Payal Arora

20 total papers · 702 total citations
7 papers, 525 citations indexed

About

Payal Arora is a scholar working on Molecular Biology, Periodontics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Payal Arora has authored 7 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Periodontics and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Payal Arora's work include Epigenetics and DNA Methylation (2 papers), Oral microbiology and periodontitis research (2 papers) and Inflammatory mediators and NSAID effects (1 paper). Payal Arora is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Oral microbiology and periodontitis research (2 papers) and Inflammatory mediators and NSAID effects (1 paper). Payal Arora collaborates with scholars based in United States, Switzerland and South Korea. Payal Arora's co-authors include Kyung Lib Jang, Jin Kyu Jung, Joseph S. Pagano, Martin Graf, Tamar Golan‐Lev, Ralph Garippa, Yifat S. Oren, Alicia Leikin‐Frenkel, Ofra Yanuka and Markus Boehringer and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Payal Arora

7 papers receiving 517 citations

Author Peers

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

Author						Papers	Cites
Payal Arora	341	77	74	61	55	7	525
J.C. Chow	213 0.6×	73 0.9×	65 0.9×	80 1.3×	37 0.7×	9	612
Alison Taylor	305 0.9×	42 0.5×	190 2.6×	48 0.8×	31 0.6×	6	517
Hanrui Wu	318 0.9×	43 0.6×	198 2.7×	51 0.8×	32 0.6×	5	514
Wei-Wen Jiang	285 0.8×	59 0.8×	65 0.9×	82 1.3×	55 1.0×	6	458
Jorge Luis Galeano Niño	337 1.0×	43 0.6×	205 2.8×	46 0.8×	32 0.6×	8	557
K. S. Kim	185 0.5×	66 0.9×	42 0.6×	38 0.6×	8 0.1×	5	557
R Chen	233 0.7×	97 1.3×	70 0.9×	46 0.8×	7 0.1×	8	553
Jia-Hui Huang	212 0.6×	30 0.4×	34 0.5×	37 0.6×	25 0.5×	12	470
Tianhua Lei	317 0.9×	69 0.9×	93 1.3×	42 0.7×	5 0.1×	14	598
Julie K. Westphal	322 0.9×	21 0.3×	50 0.7×	45 0.7×	14 0.3×	7	542

Countries citing papers authored by Payal Arora

Since Specialization

Citations

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

Fields of papers citing papers by Payal Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Arora

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