Ramya Kumar

942 citations
26 papers · 722 · 1 hit paper · h-index 12

Impact in

Papers in

Ramya Kumar

23 papers receiving 709 citations

Ramya Kumar's Hit Papers

Polymeric Delivery of Therapeutic Nucleic Acids 2021 · 278 citations
2780+1+3Years since publication50100150200250

Peers

Ramya Kumar
Comparison fields: 5 of 81
  • Surfaces, Coatings and Films 67
  • Biomaterials 124
  • Molecular Biology 445
  • Biomedical Engineering 165
  • Genetics 99
Replace Julie Shi with:
Julie Shi United States
Rishad J. Dalal United States
Svetlana Harbaugh United States
Joan G. Schellinger United States
Qing-Hui Zhou United States
Shigehito Osawa Japan
Heng Phon Too Singapore
Yizhi Qi United States
Jae-Hyeok Choi Singapore
Vincent Darras Canada
Ramya Kumar relative to Julie Shi United States Julie Shi's profile →
Citations per field
00.5×10×17.4×
Julie Shi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ramya Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ramya Kumar Line = papers co-authored together Ramya Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Polymeric Delivery of Therapeutic Nucleic Acids
Hit paper breakdown →
2021278
2 202099
3 201952
4 202148
5 202246
6 202431
7 200329
8 201429
9 201814
10 201713
11 201613
12 202212
13 20189
14 19889
15 20179
16 20247
17 20246
18 20214
19 20184
20 19893

About Ramya Kumar

Ramya Kumar is a scholar working on Molecular Biology, Biomedical Engineering, Surfaces, Coatings and Films, Genetics and Organic Chemistry, having authored 26 papers that have together received 722 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (7 papers), Polymer Surface Interaction Studies (6 papers), Virus-based gene therapy research (5 papers), 3D Printing in Biomedical Research (3 papers), Advanced Polymer Synthesis and Characterization (2 papers), Liquid Crystal Research Advancements (2 papers) and Surface Modification and Superhydrophobicity (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (67 citations), Biomaterials (124 citations), Molecular Biology (445 citations), Biomedical Engineering (165 citations) and Genetics (99 citations). Ramya Kumar has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Theresa M. Reineke, Rishad J. Dalal, Mary E. Brown, Matthew R. Bockman, Christian J. Grimme, Joseph K. Hexum, Mckenna G. Hanson, Cristiam F. Santa Chalarca, Craig Van Bruggen and Ngoc Le. Their work appears in journals such as ACS Applied Materials & Interfaces, Macromolecules, ACS Nano, NeuroMolecular Medicine and Chemical Reviews.

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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