Maya Ramesh

591 citations
46 papers · 368 · h-index 11

Impact in

    • Dental Health and Care Utilization
    • Oral microbiology and periodontitis research
    • Dental Research and COVID-19

Papers in

Maya Ramesh

40 papers receiving 354 citations

Peers

Maya Ramesh
Comparison fields: 5 of 107
  • Periodontics 97
  • General Dentistry 25
  • Oral Surgery 61
  • Health Informatics 8
  • Emergency Medical Services 34
Replace Alaa Sabah Hussein with:
Alaa Sabah Hussein Malaysia
Jack Toumba United Kingdom
F.C. Sampaio Brazil
Xiangyu Sun China
Farzeen Tanwir Pakistan
Vibeke Ansteinsson Norway
Se-Yeon Kim South Korea
Alaa BaniHani United Kingdom
Silvana Sale Italy
Amr Bugshan Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Maya Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by Maya Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maya Ramesh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maya Ramesh Line = papers co-authored together Maya Ramesh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 201541
3 201524
4 201423
5 201319
6 201616
7 201615
8 201512
9 201612
10 201411
11 201510
12 201310
13 201510
14 20179
15 20139
16 20079
17 20177
18 20206
19 20165
20 20145

About Maya Ramesh

Maya Ramesh is a scholar working on Periodontics, Water Science and Technology, Oral Surgery, Molecular Biology and Rheumatology, having authored 46 papers that have together received 368 indexed citations. Recurring topics across this work include Dental Health and Care Utilization (7 papers), Fluoride Effects and Removal (7 papers), Oral and Maxillofacial Pathology (5 papers), Dental Research and COVID-19 (3 papers), Oral microbiology and periodontitis research (3 papers), Bone and Dental Protein Studies (3 papers), Oral Health Pathology and Treatment (3 papers) and Magnetic Properties and Synthesis of Ferrites (2 papers). The work is most often cited by research in Periodontics (97 citations), General Dentistry (25 citations), Oral Surgery (61 citations), Health Informatics (8 citations) and Emergency Medical Services (34 citations). Maya Ramesh has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Ramesh Krishnan, K. V. Ramesh, Malathi Narasimhan, B. Parvatheeswara Rao, G. S. N. Rao, K. Samatha, George Paul, Karthik Venkataraghavan, Philip Abraham and Y. Sundarayya. Their work appears in journals such as Journal of Pharmacy And Bioallied Sciences, Ceramics International, European Archives of Paediatric Dentistry, Journal of Oral and Maxillofacial Pathology and Journal of International Society of Preventive and Community Dentistry.

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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