Pallavi Sethi

20 total papers · 2.4k total citations
17 papers, 1.7k citations indexed

About

Pallavi Sethi is a scholar working on Biomedical Engineering, Molecular Biology and Plant Science. According to data from OpenAlex, Pallavi Sethi has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Pallavi Sethi's work include Aluminum toxicity and tolerance in plants and animals (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Curcumin's Biomedical Applications (3 papers). Pallavi Sethi is often cited by papers focused on Aluminum toxicity and tolerance in plants and animals (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Curcumin's Biomedical Applications (3 papers). Pallavi Sethi collaborates with scholars based in India, United States and Pakistan. Pallavi Sethi's co-authors include Smruti R. Sarangi, Amar Jyoti, Deepak Sharma, Meenakshi Upreti, Ejaz Hussain, Rameshwar Singh, Ryan Chan, Ronald C. McGarry, J. Zach Hilt and Susanne M. Arnold and has published in prestigious journals such as Biomaterials, Cancer Research and Scientific Reports.

In The Last Decade

Pallavi Sethi

17 papers receiving 1.6k citations

Hit Papers

Internet of Things: Archi... 2017 2026 2020 2023 2017 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Pallavi Sethi 696 320 258 220 205 17 1.7k
Dilip Kumar Sharma 458 0.7× 269 0.8× 416 1.6× 138 0.6× 94 0.5× 106 2.0k
Jawaid Iqbal 279 0.4× 176 0.6× 252 1.0× 116 0.5× 52 0.3× 84 1.5k
Muhammad Shoaib Siddiqui 313 0.4× 99 0.3× 239 0.9× 49 0.2× 179 0.9× 69 1.4k
Dan Chen 309 0.4× 177 0.6× 115 0.4× 142 0.6× 57 0.3× 105 1.4k
Hao Ran 425 0.6× 428 1.3× 137 0.5× 156 0.7× 24 0.1× 86 1.5k
Woong Cho 496 0.7× 713 2.2× 150 0.6× 230 1.0× 79 0.4× 114 1.9k
Hongju Cheng 521 0.7× 258 0.8× 141 0.5× 66 0.3× 24 0.1× 74 1.3k
Md. Saiful Islam 281 0.4× 169 0.5× 155 0.6× 208 0.9× 39 0.2× 110 1.8k
Sung‐Young Lee 486 0.7× 646 2.0× 254 1.0× 288 1.3× 39 0.2× 69 2.0k
Fan Wang 243 0.3× 200 0.6× 314 1.2× 94 0.4× 155 0.8× 80 1.6k

Countries citing papers authored by Pallavi Sethi

Since Specialization
Citations

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

Fields of papers citing papers by Pallavi Sethi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pallavi Sethi

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