Pallab Datta

5.7k citations
146 papers · 4.1k · h-index 35

Impact in

Papers in

    • 3D Printing in Biomedical Research 31
    • Bone Tissue Engineering Materials 23
    • Innovative Microfluidic and Catalytic Techniques Innovation 13
    • Electrospun Nanofibers in Biomedical Applications 17

Pallab Datta

140 papers receiving 4.1k citations

Peers

Pallab Datta
Comparison fields: 5 of 148
  • Biomaterials 1.0k
  • Automotive Engineering 818
  • Biomedical Engineering 2.4k
  • Rehabilitation 194
  • Molecular Medicine 126
Replace Xiaolin Cui with:
Xiaolin Cui China
Shi‐Bin Wang China
Yingjie Yu China
Hyun‐Wook Kang South Korea
Guosheng Tang China
Shinji Sakai Japan
Hon Fai Chan China
Yun‐Long Wu China
Jianglin Wang China
Vítor M. Gaspar Portugal
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Citations per field
00.5×3.4×
Xiaolin Cui · 1×
Citations per year

Countries citing papers authored by Pallab Datta

Since Specialization
Citations

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

Fields of papers citing papers by Pallab Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017344
2 2017232
3 2020231
4 2018182
5 2021136
6 2018122
7 2019101
8 201293
9 201189
10 202085
11 201784
12 202282
13 202076
14 201775
15 201870
16 201963
17 201862
18 201962
19 201757
20 201153

About Pallab Datta

Pallab Datta is a scholar working on Biomedical Engineering, Biomaterials, Materials Chemistry, Automotive Engineering and Surgery, having authored 146 papers that have together received 4.1k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (31 papers), Bone Tissue Engineering Materials (23 papers), Additive Manufacturing and 3D Printing Technologies (19 papers), Electrospun Nanofibers in Biomedical Applications (17 papers), Molecular Sensors and Ion Detection (14 papers), Innovative Microfluidic and Catalytic Techniques Innovation (13 papers), Luminescence and Fluorescent Materials (10 papers) and Advanced biosensing and bioanalysis techniques (8 papers). The work is most often cited by research in Biomaterials (1.0k citations), Automotive Engineering (818 citations), Biomedical Engineering (2.4k citations), Rehabilitation (194 citations) and Molecular Medicine (126 citations). Pallab Datta has collaborated with scholars based in India, United States and Russia. Frequent co-authors include İbrahim T. Özbolat, Bugra Ayan, Veli Özbolat, Santanu Dhara, Amit Roy Chowdhury, Ananya Barui, Aritri Ghosh, Madhuri Dey, Yang Wu and Kazim K. Moncal. Their work appears in journals such as New Journal of Chemistry, Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine, International Journal of Biological Macromolecules, Computer Networks and ACS Applied Bio Materials.

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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