Prashanth Patel

1.7k total citations
39 papers, 883 citations indexed

About

Prashanth Patel is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Prashanth Patel has authored 39 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 17 papers in Family Practice and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Prashanth Patel's work include Blood Pressure and Hypertension Studies (20 papers), Medication Adherence and Compliance (17 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). Prashanth Patel is often cited by papers focused on Blood Pressure and Hypertension Studies (20 papers), Medication Adherence and Compliance (17 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). Prashanth Patel collaborates with scholars based in United Kingdom, United States and Netherlands. Prashanth Patel's co-authors include Pankaj Gupta, Maciej Tomaszewski, Bryan Williams, Adrian G. Stanley, Kamlesh Khunti, Nilesh J. Samani, W. Madira, Nicholas G. D. Masca, Robert Horne and Gaurav S. Gulsin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Diabetes Care.

In The Last Decade

Prashanth Patel

35 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prashanth Patel United Kingdom	13	580	331	147	116	107	39	883
Arsenio H.P. Paes Netherlands	10	286 0.5×	249 0.8×	236 1.6×	62 0.5×	102 1.0×	14	830
Feride Frech‐Tamas United States	13	536 0.9×	475 1.4×	110 0.7×	75 0.6×	285 2.7×	24	919
Stefano Buda Italy	14	426 0.7×	249 0.8×	158 1.1×	57 0.5×	185 1.7×	65	858
Simon Tang United States	17	426 0.7×	373 1.1×	210 1.4×	70 0.6×	353 3.3×	29	1.0k
Gabriel Raggio United States	9	386 0.7×	329 1.0×	175 1.2×	73 0.6×	214 2.0×	10	1.1k
Alben Sigamani India	14	458 0.8×	84 0.3×	94 0.6×	23 0.2×	95 0.9×	33	904
G Vincze Switzerland	9	499 0.9×	429 1.3×	197 1.3×	97 0.8×	187 1.7×	23	944
Jeanne L. Speckman United States	11	540 0.9×	271 0.8×	77 0.5×	40 0.3×	175 1.6×	13	884
Kristina Yu-Isenberg United States	13	186 0.3×	409 1.2×	124 0.8×	146 1.3×	383 3.6×	23	927
Ashna Bowry Canada	5	295 0.5×	157 0.5×	45 0.3×	29 0.3×	145 1.4×	11	615

Countries citing papers authored by Prashanth Patel

Since Specialization

Citations

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

Fields of papers citing papers by Prashanth Patel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashanth Patel

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

Patel, Prashanth, et al.. (2024). SYSTEMATIC REVIEW OF MEDICATION ADHERENCE IN PATIENTS WITH HYPERTENSION IN INDIA. Journal of Hypertension. 42(Suppl 1). e59–e59.

Ambrogetti, Robert, et al.. (2024). Tumour in the dark: a challenging case of osteomalacia. Oxford Medical Case Reports. 2024(12). omae159–omae159.

Kendrick, John W., Adrian M. McCall, Prashanth Patel, et al.. (2023). P300 Role of ExPlex HLA antibody panel in de novo HLA donor-specific antibody identification in kidney transplant recipients: 2 case reports. Human Immunology. 84. 115–115.

Seidu, Samuel, Prashanth Patel, Kamlesh Khunti, et al.. (2023). An Innovative Chemical Adherence Test Demonstrates Very High Rates of Nonadherence to Oral Cardio-Metabolic Medications. Kidney International Reports. 8(12). 2818–2821. 3 indexed citations

Beishon, Lucy, Vinoda Sharma, Shirley Sze, et al.. (2022). High non-adherence rates to secondary prevention by chemical adherence testing in patients with TIA. Journal of Stroke and Cerebrovascular Diseases. 31(9). 106665–106665. 3 indexed citations

Lawson, Alexander J., Michel Azizi, Michel Burnier, et al.. (2021). Nonadherence in Hypertension: How to Develop and Implement Chemical Adherence Testing. UCL Discovery (University College London). 35 indexed citations

