Asha Shekaran

1.7k citations
12 papers · 1.3k · h-index 11

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Supramolecular Self-Assembly in Materials
    • Cell Adhesion Molecules Research

Papers in

    • Bone Tissue Engineering Materials 7
    • 3D Printing in Biomedical Research 3
    • Supramolecular Self-Assembly in Materials 2
    • Silk-based biomaterials and applications 2

Asha Shekaran

12 papers receiving 1.3k citations

Peers

Asha Shekaran
Comparison fields: 5 of 86
  • Biomaterials 431
  • Immunology and Allergy 159
  • Molecular Medicine 93
  • Cell Biology 285
  • Biomedical Engineering 751
Replace José R. García with:
José R. García United States
Federico Tortelli Italy
Vincent F. Fiore United States
Andrés J. Garcı́a United States
Daniel G.T. Strange United Kingdom
Vanessa L.S. LaPointe Netherlands
Prakriti Tayalia India
Stephanie Moeller Germany
Marco Cantini United Kingdom
George S. Hussey United States
Asha Shekaran relative to José R. García United States José R. García's profile →
Citations per field
00.5×1.5×1.9×
José R. García · 1×
Citations per year

Countries citing papers authored by Asha Shekaran

Since Specialization
Citations

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

Fields of papers citing papers by Asha Shekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2014335
2 2010177
3 2009177
4 2014151
5 2013143
6 2008100
7 201092
8 201654
9 201547
10 201439
11 201917
12 20141

About Asha Shekaran

Asha Shekaran is a scholar working on Biomedical Engineering, Biomaterials, Surgery, Genetics and Immunology and Allergy, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (7 papers), Mesenchymal stem cell research (3 papers), Cell Adhesion Molecules Research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), 3D Printing in Biomedical Research (3 papers), Supramolecular Self-Assembly in Materials (2 papers), Silk-based biomaterials and applications (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Biomaterials (431 citations), Immunology and Allergy (159 citations), Molecular Medicine (93 citations), Cell Biology (285 citations) and Biomedical Engineering (751 citations). Asha Shekaran has collaborated with scholars based in United States, Singapore and Australia. Frequent co-authors include Andrés J. Garcı́a, José R. García, Robert E. Guldberg, Ted T. Lee, Edward A. Phelps, Julieta I. Paez, Simone Nardin Weis, Zahid Shafiq, Ankur Singh and Aránzazu del Campo. Their work appears in journals such as Cytotherapy, Biomaterials, Nature Nanotechnology, Biochimica et Biophysica Acta (BBA) - General Subjects and BMC Biotechnology.

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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