Prabha D. Nair

1.9k citations
59 papers · 1.5k indexed · h-index 23
    • Electrospun Nanofibers in Biomedical Applications 19
    • Silk-based biomaterials and applications 6
    • biodegradable polymer synthesis and properties 6
  • Genetics top 5%
    • Mesenchymal stem cell research 8
  • Surgery top 5%
    • Tissue Engineering and Regenerative Medicine 9
    • Pancreatic function and diabetes 8
    • Bone Tissue Engineering Materials 15
    • Osteoarthritis Treatment and Mechanisms 8

Prabha D. Nair

59 papers receiving 1.5k citations

Peers

Prabha D. Nair
Comparison fields: 5 of 110
  • Biomaterials 576
  • Genetics 283
  • Molecular Medicine 105
  • Surgery 638
  • Biomedical Engineering 490
Replace Kazunori Masuoka with:
Kazunori Masuoka Japan
Denghui Xie China
Michael C. Hacker Germany
Isabel F. Amaral Portugal
Xiaobing Jin United States
Ana Rita Costa-Pinto Portugal
Kang Won Song South Korea
Meng Deng United States
Bogyu Choi South Korea
Prabha D. Nair relative to Kazunori Masuoka Japan Kazunori Masuoka's profile →
Citations per field
00.5×4.9×
Kazunori Masuoka · 1×
Citations per year

Countries citing papers authored by Prabha D. Nair

Since Specialization
Citations

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

Fields of papers citing papers by Prabha D. Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabha D. Nair. 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 Prabha D. Nair. The network helps show where Prabha D. Nair may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20226
2 20222
3 20214
4 202120
5 20208
6 202011
7 201926
8 201829
9 201514
10 201338
11 2011114
12 20113
13 201094
14 201045
15 201023
16 200912
17 200959
18 200824
19 19897
20 198821

About Prabha D. Nair

Prabha D. Nair is a scholar working on Biomaterials, Genetics and Oral Surgery, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (19 papers), Bone Tissue Engineering Materials (15 papers), Tissue Engineering and Regenerative Medicine (9 papers), Mesenchymal stem cell research (8 papers), Osteoarthritis Treatment and Mechanisms (8 papers), Pancreatic function and diabetes (8 papers), Silk-based biomaterials and applications (6 papers) and biodegradable polymer synthesis and properties (6 papers). The work is most often cited by research in Biomaterials (576 citations), Genetics (283 citations) and Molecular Medicine (105 citations). Prabha D. Nair has collaborated with scholars based in India, Denmark and Japan. Frequent co-authors include Lynda V. Thomas, Ramesh Bhonde, Neethu Mohan, Vikash Chandra, Smruti M. Phadnis, Sachin Kadam, Ramesh Bhonde, Bindu P. Nair, N.S. Remya and C. Radhakumary. Their work appears in journals such as PLoS ONE, Biomaterials and Carbohydrate Polymers.

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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