Dhavan Sharma

863 citations
17 papers · 672 · h-index 10

Impact in

Papers in

    • Electrospun Nanofibers in Biomedical Applications 12
    • Tissue Engineering and Regenerative Medicine 10

Dhavan Sharma

16 papers receiving 667 citations

Peers

Dhavan Sharma
Comparison fields: 5 of 80
  • Biomaterials 362
  • Rehabilitation 49
  • Biomedical Engineering 289
  • Surfaces, Coatings and Films 46
  • Surgery 287
Replace Mai T. Lam with:
Mai T. Lam United States
Maqsood Ahmed United Kingdom
Jonathan M. Grasman United States
Sílvia Vieira Portugal
Guoxin Tan China
Jung Ho Cho South Korea
Yi Sun Choi South Korea
Yunfan Kong United States
Thomas S. Wilems United States
Ho Pan Bei Hong Kong
Dhavan Sharma relative to Mai T. Lam United States Mai T. Lam's profile →
Citations per field
00.5×2.6×
Mai T. Lam · 1×
Citations per year

Countries citing papers authored by Dhavan Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Dhavan Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2018205
2 201996
3 201988
4 201969
5 201955
6 201937
7 202130
8 202330
9 202117
10 201913
11 20237
12 20216
13 20235
14 20235
15 20235
16 20214
17 20250

About Dhavan Sharma

Dhavan Sharma is a scholar working on Biomaterials, Surgery, Biomedical Engineering, Genetics and Molecular Biology, having authored 17 papers that have together received 672 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (12 papers), Tissue Engineering and Regenerative Medicine (10 papers), Mesenchymal stem cell research (4 papers), 3D Printing in Biomedical Research (4 papers), Wound Healing and Treatments (2 papers), Polymer Surface Interaction Studies (2 papers), Advanced Memory and Neural Computing (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Biomaterials (362 citations), Rehabilitation (49 citations), Biomedical Engineering (289 citations), Surfaces, Coatings and Films (46 citations) and Surgery (287 citations). Dhavan Sharma has collaborated with scholars based in United States. Frequent co-authors include Feng Zhao, Wenkai Jia, David Ross, Jeremy Goldman, Guifang Wang, Timothy J. Kamp, Sean J. Kirkpatrick, Guifang Wang, Archita Sharma and Zichen Qian. Their work appears in journals such as Advanced Healthcare Materials, Bioactive Materials, npj Regenerative Medicine, Journal of Tissue Engineering and Regenerative Medicine and Acta Biomaterialia.

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.

Explore authors with similar magnitude of impact