Priyanka Bapat

912 total citations · 1 hit paper
6 papers, 755 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 755 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 Embedded Systems and FPGA Applications (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 Embedded Systems and FPGA Applications (1 paper). Priyanka Bapat collaborates with scholars based in United States, New Zealand and South Korea. Priyanka Bapat's co-authors include Chwan‐Li Shen, Shu Wang, Anuradha A. Shastri, Naïma Moustaïd‐Moussa, Rui Su, In-Sook Kwun, Lixia Chen, Huanbiao Mo, Debra B. Reed and Nirupa R. Matthan 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 740 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Novel insights of dietary polyphenols and obesity

2013 733 citations Shu Wang, Naïma Moustaïd‐Moussa et al. The Journal of Nutritional Biochemistry profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Priyanka Bapat United States	3	232	216	212	167	128	6	755
Anuradha A. Shastri United States	6	247 1.1×	214 1.0×	263 1.2×	168 1.0×	135 1.1×	10	835
In-Sook Kwun South Korea	8	260 1.1×	232 1.1×	248 1.2×	180 1.1×	158 1.2×	10	913
Itziar Eseberri Spain	16	222 1.0×	145 0.7×	214 1.0×	160 1.0×	106 0.8×	26	769
Cecilia Rodríguez Lanzi Argentina	12	202 0.9×	187 0.9×	136 0.6×	168 1.0×	106 0.8×	21	622
Jia‐Ching Wu Taiwan	15	157 0.7×	177 0.8×	397 1.9×	109 0.7×	93 0.7×	19	844
Rocío Morón Spain	11	369 1.6×	180 0.8×	255 1.2×	221 1.3×	78 0.6×	25	976
Yukari Akimoto Japan	11	178 0.8×	242 1.1×	280 1.3×	187 1.1×	57 0.4×	11	848
Kristy L. West United States	14	287 1.2×	230 1.1×	209 1.0×	155 0.9×	76 0.6×	15	1.2k
Mónica Vázquez-Agell Spain	6	140 0.6×	201 0.9×	136 0.6×	73 0.4×	165 1.3×	7	627
Yen‐Chen Tung Taiwan	16	212 0.9×	180 0.8×	351 1.7×	139 0.8×	120 0.9×	33	893

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

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Bapat, Priyanka, et al.. (2023). Relationship Between Handgrip Endurance with Handwriting Legibility Scale Among School Going Children Between Age Group of 9-16 Years: A Correlational Study. International Journal of Health Sciences and Research. 13(3). 217–222. 1 indexed citations

2.

Bapat, Priyanka, et al.. (2021). In Vitro Cytotoxicity of Trastuzumab (Tz) and Se-Trastuzumab (Se-Tz) against the Her/2 Breast Cancer Cell Lines JIMT-1 and BT-474. International Journal of Molecular Sciences. 22(9). 4655–4655. 4 indexed citations

3.

Wang, Shu, Nirupa R. Matthan, Dayong Wu, et al.. (2013). Lipid content in hepatic and gonadal adipose tissue parallel aortic cholesterol accumulation in mice fed diets with different omega-6 PUFA to EPA plus DHA ratios. Clinical Nutrition. 33(2). 260–266. 15 indexed citations

4.

Bapat, Priyanka, et al.. (2013). Selenium Conjugated Transferrins as Apoptotic Agents to Treat Leukemia Cells. Free Radical Biology and Medicine. 65. S19–S19. 1 indexed citations

5.

Wang, Shu, Naïma Moustaïd‐Moussa, Lixia Chen, et al.. (2013). Novel insights of dietary polyphenols and obesity. The Journal of Nutritional Biochemistry. 25(1). 1–18. 733 indexed citations breakdown →

6.

Bapat, Priyanka, et al.. (2013). USB TO USB Data Transfer Without Connecting To PC. 2(2). 1 indexed citations

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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