Payal Kahar

33 total papers · 1.2k total citations
24 papers, 736 citations indexed

About

Payal Kahar is a scholar working on Public Health, Environmental and Occupational Health, Periodontics and Infectious Diseases. According to data from OpenAlex, Payal Kahar has authored 24 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 6 papers in Periodontics and 4 papers in Infectious Diseases. Recurrent topics in Payal Kahar's work include Dental Health and Care Utilization (6 papers), Oral microbiology and periodontitis research (6 papers) and Obesity, Physical Activity, Diet (3 papers). Payal Kahar is often cited by papers focused on Dental Health and Care Utilization (6 papers), Oral microbiology and periodontitis research (6 papers) and Obesity, Physical Activity, Diet (3 papers). Payal Kahar collaborates with scholars based in United States and India. Payal Kahar's co-authors include Deepesh Khanna, Pragya Khanna, Siya Khanna, B. M. Patel, Mayur Parmar, Rikinkumar S. Patel, Ranjita Misra, Thakor G. Patel, Jesse Miller and Kenneth E. Johnson and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and BioMed Research International.

In The Last Decade

Payal Kahar

21 papers receiving 721 citations

Hit Papers

Obesity: A Chronic Low-Gr... 2022 2026 2023 2024 2022 2022 2022 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Payal Kahar 201 160 126 108 98 24 736
Deepesh Khanna 246 1.2× 181 1.1× 136 1.1× 130 1.2× 108 1.1× 48 874
Pandora L. Wander 118 0.6× 114 0.7× 121 1.0× 102 0.9× 94 1.0× 41 698
Jaime S. Rosa Duque 159 0.8× 135 0.8× 131 1.0× 68 0.6× 62 0.6× 67 772
José Luis Márquez 147 0.7× 108 0.7× 55 0.4× 112 1.0× 57 0.6× 40 745
Gang Li 169 0.8× 216 1.4× 215 1.7× 73 0.7× 169 1.7× 55 886
Maria‐Pia Hergens 278 1.4× 165 1.0× 195 1.5× 163 1.5× 64 0.7× 30 876
Ana González Hernández 93 0.5× 185 1.2× 126 1.0× 93 0.9× 107 1.1× 31 799
Tzu‐Lin Yeh 166 0.8× 89 0.6× 122 1.0× 197 1.8× 177 1.8× 43 870
Xiao Gong 77 0.4× 261 1.6× 203 1.6× 130 1.2× 93 0.9× 41 886
Min Hou 168 0.8× 97 0.6× 162 1.3× 76 0.7× 293 3.0× 42 793

Countries citing papers authored by Payal Kahar

Since Specialization
Citations

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

Fields of papers citing papers by Payal Kahar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Kahar

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