Tuli Dey

1.5k citations
33 papers · 1.2k · h-index 18

Impact in

Papers in

    • Bone Tissue Engineering Materials 9
    • 3D Printing in Biomedical Research 4
    • Silk-based biomaterials and applications 10
    • Electrospun Nanofibers in Biomedical Applications 3

Tuli Dey

31 papers receiving 1.1k citations

Peers

Tuli Dey
Comparison fields: 5 of 121
  • Computer Graphics and Computer-Aided Design 140
  • Biomaterials 491
  • Biomedical Engineering 511
  • Surfaces, Coatings and Films 79
  • Microbiology 56
Replace Chun‐Ho Kim with:
Chun‐Ho Kim South Korea
Eunah Kang South Korea
Hongbo Zhang China
Zongan Li China
Danqing Huang China
Nikola Kojić United States
Ting Nie China
Xiaoming Yu United States
Damien Loterie Switzerland
Tuli Dey relative to Chun‐Ho Kim South Korea Chun‐Ho Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tuli Dey

Since Specialization
Citations

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

Fields of papers citing papers by Tuli Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998137
2 2013113
3 2013100
4 201482
5 201074
6 201670
7 201569
8 201465
9 201057
10 201355
11 201752
12 201350
13 201449
14 202132
15 199829
16 201726
17 201021
18 201019
19 201115
20 201010

About Tuli Dey

Tuli Dey is a scholar working on Biomedical Engineering, Biomaterials, Molecular Biology, Cell Biology and Surgery, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (10 papers), Bone Tissue Engineering Materials (9 papers), 3D Printing in Biomedical Research (4 papers), Cellular Mechanics and Interactions (4 papers), Cancer Cells and Metastasis (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Parasitic Infections and Diagnostics (3 papers) and Amoebic Infections and Treatments (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (140 citations), Biomaterials (491 citations), Biomedical Engineering (511 citations), Surfaces, Coatings and Films (79 citations) and Microbiology (56 citations). Tuli Dey has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Subhas C. Kundu, Deboki Naskar, Nicholas E. Kurland, Vamsi K. Yadavalli, Sunita Nayak, Poulomi Roy, Patrik Schmuki, Ben Fabry, Subia Bano and Saroj Kumar Das. Their work appears in journals such as Scientific Reports, Advanced Biology, Discrete & Computational Geometry, Nanomedicine Nanotechnology Biology and Medicine and Integrative Biology.

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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