Shanka Walia

24 total papers · 453 total citations
14 papers, 303 citations indexed

About

Shanka Walia is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Shanka Walia has authored 14 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Materials Chemistry. Recurrent topics in Shanka Walia's work include Advanced biosensing and bioanalysis techniques (6 papers), RNA Interference and Gene Delivery (3 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). Shanka Walia is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), RNA Interference and Gene Delivery (3 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). Shanka Walia collaborates with scholars based in India and United States. Shanka Walia's co-authors include Amitabha Acharya, Dhiraj Bhatia, Vinod Morya, Chinmay Ghoroi, Biman B. Mandal, Arun Richard Chandrasekaran, Banani Chakraborty, Ramesh Singh, Vivekshinh Kshtriya and Vikram Patial and has published in prestigious journals such as International Journal of Pharmaceutics, International Journal of Biological Macromolecules and ACS Sustainable Chemistry & Engineering.

In The Last Decade

Shanka Walia

14 papers receiving 302 citations

Author Peers

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

Author						Papers	Cites
Shanka Walia	160	113	96	66	20	14	303
Colin J. Moore	89 0.6×	163 1.4×	101 1.1×	74 1.1×	23 1.1×	10	335
Emily J. Guggenheim	69 0.4×	124 1.1×	102 1.1×	77 1.2×	9 0.5×	14	298
Romaric Bonnet	217 1.4×	89 0.8×	81 0.8×	43 0.7×	30 1.5×	8	356
Konstantin G. Shevchenko	134 0.8×	70 0.6×	137 1.4×	81 1.2×	14 0.7×	16	329
Rickard Frost	141 0.9×	128 1.1×	205 2.1×	87 1.3×	35 1.8×	13	344
Kuheli Mandal	73 0.5×	174 1.5×	123 1.3×	92 1.4×	21 1.1×	9	326
Kelly Rees	142 0.9×	237 2.1×	126 1.3×	38 0.6×	35 1.8×	11	349
Hongyan Zhu	64 0.4×	133 1.2×	124 1.3×	103 1.6×	14 0.7×	17	356
Leisha M. Armijo	98 0.6×	102 0.9×	80 0.8×	80 1.2×	11 0.6×	16	360
Veronica Collico	101 0.6×	187 1.7×	94 1.0×	80 1.2×	18 0.9×	14	362

Countries citing papers authored by Shanka Walia

Since Specialization

Citations

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

Fields of papers citing papers by Shanka Walia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanka Walia

This figure shows the co-authorship network connecting the top 25 collaborators of Shanka Walia. A scholar is included among the top collaborators of Shanka Walia 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 Shanka Walia. Shanka Walia 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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