Priyanka Shaw

624 citations
14 papers · 493 indexed · h-index 11
Topics
Plasma Applications and Diagnostics (2 papers)Electrospun Nanofibers in Biomedical Applications (2 papers)Nanoplatforms for cancer theranostics (2 papers)
Partner nations
BelgiumIndiaSouth Korea

In The Last Decade

Priyanka Shaw

14 papers receiving 489 citations

Peers

Priyanka Shaw
Comparison fields: 5 of 95
  • Radiology, Nuclear Medicine and Imaging 189
  • Molecular Biology 120
  • Electrical and Electronic Engineering 96
  • Biomedical Engineering 71
  • Organic Chemistry 46
Replace Beate Haertel with:
Beate Haertel Germany
Assem Elkak Lebanon
Mayura Veerana South Korea
Pradeep Bhartiya South Korea
Seong Bong Kim South Korea
Nelson Santiago Vispo Ecuador
Bhawana Adhikari South Korea
Mohammed M. Al Qaraghuli United Kingdom
Miaomiao Tang China
Priyanka Shaw relative to Beate Haertel Germany Beate Haertel's profile →
Citations per field
00.5×3.1×
Beate Haertel · 1×
Citations per year

Countries citing papers authored by Priyanka Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Priyanka Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priyanka Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Shaw. A scholar is included among the top collaborators of Priyanka Shaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Priyanka Shaw. Priyanka Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 9
2 23
3 9
4 55
5 64
6 34
7 27
8 11
9 58
10 14
11 119
12 13
13 56
14
The effects of the nitric oxide-donors sodium nitroprusside (SNP) and S-nitrosoglutathione (GSNO) on rat ventrobasal thalamus neurones in vivo
1

About Priyanka Shaw

Priyanka Shaw is a scholar working on Toxicology, Biophysics and Biomaterials, having authored 14 papers that have together received 493 indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (189 citations), Biotechnology (41 citations) and Surfaces, Coatings and Films (24 citations). Priyanka Shaw has collaborated with scholars based in Belgium, India and South Korea. Frequent co-authors include Annemie Bogaerts, Naresh Kumar, Eun Ha Choi, Angela Privat‐Maldonado, Evelien Smits, Pankaj Attri, Han S. Uhm, Ji Hoon Park, Sylvia Dewilde and Maksudbek Yusupov. Their work appears in journals such as Scientific Reports, Free Radical Biology and Medicine and RSC Advances.

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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