Niraj Sinha

2.7k citations
80 papers · 2.1k · h-index 21

Impact in

Papers in

    • Graphene and Nanomaterials Applications 16
    • Bone Tissue Engineering Materials 15
    • Nanotechnology research and applications 9
    • Graphene research and applications 18
    • Carbon Nanotubes in Composites 16

Niraj Sinha

76 papers receiving 2.0k citations

Peers

Niraj Sinha
Comparison fields: 5 of 134
  • Water Science and Technology 259
  • Materials Chemistry 853
  • Biomedical Engineering 793
  • Bioengineering 74
  • Biomaterials 156
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Citations per year

Countries citing papers authored by Niraj Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Niraj Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006366
2 2005304
3 1999266
4 2019117
5 201957
6 202156
7 202151
8 202149
9 202247
10 202045
11 201840
12 201138
13 201734
14 201033
15 200233
16 201530
17 201430
18 202226
19 201925
20 201725

About Niraj Sinha

Niraj Sinha is a scholar working on Biomedical Engineering, Materials Chemistry, Automotive Engineering, Radiology, Nuclear Medicine and Imaging and Mechanical Engineering, having authored 80 papers that have together received 2.1k indexed citations. Recurring topics across this work include Graphene research and applications (18 papers), Carbon Nanotubes in Composites (16 papers), Graphene and Nanomaterials Applications (16 papers), Bone Tissue Engineering Materials (15 papers), Additive Manufacturing and 3D Printing Technologies (12 papers), Nanotechnology research and applications (9 papers), Dental materials and restorations (7 papers) and MRI in cancer diagnosis (6 papers). The work is most often cited by research in Water Science and Technology (259 citations), Materials Chemistry (853 citations), Biomedical Engineering (793 citations), Bioengineering (74 citations) and Biomaterials (156 citations). Niraj Sinha has collaborated with scholars based in India, Canada and United States. Frequent co-authors include John T. W. Yeow, Raghubeer Singh Bangari, R.P. Chhabra, Anshul Yadav, Ankit Bansal, Jayant K. Singh, Anup Singh, Shreyas S. Dindorkar, Roderick Melnik and D. Roy Mahapatra. Their work appears in journals such as Journal of Nanoscience and Nanotechnology, Colloids and Surfaces A Physicochemical and Engineering Aspects, IEEE Transactions on NanoBioscience, ACS Applied Bio Materials and Journal of Polymer Research.

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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