Mamata Hebbal

86 total papers · 1.3k total citations
79 papers, 925 citations indexed

About

Mamata Hebbal is a scholar working on Periodontics, Oral Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mamata Hebbal has authored 79 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Periodontics, 21 papers in Oral Surgery and 17 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mamata Hebbal's work include Dental Health and Care Utilization (34 papers), Oral microbiology and periodontitis research (27 papers) and Dental Research and COVID-19 (16 papers). Mamata Hebbal is often cited by papers focused on Dental Health and Care Utilization (34 papers), Oral microbiology and periodontitis research (27 papers) and Dental Research and COVID-19 (16 papers). Mamata Hebbal collaborates with scholars based in India, Saudi Arabia and United States. Mamata Hebbal's co-authors include Anil V. Ankola, Kamal Shigli, Ratika Sharma, Arpit Gupta, Sushma S. Nayak, Roopali Sankeshwari, Ramesh Nagarajappa, Neha Agrawal, Vijayalakshmi Kotrashetti and Alka Kale and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oral Oncology.

In The Last Decade

Mamata Hebbal

69 papers receiving 850 citations

Author Peers

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

Author Last Decade Papers Cites
Mamata Hebbal 494 222 153 148 128 79 925
Anil V. Ankola 488 1.0× 187 0.8× 118 0.8× 104 0.7× 137 1.1× 109 1.1k
Kalyana Chakravarthy Pentapati 404 0.8× 175 0.8× 229 1.5× 91 0.6× 119 0.9× 134 1.1k
CC Azodo 461 0.9× 199 0.9× 140 0.9× 118 0.8× 258 2.0× 119 1.0k
R Croucher 401 0.8× 62 0.3× 155 1.0× 250 1.7× 207 1.6× 50 995
Ramya Shenoy 440 0.9× 199 0.9× 380 2.5× 69 0.5× 104 0.8× 159 1.2k
Rushabh Dagli 398 0.8× 155 0.7× 69 0.5× 178 1.2× 188 1.5× 34 925
Maryam Alsadat Hashemipour 165 0.3× 69 0.3× 372 2.4× 85 0.6× 70 0.5× 98 952
Francisco Wilker Mustafa Gomes Muniz 680 1.4× 152 0.7× 255 1.7× 103 0.7× 148 1.2× 122 1.2k
Mehmet Dallı 521 1.1× 175 0.8× 420 2.7× 66 0.4× 46 0.4× 31 940
Paul Tramini 513 1.0× 193 0.9× 201 1.3× 77 0.5× 132 1.0× 59 1.0k

Countries citing papers authored by Mamata Hebbal

Since Specialization
Citations

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

Fields of papers citing papers by Mamata Hebbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamata Hebbal

This figure shows the co-authorship network connecting the top 25 collaborators of Mamata Hebbal. A scholar is included among the top collaborators of Mamata Hebbal 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 Mamata Hebbal. Mamata Hebbal 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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2026