Preethy Nayar

1.0k total citations
35 papers, 739 citations indexed

About

Preethy Nayar is a scholar working on General Health Professions, Economics and Econometrics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Preethy Nayar has authored 35 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in General Health Professions, 14 papers in Economics and Econometrics and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Preethy Nayar's work include Healthcare Policy and Management (13 papers), Primary Care and Health Outcomes (7 papers) and Global Health Workforce Issues (5 papers). Preethy Nayar is often cited by papers focused on Healthcare Policy and Management (13 papers), Primary Care and Health Outcomes (7 papers) and Global Health Workforce Issues (5 papers). Preethy Nayar collaborates with scholars based in United States and India. Preethy Nayar's co-authors include Yaşar A. Özcan, Aastha Chandak, Anh Trung Nguyen, Bettye A. Apenteng, Fang Yu, Ge Lin, Fang Yu, Lina Lander, Hongmei Wang and Eugene Boilesen and has published in prestigious journals such as Transfusion, Journal of Surgical Oncology and Frontiers in Public Health.

In The Last Decade

Preethy Nayar

33 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Preethy Nayar United States 16 300 277 210 150 82 35 739
John Yfantopoulos Greece 20 322 1.1× 361 1.3× 82 0.4× 70 0.5× 25 0.3× 83 1.1k
Nahid Hatam Iran 15 198 0.7× 165 0.6× 51 0.2× 48 0.3× 45 0.5× 86 709
Reza Dehnavieh Iran 13 330 1.1× 218 0.8× 113 0.5× 28 0.2× 19 0.2× 105 816
Jenna M. Evans Canada 17 449 1.5× 188 0.7× 156 0.7× 49 0.3× 46 0.6× 50 791
Sajad Delavari Iran 15 257 0.9× 188 0.7× 107 0.5× 14 0.1× 26 0.3× 70 776
Muhamad Hanafiah Juni Malaysia 14 223 0.7× 76 0.3× 130 0.6× 20 0.1× 167 2.0× 102 785
Jiangjiang He China 15 99 0.3× 195 0.7× 129 0.6× 13 0.1× 45 0.5× 38 689
Bahareh Yazdizadeh Iran 16 314 1.0× 134 0.5× 202 1.0× 14 0.1× 117 1.4× 61 864
Ross M.Mullner United States 17 400 1.3× 369 1.3× 94 0.4× 20 0.1× 14 0.2× 67 984
Vassilis Aletras Greece 16 249 0.8× 357 1.3× 56 0.3× 159 1.1× 25 0.3× 40 727

Countries citing papers authored by Preethy Nayar

Since Specialization
Citations

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

Fields of papers citing papers by Preethy Nayar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preethy Nayar

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

All Works

20 of 20 papers shown
1.
Nayar, Preethy, Aastha Chandak, Fang Yu, Harlan Sayles, & Apar Kishor Ganti. (2017). Mortality following pancreatectomy for elderly rural veterans with pancreatic cancer. Journal of Geriatric Oncology. 8(4). 284–288. 10 indexed citations
2.
Nayar, Preethy, et al.. (2016). Needs Assessment for Behavioral Health Workforce: a State-Level Analysis. The Journal of Behavioral Health Services & Research. 44(3). 465–473. 6 indexed citations
3.
Nayar, Preethy, Xinliang Liu, & Michael J. McCue. (2016). A Performance Analysis of Long-term Acute-Care Hospitals Owned by Large, Multistate Investor-Owned Companies. The Health Care Manager. 35(2). 144–150.
4.
Nayar, Preethy, et al.. (2016). Readiness for Teledentistry: Validation of a Tool for Oral Health Professionals. Journal of Medical Systems. 41(1). 4–4. 12 indexed citations
5.
Nayar, Preethy, et al.. (2016). Applying Lean Six Sigma to improve medication management. International Journal of Health Care Quality Assurance. 29(1). 16–23. 35 indexed citations
6.
Nayar, Preethy, et al.. (2015). Assessing the Education and Training Needs of Nebraska’s Public Health Workforce. Frontiers in Public Health. 3. 161–161. 13 indexed citations
7.
Wang, Hongmei, Fang Qiu, Eugene Boilesen, et al.. (2015). Rural‐Urban Differences in Costs of End‐of‐Life Care for Elderly Cancer Patients in the United States. The Journal of Rural Health. 32(4). 353–362. 24 indexed citations
8.
Apenteng, Bettye A., et al.. (2014). Organizational and environmental correlates of the adoption of a focus strategy in U.S. hospices. Health Care Management Review. 40(2). 148–158. 6 indexed citations
9.
Cramer, Mary E., et al.. (2014). Retooling the RN workforce in long-term care: Nursing certification as a pathway to quality improvement. Geriatric Nursing. 35(3). 182–187. 26 indexed citations
10.
Nayar, Preethy, et al.. (2013). Science-based and practice-based innovativeness and performance of substance abuse treatment facilities. Health Care Management Review. 39(1). 66–74. 3 indexed citations
11.
Nayar, Preethy, et al.. (2013). Liver Transplant Center Performance Profiling: 2005–2011 Reports of the Scientific Registry for Transplant Recipients. Progress in Transplantation. 23(2). 165–172. 3 indexed citations
12.
Nayar, Preethy, Yaşar A. Özcan, Fang Yu, & Anh Trung Nguyen. (2012). Benchmarking urban acute care hospitals. Health Care Management Review. 38(2). 137–145. 58 indexed citations
13.
Nayar, Preethy, et al.. (2012). Rural Veterans’ Perspectives of Dual Care. Journal of Community Health. 38(1). 70–77. 38 indexed citations
14.
Nayar, Preethy, et al.. (2012). Transitions in Dual Care for Veterans: Non-Federal Physician Perspectives. Journal of Community Health. 38(2). 225–237. 20 indexed citations
15.
McCue, Michael J. & Preethy Nayar. (2009). A Financial Ratio Analysis of For‐Profit and Non‐Profit Rural Referral Centers. The Journal of Rural Health. 25(3). 314–319. 7 indexed citations
16.
Nayar, Preethy. (2008). The impact of Medicare's Prospective Payment System on staffing of long-term acute care hospitals. Health Care Management Review. 33(3). 264–273. 9 indexed citations
17.
McCue, Michael J. & Preethy Nayar. (2008). New Long-Term-Care Hospitals' Performance after Implementation of a Prospective Payment System. Hospital Topics. 86(3). 3–10. 2 indexed citations
18.
Nayar, Preethy & Yaşar A. Özcan. (2008). Data Envelopment Analysis Comparison of Hospital Efficiency and Quality. Journal of Medical Systems. 32(3). 193–199. 160 indexed citations
19.
White, Kenneth R., Dolores G. Clement, & Preethy Nayar. (2006). Evidence-based healthcare management competency evaluation: alumni perceptions.. PubMed. 23(4). 335–49. 9 indexed citations
20.
Nayar, Preethy, et al.. (1990). The practice of unconventional renal transplantation (UCRT) at a single centre in India.. PubMed. 22(3). 912–4. 15 indexed citations

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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