meike, et al.. (2017). pH‐Responsive Aminomethyl Functionalized Poly( p ‐xylylene) Coatings by Chemical Vapor Deposition Polymerization. Macromolecular Chemistry and Physics. 218(9). 1600521–1600521. 7 indexed citations
14.
Cheng, K., Ramya Kumar, Thomas W. Eyster, et al.. (2017). Polylutidines: Multifunctional Surfaces through Vapor‐Based Polymerization of Substituted Pyridinophanes. Chemistry - A European Journal. 23(54). 13342–13350. 13 indexed citations
15.
Kumar, Ramya & Joerg Lahann. (2016). Predictive Model for the Design of Zwitterionic Polymer Brushes: A Statistical Design of Experiments Approach. ACS Applied Materials & Interfaces. 8(26). 16595–16603. 13 indexed citations
16.
Qian, Xu, Luis G. Villa‐Diaz, Ramya Kumar, Joerg Lahann, & Paul H. Krebsbach. (2014). Enhancement of the propagation of human embryonic stem cells by modifications in the gel architecture of PMEDSAH polymer coatings. Biomaterials. 35(36). 9581–9590. 27 indexed citations
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Kumar, Jayant, et al.. (1990). Organic Molecular System For Nonlinear Optics. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1147. 177–177. 1 indexed citations
19.
Kumar, Ramya, et al.. (1989). Monolayer formation characteristics of novel organic molecules with non-linear optically active moieties. Thin Solid Films. 178(1-2). 243–251. 3 indexed citations
20.
Kumar, Ramya, S. B. Clough, & A. Blumstein. (1988). Molecular Mass and Structure Dependence of Liquid Crystalline Properties for a Homologous Series of Polyesters. Molecular Crystals and Liquid Crystals Incorporating Nonlinear Optics. 157(1). 387–408. 7 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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