Greeshma Thrivikraman

2.4k citations
29 papers · 1.9k indexed · h-index 21

Greeshma Thrivikraman

28 papers receiving 1.9k citations

Peers

Greeshma Thrivikraman
Comparison fields: 5 of 115
  • Biomaterials 641
  • Biomedical Engineering 1.4k
  • Oral Surgery 124
  • Cellular and Molecular Neuroscience 302
  • Orthodontics 72
Replace Chiara Tonda‐Turo with:
Chiara Tonda‐Turo Italy
Amit Kumar Jaiswal India
Peiman Brouki Milan Iran
Carmen Giordano Italy
Donghyun Lee South Korea
Akbar Karkhaneh Iran
Xiaojun Yu United States
Patrícia Pranke Brazil
Parastoo Khoshakhlagh United States
Marco Antonio Álvarez-Pérez Mexico
Greeshma Thrivikraman relative to Chiara Tonda‐Turo Italy Chiara Tonda‐Turo's profile →
Citations per field
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Chiara Tonda‐Turo · 1×
Citations per year

Countries citing papers authored by Greeshma Thrivikraman

Since Specialization
Citations

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

Fields of papers citing papers by Greeshma Thrivikraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202138
2 202146
3 202120
4 202049
5 20207
6 201983
7 2019138
8 2017109
9 2017181
10 2017136
11 2017298
12 201562
13 201559
14 201536
15 20141
16 2014133
17 20142
18 201379
19 201286
20 201213

About Greeshma Thrivikraman

Greeshma Thrivikraman is a scholar working on Biomaterials, Biomedical Engineering and Complementary and Manual Therapy, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (15 papers), 3D Printing in Biomedical Research (10 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Neuroscience and Neural Engineering (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Planarian Biology and Electrostimulation (3 papers). The work is most often cited by research in Biomaterials (641 citations), Biomedical Engineering (1.4k citations) and Oral Surgery (124 citations). Greeshma Thrivikraman has collaborated with scholars based in India, United States and Brazil. Frequent co-authors include Bikramjit Basu, Sunil Kumar Boda, Giridhar Madras, Luiz E. Bertassoni, Avathamsa Athirasala, Bikramjit Basu, Cristiane Miranda França, Jack L. Ferracane, Anthony Tahayeri and Nélson Monteiro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

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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