Priyanka Bapat

912 citations
6 papers · 755 indexed · 1 hit paper · h-index 3
Topics
Adipose Tissue and Metabolism (2 papers)Synthesis and Characterization of Heterocyclic Compounds (1 paper)Embedded Systems and FPGA Applications (1 paper)

In The Last Decade

Priyanka Bapat

6 papers receiving 740 citations

Hit Papers

Novel insights of dietary polyphenols and obesity20132026201720212013200400600

Peers

Priyanka Bapat
Comparison fields: 5 of 83
  • Physiology 232
  • Biochemistry 216
  • Molecular Biology 212
  • Epidemiology 167
  • Pathology and Forensic Medicine 128
Replace Anuradha A. Shastri with:
Anuradha A. Shastri United States
In-Sook Kwun South Korea
Jia‐Ching Wu Taiwan
Diana Bunzel Germany
Itziar Eseberri Spain
María Ángeles Ávila‐Gálvez Spain
N. Arias Spain
Rocío Morón Spain
Yen‐Chen Tung Taiwan
Yuuka Mukai Japan
Priyanka Bapat relative to Anuradha A. Shastri United States Anuradha A. Shastri's profile →
Citations per field
00.5×1.5×
Anuradha A. Shastri · 1×
Citations per year

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

6 of 6 papers shown
#WorkIndexed citations
1 1
2 4
3 15
4
Novel insights of dietary polyphenols and obesitybreakdown →
733
5 1
6
USB TO USB Data Transfer Without Connecting To PC
1

About Priyanka Bapat

Priyanka Bapat is a scholar working on Human-Computer Interaction, Developmental and Educational Psychology and Physiology, having authored 6 papers that have together received 755 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (2 papers), Synthesis and Characterization of Heterocyclic Compounds (1 paper) and Embedded Systems and FPGA Applications (1 paper). The work is most often cited by research in Biochemistry (216 citations), Geriatrics and Gerontology (82 citations) and Physiology (232 citations). Priyanka Bapat has collaborated with scholars based in United States, New Zealand and South Korea. Frequent co-authors include Chwan‐Li Shen, Shu Wang, Anuradha A. Shastri, Huanbiao Mo, Lixia Chen, Rui Su, Naïma Moustaïd‐Moussa, In-Sook Kwun, Debra B. Reed and Alice H. Lichtenstein. Their work appears in journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Clinical Nutrition.

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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