Vandana Panda

44 total papers · 1.4k total citations
35 papers, 1.1k citations indexed

About

Vandana Panda is a scholar working on Complementary and alternative medicine, Pathology and Forensic Medicine and Plant Science. According to data from OpenAlex, Vandana Panda has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Complementary and alternative medicine, 12 papers in Pathology and Forensic Medicine and 9 papers in Plant Science. Recurrent topics in Vandana Panda's work include Ginkgo biloba and Cashew Applications (9 papers), Natural Compound Pharmacology Studies (6 papers) and Drug-Induced Hepatotoxicity and Protection (5 papers). Vandana Panda is often cited by papers focused on Ginkgo biloba and Cashew Applications (9 papers), Natural Compound Pharmacology Studies (6 papers) and Drug-Induced Hepatotoxicity and Protection (5 papers). Vandana Panda collaborates with scholars based in India, United States and Taiwan. Vandana Panda's co-authors include Suresh R. Naik, Chakradhar V. Lagishetty, Mukesh Nandave, Ankit P. Laddha, Sachin Patil, Shreesh Ojha, Ajay Semalty, Mona Semalty, Pankaj Gupta and Vishnu N. Thakare and has published in prestigious journals such as Appetite, Oxidative Medicine and Cellular Longevity and Phytotherapy Research.

In The Last Decade

Vandana Panda

35 papers receiving 987 citations

Author Peers

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

Author Last Decade Papers Cites
Vandana Panda 287 250 249 228 213 35 1.1k
Mallika Jainu 267 0.9× 331 1.3× 318 1.3× 295 1.3× 360 1.7× 40 1.3k
Venkatesh Ponemone 319 1.1× 272 1.1× 210 0.8× 273 1.2× 312 1.5× 45 1.4k
Agadi Hiremath Viswanatha Swamy 177 0.6× 237 0.9× 125 0.5× 203 0.9× 244 1.1× 36 946
Abdellatif Settaf 492 1.7× 271 1.1× 183 0.7× 303 1.3× 230 1.1× 33 1.2k
Umesh B. Mahajan 350 1.2× 220 0.9× 109 0.4× 415 1.8× 190 0.9× 41 1.4k
P. Viswanathan 141 0.5× 269 1.1× 359 1.4× 377 1.7× 204 1.0× 40 1.4k
Chinnadurai Veeramani 123 0.4× 229 0.9× 294 1.2× 272 1.2× 210 1.0× 43 1.1k
Raosaheb K. Kale 154 0.5× 160 0.6× 252 1.0× 456 2.0× 244 1.1× 34 1.5k
Shehwaz Anwar 135 0.5× 159 0.6× 192 0.8× 260 1.1× 173 0.8× 32 985
Shreya Maulik 287 1.0× 193 0.8× 121 0.5× 253 1.1× 626 2.9× 27 1.2k

Countries citing papers authored by Vandana Panda

Since Specialization
Citations

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

Fields of papers citing papers by Vandana Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vandana Panda

This figure shows the co-authorship network connecting the top 25 collaborators of Vandana Panda. A scholar is included among the top collaborators of Vandana Panda 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 Vandana Panda. Vandana Panda 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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2026