Jayakumar Rajadas

11.6k citations
249 papers · 8.7k · h-index 49

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 16
    • Protein Structure and Dynamics 14
    • Chemical Synthesis and Analysis 12
    • Supramolecular Self-Assembly in Materials 25
    • Electrospun Nanofibers in Biomedical Applications 23

Jayakumar Rajadas

245 papers receiving 8.5k citations

Peers

Jayakumar Rajadas
Comparison fields: 5 of 172
  • Biomaterials 2.1k
  • Rehabilitation 1.1k
  • Molecular Medicine 343
  • Cellular and Molecular Neuroscience 1.1k
  • Pharmaceutical Science 346
Replace Jian Xiao with:
Jian Xiao China
Yan Li China
Shabbir Moochhala Singapore
Xiaokun Li China
Yanfeng Wang China
Nguan Soon Tan Singapore
Jianhua Zhang China
Sashwati Roy United States
Yang Zhang China
Gianfranco Peluso Italy
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Citations per field
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Citations per year

Countries citing papers authored by Jayakumar Rajadas

Since Specialization
Citations

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

Fields of papers citing papers by Jayakumar Rajadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jayakumar Rajadas, 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 Jayakumar Rajadas Line = papers co-authored together Jayakumar Rajadas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 249 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003416
2 2005404
3 2010320
4 2011306
5 2015214
6 2012206
7 2013202
8 2014180
9 2013164
10 2009145
11 2003132
12 2014132
13 2010122
14 2008112
15 202197
16 201489
17 201188
18 201187
19 201186
20 201882

About Jayakumar Rajadas

Jayakumar Rajadas is a scholar working on Molecular Biology, Biomaterials, Physiology, Biomedical Engineering and Organic Chemistry, having authored 249 papers that have together received 8.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (38 papers), Supramolecular Self-Assembly in Materials (25 papers), Electrospun Nanofibers in Biomedical Applications (23 papers), Wound Healing and Treatments (21 papers), Lipid Membrane Structure and Behavior (16 papers), Protein Structure and Dynamics (14 papers), Surfactants and Colloidal Systems (14 papers) and Chemical Synthesis and Analysis (12 papers). The work is most often cited by research in Biomaterials (2.1k citations), Rehabilitation (1.1k citations), Molecular Medicine (343 citations), Cellular and Molecular Neuroscience (1.1k citations) and Pharmaceutical Science (346 citations). Jayakumar Rajadas has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Aaron Tan, M. Rafiuddin Ahmed, Mohammed Inayathullah, Alexander M. Seifalian, Gopinath Damodaran, Geoffrey C. Gurtner, K. Gomathi, Eric J. Bennett, Neil Bence and Ron R. Kopito. Their work appears in journals such as Biomaterials, Langmuir, PLoS ONE, Molecular and Cellular Biochemistry and Journal of the American College of Surgeons.

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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