Sujay Prabakar

1.6k citations
40 papers · 1.3k · h-index 18

Impact in

    • Collagen: Extraction and Characterization
    • 3D Printing in Biomedical Research
    • Bone Tissue Engineering Materials
    • Nanowire Synthesis and Applications

Papers in

Sujay Prabakar

38 papers receiving 1.3k citations

Peers

Sujay Prabakar
Comparison fields: 5 of 107
  • Biomaterials 370
  • Biomedical Engineering 636
  • Automotive Engineering 162
  • Materials Chemistry 567
  • Molecular Medicine 40
Replace Pengchao Liu with:
Pengchao Liu China
Govinda Kapusetti India
Mohammad Sadegh Nourbakhsh Iran
Anastasia Terzopoulou Switzerland
Yuqing Dong China
Jennifer M. Knipe United States
Yuto Shimoyama Japan
Sha Jin China
Pei Liu China
Giovanni Perotto Italy
Sujay Prabakar relative to Pengchao Liu China Pengchao Liu's profile →
Citations per field
00.5×2.6×
Pengchao Liu · 1×
Citations per year

Countries citing papers authored by Sujay Prabakar

Since Specialization
Citations

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

Fields of papers citing papers by Sujay Prabakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016288
2 2009209
3 2011105
4 200996
5 201154
6 200949
7 201647
8 201645
9 201842
10 201140
11 202239
12 202034
13 202131
14 201231
15 201830
16 201725
17 201721
18 202218
19 202313
20 201613

About Sujay Prabakar

Sujay Prabakar is a scholar working on Biomaterials, Biomedical Engineering, Materials Chemistry, Molecular Biology and Archeology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Collagen: Extraction and Characterization (20 papers), Bone Tissue Engineering Materials (10 papers), Cultural Heritage Materials Analysis (7 papers), Quantum Dots Synthesis And Properties (5 papers), Bone and Dental Protein Studies (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Iron oxide chemistry and applications (3 papers) and Protein Hydrolysis and Bioactive Peptides (3 papers). The work is most often cited by research in Biomaterials (370 citations), Biomedical Engineering (636 citations), Automotive Engineering (162 citations), Materials Chemistry (567 citations) and Molecular Medicine (40 citations). Sujay Prabakar has collaborated with scholars based in New Zealand, Taiwan and Australia. Frequent co-authors include Richard D. Tilley, Amane Shiohara, Yi Zhang, Kouki Fujioka, Kenji Yamamoto, Sanshiro Hanada, Benjamin S. Schon, Naveen Vijayan Mekhileri, Gary J. Hooper and Gabriella C. J. Brown. Their work appears in journals such as Chemistry of Materials, Chemical Communications, ChemPlusChem, Biomacromolecules and ACS Biomaterials Science & Engineering.

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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