Sunil Nadar

3.0k total citations
89 papers, 1.9k citations indexed

About

Sunil Nadar is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sunil Nadar has authored 89 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cardiology and Cardiovascular Medicine, 12 papers in Surgery and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sunil Nadar's work include Antiplatelet Therapy and Cardiovascular Diseases (14 papers), Blood Pressure and Hypertension Studies (13 papers) and Cardiovascular Function and Risk Factors (11 papers). Sunil Nadar is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (14 papers), Blood Pressure and Hypertension Studies (13 papers) and Cardiovascular Function and Risk Factors (11 papers). Sunil Nadar collaborates with scholars based in United Kingdom, Oman and United States. Sunil Nadar's co-authors include Gregory Y.H. Lip, Andrew D. Blann, Muzahir H. Tayebjee, Andrew Blann, Robert J. MacFadyen, G Y H Lip, A BLANN, DG Beevers, Ioannis Karalis and D G Beevers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Hypertension.

In The Last Decade

Sunil Nadar

81 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Nadar United Kingdom 25 1.0k 322 285 252 241 89 1.9k
Hans‐H. Neumayer Germany 29 665 0.7× 183 0.6× 444 1.6× 389 1.5× 69 0.3× 75 2.7k
Jeetesh V. Patel United Kingdom 24 903 0.9× 97 0.3× 301 1.1× 305 1.2× 146 0.6× 52 2.1k
Kayser Çağlar Türkiye 33 609 0.6× 298 0.9× 312 1.1× 497 2.0× 136 0.6× 52 3.1k
Jan Westerink Netherlands 27 966 1.0× 146 0.5× 277 1.0× 766 3.0× 117 0.5× 131 2.7k
Adnan Abacı Türkiye 21 1.0k 1.0× 253 0.8× 434 1.5× 459 1.8× 72 0.3× 91 2.0k
Hoong Sern Lim United Kingdom 25 1.1k 1.1× 171 0.5× 309 1.1× 625 2.5× 76 0.3× 122 2.2k
Enrico Vizzardi Italy 27 1.5k 1.5× 117 0.4× 268 0.9× 368 1.5× 47 0.2× 192 2.5k
Lucía Cea Soriano Spain 24 463 0.5× 109 0.3× 221 0.8× 628 2.5× 62 0.3× 88 2.2k
Jacek Małyszko Poland 27 369 0.4× 116 0.4× 444 1.6× 438 1.7× 74 0.3× 163 2.6k
Haiyan Wang China 22 564 0.6× 325 1.0× 708 2.5× 333 1.3× 322 1.3× 65 3.0k

Countries citing papers authored by Sunil Nadar

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Nadar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Nadar

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Nadar. A scholar is included among the top collaborators of Sunil Nadar 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 Sunil Nadar. Sunil Nadar 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.
2.
Nadar, Sunil, et al.. (2024). Digital Psychiatry: Opportunities, Challenges, and Future Directions. Journal of Psychiatric Practice. 30(6). 400–410. 1 indexed citations
3.
Nadar, Sunil, et al.. (2023). Adherence to Medications in Patients with Ischaemic Heart Disease in Oman. Sultan Qaboos University medical journal. 24(1). 109–114.
4.
Nadar, Sunil, et al.. (2023). Psychological impact of first admission with cardiovascular disease in a tertiary hospital in Oman. Journal of Taibah University Medical Sciences. 19(1). 28–34. 1 indexed citations
5.
Nadar, Sunil, et al.. (2022). Knowledge, Attitudes and Practices Regarding Traditional and Complementary Medicine in Oman. Sultan Qaboos University medical journal. 23(1). 90–98. 3 indexed citations
6.
Nadar, Sunil, et al.. (2020). Comparison between two protocols for deflation of the TR band following coronary procedures via the radial route. Journal of the Saudi Heart Association. 32(1). 52–56. 4 indexed citations
7.
Nadar, Sunil & Gregory Y.H. Lip. (2020). The heart in hypertension. Journal of Human Hypertension. 35(5). 383–386. 18 indexed citations
8.
Nadar, Sunil. (2017). New Classification for Heart Failure with Mildly Reduced Ejection Fraction: Greater clarity or more confusion?. Sultan Qaboos University medical journal. 17(1). e23–26. 4 indexed citations
9.
Sandhu, Kully & Sunil Nadar. (2015). Percutaneous coronary intervention in the elderly. International Journal of Cardiology. 199. 342–355. 26 indexed citations
10.
Nadar, Sunil, et al.. (2012). Management of elderly patients with troponin positive chest pain in a District General Hospital. Cardiology Journal. 19(4). 395–401. 7 indexed citations
11.
Nadar, Sunil, Muzahir H. Tayebjee, Franz H. Messerli, & Gregory Y.H. Lip. (2006). Target Organ Damage in Hypertension: Pathophysiology and Implications for Drug Therapy. Current Pharmaceutical Design. 12(13). 1581–1592. 56 indexed citations
12.
Tayebjee, Muzahir H., Ioannis Karalis, Sunil Nadar, et al.. (2005). Circulating matrix metalloproteinase-9 and tissue inhibitors of metalloproteinases-1 and -2 levels in gestational hypertension. American Journal of Hypertension. 18(3). 325–329. 44 indexed citations
13.
Lim, Hoong Sern, et al.. (2005). Tissue inhibitor of metalloproteinse‐1 is a marker of diastolic dysfunction using tissue doppler in patients with type 2 diabetes and hypertension. European Journal of Clinical Investigation. 35(1). 8–12. 23 indexed citations
14.
15.
Nadar, Sunil, Andrew D. Blann, Sridhar Kamath, DG Beevers, & Gregory Y.H. Lip. (2004). Platelet indexes in relation to target organ damage in high-risk hypertensive patients. Journal of the American College of Cardiology. 44(2). 415–422. 137 indexed citations
16.
Tayebjee, Muzahir H., et al.. (2004). 1142-186 Elevated levels of circulating tissue inhibitor of metalloproteinase-1 correlate with impaired diastolic relaxation in hypertension: Implications for diastolic heart failure. Journal of the American College of Cardiology. 43(5). A513–A514. 1 indexed citations
17.
Tayebjee, Muzahir H., et al.. (2004). . American Journal of Hypertension. 17(9). 764–769. 112 indexed citations
18.
Nadar, Sunil, Neeraj Prasad, Rod S Taylor, & Gregory Y.H. Lip. (2004). Positive pressure ventilation in the management of acute and chronic cardiac failure: a systematic review and meta-analysis. International Journal of Cardiology. 99(2). 171–185. 39 indexed citations
19.
Nadar, Sunil, Andrew Blann, & Gregory Y.H. Lip. (2004). Endothelial Dysfunction: Methods of Assessment and Application to Hypertension. Current Pharmaceutical Design. 10(29). 3591–3605. 92 indexed citations
20.
Nadar, Sunil, Andrew D. Blann, & Gregory Y.H. Lip. (2004). Plasma and platelet‐derived vascular endothelial growth factor and angiopoietin‐1 in hypertension: effects of antihypertensive therapy. Journal of Internal Medicine. 256(4). 331–337. 28 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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