Amit Acharya

839 total citations
47 papers, 574 citations indexed

About

Amit Acharya is a scholar working on Periodontics, Health Information Management and Molecular Biology. According to data from OpenAlex, Amit Acharya has authored 47 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Periodontics, 15 papers in Health Information Management and 9 papers in Molecular Biology. Recurrent topics in Amit Acharya's work include Oral microbiology and periodontitis research (16 papers), Electronic Health Records Systems (12 papers) and Dental Health and Care Utilization (11 papers). Amit Acharya is often cited by papers focused on Oral microbiology and periodontitis research (16 papers), Electronic Health Records Systems (12 papers) and Dental Health and Care Utilization (11 papers). Amit Acharya collaborates with scholars based in United States, Australia and Ireland. Amit Acharya's co-authors include Ingrid Glurich, Neel Shimpi, Harshad Hegde, Po‐Huang Chyou, Titus Schleyer, Zhan Ye, Richard L. Berg, Sanjay K. Shukla, Jeffrey J. VanWormer and Sara Lindberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular & Cellular Proteomics and The Journal of the American Dental Association.

In The Last Decade

Amit Acharya

41 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amit Acharya United States	17	284	94	85	77	66	47	574
Neel Shimpi United States	11	182 0.6×	46 0.5×	56 0.7×	63 0.8×	46 0.7×	31	377
M. K. Ross United Kingdom	12	65 0.2×	53 0.6×	99 1.2×	224 2.9×	63 1.0×	23	449
Zhen Lin Australia	9	96 0.3×	19 0.2×	228 2.7×	71 0.9×	123 1.9×	13	639
Margaret Langelier United States	13	61 0.2×	31 0.3×	92 1.1×	198 2.6×	35 0.5×	26	420
Ali Soroush United States	12	14 0.0×	43 0.5×	43 0.5×	33 0.4×	228 3.5×	29	662
Julie C. Reynolds United States	11	71 0.3×	6 0.1×	59 0.7×	148 1.9×	25 0.4×	43	303
Nino Fijačko Slovenia	11	15 0.1×	29 0.3×	25 0.3×	51 0.7×	45 0.7×	45	304
Carlos Parra Spain	10	23 0.1×	45 0.5×	39 0.5×	44 0.6×	64 1.0×	17	376
E Günel Türkiye	10	5 0.0×	3 0.0×	68 0.8×	24 0.3×	33 0.5×	19	693
Prakash Chand Negi India	18	13 0.0×	173 1.8×	226 2.7×	38 0.5×	108 1.6×	62	871

Countries citing papers authored by Amit Acharya

Since Specialization

Citations

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

Fields of papers citing papers by Amit Acharya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Acharya

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Acharya. A scholar is included among the top collaborators of Amit Acharya 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 Amit Acharya. Amit Acharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shimpi, Neel, et al.. (2022). Development and Validation of a Non-Invasive, Chairside Oral Cavity Cancer Risk Assessment Prototype Using Machine Learning Approach. Journal of Personalized Medicine. 12(4). 614–614. 4 indexed citations

Shimpi, Neel, Elizabeth Buchanan, & Amit Acharya. (2022). How Medical-Dental EHR Integration Can Improve Diabetes Care. The AMA Journal of Ethic. 24(1). E99–105. 2 indexed citations

Glurich, Ingrid, et al.. (2021). Systematic review of studies examining contribution of oral health variables to risk prediction models for undiagnosed Type 2 diabetes and prediabetes. Clinical and Experimental Dental Research. 8(1). 96–107. 2 indexed citations

Glurich, Ingrid, et al.. (2021). Longitudinal Observation of Outcomes and Patient Access to Integrated Care Following Point-of-Care Glycemic Screening in Community Health Center Dental Safety Net Clinics. SHILAP Revista de lepidopterología. 2. 670355–670355. 6 indexed citations

Overmyer, Katherine A., Timothy W. Rhoads, Anna E. Merrill, et al.. (2021). Proteomics, Lipidomics, Metabolomics, and 16S DNA Sequencing of Dental Plaque From Patients With Diabetes and Periodontal Disease. Molecular & Cellular Proteomics. 20. 100126–100126. 32 indexed citations

Duncan, William D., Thankam Thyvalikakath, Melissa Haendel, et al.. (2020). Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology. Journal of Biomedical Semantics. 11(1). 8–8. 5 indexed citations

Hegde, Harshad, et al.. (2019). MICE vs PPCA: Missing data imputation in healthcare. Informatics in Medicine Unlocked. 17. 100275–100275. 58 indexed citations

Hegde, Harshad, et al.. (2019). Development of non-invasive diabetes risk prediction models as decision support tools designed for application in the dental clinical environment. Informatics in Medicine Unlocked. 17. 100254–100254. 40 indexed citations

Glurich, Ingrid, et al.. (2018). Screening for dysglycaemia in dental primary care practice settings: systematic review of the evidence. International Dental Journal. 68(6). 369–377. 18 indexed citations

10.

Acharya, Amit, et al.. (2017). Update on Electronic Dental Record and Clinical Computing Adoption Among Dental Practices in the United States. Clinical Medicine & Research. 15(3-4). 59–74. 26 indexed citations

11.

Chyou, Po‐Huang, et al.. (2017). Statistical Application and Cost Saving in a Dental Survey. Clinical Medicine & Research. 15(1-2). 1–5. 7 indexed citations

12.

Glurich, Ingrid, et al.. (2017). Status Update on Translation of Integrated Primary Dental-Medical Care Delivery for Management of Diabetic Patients. Clinical Medicine & Research. 15(1-2). 21–32. 19 indexed citations

13.

Flynn, Patricia M., et al.. (2016). Assessing Dental Hygienists' Communication Techniques for Use with Low Oral Health Literacy Patients.. PubMed. 90(3). 162–9. 7 indexed citations

14.

Enstad, Chris J., Kim K. P. Johnson, Andrew H. Schmidt, et al.. (2016). Usability Evaluation of an Evidence-based Dental Patient Case Simulator.. AMIA. 1 indexed citations

15.

Acharya, Amit. (2016). Marshfield Clinic Health System: Integrated Care Case Study. Journal of the California Dental Association. 44(3). 177–181. 21 indexed citations

16.

Shimpi, Neel, et al.. (2016). Knowledgeability, Attitude and Behavior of Primary Care Providers Towards Oral Cancer: a Pilot Study. Journal of Cancer Education. 33(2). 359–364. 18 indexed citations

17.

Ye, Zhan, et al.. (2014). A Review of Clinical Decision Support Products in Dentistry.. AMIA.

18.

Thyvalikakath, Thankam, et al.. (2014). Advancing cognitive engineering methods to support user interface design for electronic health records. International Journal of Medical Informatics. 83(4). 292–302. 27 indexed citations

19.

Chyou, Po‐Huang, et al.. (2013). Adoption of Health Information Technology among Dental Practices in the United States.. AMIA. 1 indexed citations

20.

Acharya, Amit, et al.. (2012). Marshfield Enhanced Charting and Code Acquisition (MECCA) Terminology for Dental Procedures.. AMIA.

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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