Gupta, Pankaj, Adriaan A. Voors, Prashanth Patel, et al.. (2021). Non‐adherence to heart failure medications predicts clinical outcomes: assessment in a single spot urine sample by liquid chromatography‐tandem mass spectrometry (results of a prospective multicentre study). European Journal of Heart Failure. 23(7). 1182–1190. 17 indexed citations

Martin, Christopher, Prashanth Patel, David R. Jenkins, et al.. (2021). SARS-CoV-2 vaccine uptake in a multi-ethnic UK healthcare workforce: A cross-sectional study. PLoS Medicine. 18(11). e1003823–e1003823. 50 indexed citations

Sheppard, James P, Ali Albasri, Pankaj Gupta, et al.. (2021). Measuring adherence to antihypertensive medication using an objective test in older adults attending primary care: cross-sectional study. Journal of Human Hypertension. 36(12). 1106–1112. 8 indexed citations

10.

Gillies, Clare, Samuel Seidu, Debasish Kar, et al.. (2020). Effect of pragmatic versus explanatory interventions on medication adherence in people with cardiometabolic conditions: a systematic review and meta-analysis. BMJ Open. 10(7). e036575–e036575. 10 indexed citations

11.

Dallosso, Helen, Stephen Rogers, Laura J. Gray, et al.. (2020). Effectiveness of the Ready to Reduce Risk (3R) complex intervention for the primary prevention of cardiovascular disease: a pragmatic randomised controlled trial. BMC Medicine. 18(1). 198–198. 10 indexed citations

12.

Gillies, Clare, Prashanth Patel, T. J. Davies, et al.. (2020). Reducing vitamin D requests in a primary care cohort: a quality improvement study. BJGP Open. 4(5). bjgpopen20X101090–bjgpopen20X101090. 4 indexed citations

13.

Lane, David A., et al.. (2019). Objective measures of non-adherence in cardiometabolic diseases: a review focused on urine biochemical screening. SHILAP Revista de lepidopterología.

14.

Kanagala, Prathap, Adrian S. H. Cheng, Anvesha Singh, et al.. (2019). Relationship Between Focal and Diffuse Fibrosis Assessed by CMR and Clinical Outcomes in Heart Failure With Preserved Ejection Fraction. JACC. Cardiovascular imaging. 12(11). 2291–2301. 98 indexed citations

15.

Sharma, Vinoda, Pankaj Gupta, Branislav Štrauch, et al.. (2019). REFRACTORY VERSUS RESISTANT HYPERTENSION: IS IT RELATED EXCESS SYMPATHETIC ACTIVITY?. Journal of the American College of Cardiology. 73(9). 1817–1817. 1 indexed citations

16.

Patel, Prashanth, et al.. (2019). <p>Objective measures of non-adherence in cardiometabolic diseases: a review focused on urine biochemical screening</p>. Patient Preference and Adherence. Volume 13. 537–547. 17 indexed citations

17.

Dallosso, Helen, Stephen Rogers, Laura J. Gray, et al.. (2018). The Ready to Reduce Risk (3R) Study for a Group Educational Intervention With Telephone and Text Messaging Support to Improve Medication Adherence for the Primary Prevention of Cardiovascular Disease: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 7(11). e11289–e11289. 5 indexed citations

18.

Gupta, Pankaj, Prashanth Patel, Robert Horne, et al.. (2016). How to Screen for Non-Adherence to Antihypertensive Therapy. Current Hypertension Reports. 18(12). 89–89. 54 indexed citations

19.

Patel, Prashanth, et al.. (2015). Screening for non-adherence to antihypertensive treatment as a part of the diagnostic pathway to renal denervation. Journal of Human Hypertension. 30(6). 368–373. 31 indexed citations

20.

Tomaszewski, Maciej, Prashanth Patel, Nicholas G. D. Masca, et al.. (2014). High rates of non-adherence to antihypertensive treatment revealed by high-performance liquid chromatography-tandem mass spectrometry (HP LC-MS/MS) urine analysis. Heart. 100(11). 855–861. 258 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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