Priyanka Bapat

14 total papers · 904 total citations
6 papers, 752 citations indexed

About

Priyanka Bapat is a scholar working on Organic Chemistry, Physiology and Computer Networks and Communications. According to data from OpenAlex, Priyanka Bapat has authored 6 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Organic Chemistry, 2 papers in Physiology and 1 paper in Computer Networks and Communications. Recurrent topics in Priyanka Bapat's work include Adipose Tissue and Metabolism (2 papers), Synthesis and Characterization of Heterocyclic Compounds (1 paper) and Hand Gesture Recognition Systems (1 paper). Priyanka Bapat is often cited by papers focused on Adipose Tissue and Metabolism (2 papers), Synthesis and Characterization of Heterocyclic Compounds (1 paper) and Hand Gesture Recognition Systems (1 paper). Priyanka Bapat collaborates with scholars based in United States, South Korea and New Zealand. Priyanka Bapat's co-authors include Chwan‐Li Shen, Shu Wang, Naïma Moustaïd‐Moussa, Huanbiao Mo, Rui Su, Anuradha A. Shastri, Lixia Chen, In-Sook Kwun, Alice H. Lichtenstein and Dayong Wu and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Clinical Nutrition.

In The Last Decade

Priyanka Bapat

6 papers receiving 737 citations

Hit Papers

Novel insights of dietary... 2013 2026 2017 2021 2013 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Priyanka Bapat 232 214 212 167 128 6 752
Anuradha A. Shastri 246 1.1× 212 1.0× 263 1.2× 168 1.0× 135 1.1× 10 830
In-Sook Kwun 260 1.1× 230 1.1× 248 1.2× 180 1.1× 158 1.2× 10 908
Haing Woon Baik 164 0.7× 136 0.6× 400 1.9× 156 0.9× 172 1.3× 7 872
Ester Casanova 247 1.1× 180 0.8× 237 1.1× 131 0.8× 75 0.6× 14 688
Mónica Vázquez-Agell 139 0.6× 201 0.9× 135 0.6× 73 0.4× 165 1.3× 7 626
Yukari Akimoto 178 0.8× 241 1.1× 279 1.3× 186 1.1× 57 0.4× 11 846
Syeda T. Hasan 165 0.7× 141 0.7× 222 1.0× 141 0.8× 55 0.4× 6 682
Itziar Eseberri 222 1.0× 143 0.7× 215 1.0× 162 1.0× 105 0.8× 26 759
Jia‐Ching Wu 157 0.7× 177 0.8× 397 1.9× 109 0.7× 93 0.7× 19 844
Koichi Misawa 190 0.8× 126 0.6× 255 1.2× 106 0.6× 125 1.0× 16 735

Countries citing papers authored by Priyanka Bapat

Since Specialization
Citations

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

Fields of papers citing papers by Priyanka Bapat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priyanka Bapat

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