Priyanka Shaw

21 total papers · 612 total citations
14 papers, 489 citations indexed

About

Priyanka Shaw is a scholar working on Molecular Biology, Surgery and Pharmacology. According to data from OpenAlex, Priyanka Shaw has authored 14 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Pharmacology. Recurrent topics in Priyanka Shaw's work include Plasma Applications and Diagnostics (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Nanoplatforms for cancer theranostics (2 papers). Priyanka Shaw is often cited by papers focused on Plasma Applications and Diagnostics (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Nanoplatforms for cancer theranostics (2 papers). Priyanka Shaw collaborates with scholars based in Belgium, India and South Korea. Priyanka Shaw's co-authors include Annemie Bogaerts, Naresh Kumar, Eun Ha Choi, Angela Privat‐Maldonado, Evelien Smits, Han S. Uhm, Pankaj Attri, Ji Hoon Park, Sylvia Dewilde and Maksudbek Yusupov and has published in prestigious journals such as Scientific Reports, Free Radical Biology and Medicine and RSC Advances.

In The Last Decade

Priyanka Shaw

14 papers receiving 485 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Priyanka Shaw	184	120	96	71	46	14	489
Pradeep Bhartiya	169 0.9×	57 0.5×	104 1.1×	76 1.1×	10 0.2×	19	408
Michael Weitzhandler	103 0.6×	336 2.8×	26 0.3×	99 1.4×	62 1.3×	17	543
Markus Meusel	50 0.3×	294 2.5×	129 1.3×	175 2.5×	15 0.3×	22	499
Eva Hrabárová	51 0.3×	280 2.3×	23 0.2×	53 0.7×	69 1.5×	29	474
Qi Zhang	180 1.0×	313 2.6×	22 0.2×	138 1.9×	15 0.3×	24	550
Karl F. Schilke	74 0.4×	280 2.3×	20 0.2×	113 1.6×	67 1.5×	24	501
Adam Yost	424 2.3×	102 0.8×	162 1.7×	32 0.5×	9 0.2×	8	550
Anny Nguyen	44 0.2×	237 2.0×	80 0.8×	165 2.3×	35 0.8×	20	495
June‐Hyung Kim	39 0.2×	261 2.2×	86 0.9×	133 1.9×	19 0.4×	24	534
John S. Ayers	82 0.4×	324 2.7×	18 0.2×	57 0.8×	31 0.7×	10	539

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

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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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