Hafid Narayan

794 total citations
21 papers, 611 citations indexed

About

Hafid Narayan is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Hafid Narayan has authored 21 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Hafid Narayan's work include Heart Failure Treatment and Management (10 papers), Acute Myocardial Infarction Research (6 papers) and Protease and Inhibitor Mechanisms (4 papers). Hafid Narayan is often cited by papers focused on Heart Failure Treatment and Management (10 papers), Acute Myocardial Infarction Research (6 papers) and Protease and Inhibitor Mechanisms (4 papers). Hafid Narayan collaborates with scholars based in United Kingdom, United States and Germany. Hafid Narayan's co-authors include Leong L. Ng, Joan E. Davies, Paulene A. Quinn, Iain Squire, Onkar S. Dhillon, Sohail Q. Khan, Kelvin Ng, Dominic Kelly, Andreas Bergmann and Matthew F. Yuyun and has published in prestigious journals such as Journal of the American College of Cardiology, Arteriosclerosis Thrombosis and Vascular Biology and The American Journal of Cardiology.

In The Last Decade

Hafid Narayan

21 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hafid Narayan United Kingdom 14 325 138 137 95 80 21 611
Michael Browatzki Germany 7 175 0.5× 116 0.8× 81 0.6× 97 1.0× 73 0.9× 8 466
Onkar S. Dhillon United Kingdom 13 585 1.8× 242 1.8× 141 1.0× 105 1.1× 66 0.8× 15 967
Tomoo Furumoto Japan 17 442 1.4× 85 0.6× 149 1.1× 170 1.8× 189 2.4× 34 888
Francesca A. Nicolini United States 15 441 1.4× 44 0.3× 177 1.3× 116 1.2× 40 0.5× 30 806
Frank P. Brouwers Netherlands 13 622 1.9× 74 0.5× 80 0.6× 99 1.0× 104 1.3× 20 866
Marcel Roos Germany 16 142 0.4× 80 0.6× 164 1.2× 263 2.8× 76 0.9× 38 808
M. Fukuzawa Japan 15 362 1.1× 57 0.4× 214 1.6× 83 0.9× 32 0.4× 52 915
Kan Saito Japan 16 202 0.6× 31 0.2× 177 1.3× 179 1.9× 54 0.7× 50 697
Henrik Reinhard Denmark 20 361 1.1× 54 0.4× 151 1.1× 202 2.1× 249 3.1× 29 964
Joerg Kreuzer Germany 11 320 1.0× 94 0.7× 124 0.9× 123 1.3× 193 2.4× 21 732

Countries citing papers authored by Hafid Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Hafid Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hafid Narayan

This figure shows the co-authorship network connecting the top 25 collaborators of Hafid Narayan. A scholar is included among the top collaborators of Hafid Narayan 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 Hafid Narayan. Hafid Narayan 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.
Wilson, Simon, Fraz A. Ismat, Zhaoqing Wang, et al.. (2017). PAR4 (Protease-Activated Receptor 4) Antagonism With BMS-986120 Inhibits Human Ex Vivo Thrombus Formation. Arteriosclerosis Thrombosis and Vascular Biology. 38(2). 448–456. 78 indexed citations
2.
Yuyun, Matthew F., Hafid Narayan, Paulene A. Quinn, et al.. (2016). Prognostic value of human mature adrenomedullin in patients with acute myocardial infarction. Journal of Cardiovascular Medicine. 18(1). 42–50. 7 indexed citations
3.
Narayan, Hafid & David J. Webb. (2016). New Evidence Supporting the Use of Mineralocorticoid Receptor Blockers in Drug-Resistant Hypertension. Current Hypertension Reports. 18(5). 34–34. 22 indexed citations
4.
Yuyun, Matthew F., Hafid Narayan, & Leong L. Ng. (2015). Prognostic Significance of Adrenomedullin in Patients With Heart Failure and With Myocardial Infarction. The American Journal of Cardiology. 115(7). 986–991. 36 indexed citations
5.
Bhandari, Sanjay, Hafid Narayan, Donald J. L. Jones, et al.. (2015). Plasma Growth Hormone is a Strong Predictor of Risk at 1 Year in Acute Heart Failure. European Journal of Heart Failure. 18(3). 281–289. 14 indexed citations
6.
7.
Ng, Leong L., Jatinderpal K. Sandhu, Hafid Narayan, et al.. (2014). Pro-Substance P for Evaluation of Risk in Acute Myocardial Infarction. Journal of the American College of Cardiology. 64(16). 1698–1707. 11 indexed citations
8.
Narayan, Hafid, et al.. (2014). 51 Plasma MMP-3: A Novel Indicator of Left Ventricle Remodelling and Adverse Outcomes in Patients with Acute Heart Failure. Heart. 100(Suppl 3). A29.2–A30. 1 indexed citations
9.
Ng, Leong L., Jatinderpal K. Sandhu, Hafid Narayan, et al.. (2013). Proenkephalin and Prognosis After Acute Myocardial Infarction. Journal of the American College of Cardiology. 63(3). 280–289. 54 indexed citations
10.
Dhillon, Onkar S., Hafid Narayan, Sohail Q. Khan, et al.. (2012). Pre-discharge risk stratification in unselected STEMI: Is there a role for ST2 or its natural ligand IL-33 when compared with contemporary risk markers?. International Journal of Cardiology. 167(5). 2182–2188. 59 indexed citations
11.
12.
Rahbi, Hazim, Hafid Narayan, Donald J. L. Jones, & Leong L. Ng. (2012). The uroguanylin system and human disease. Clinical Science. 123(12). 659–668. 13 indexed citations
13.
Dhillon, Onkar S., Hafid Narayan, Paulene A. Quinn, et al.. (2011). Interleukin 33 and ST2 in non–ST-elevation myocardial infarction: Comparison with Global Registry of Acute Coronary Events Risk Scoring and NT-proBNP. American Heart Journal. 161(6). 1163–1170. 61 indexed citations
14.
Kelly, Dominic, Iain Squire, Sohail Q. Khan, et al.. (2010). Usefulness of Plasma Tissue Inhibitors of Metalloproteinases as Markers of Prognosis After Acute Myocardial Infarction. The American Journal of Cardiology. 106(4). 477–482. 33 indexed citations
15.
Dhillon, Onkar S., Sohail Q. Khan, Hafid Narayan, et al.. (2010). Prognostic Value of Mid-Regional Pro-Adrenomedullin Levels Taken on Admission and Discharge in Non–ST-Elevation Myocardial Infarction. Journal of the American College of Cardiology. 56(2). 125–133. 43 indexed citations
16.
Squire, I B, P. Quinn, Hafid Narayan, et al.. (2010). Identification of potential outcome benefit from ACE inhibition after acute coronary syndrome: a biomarker approach using N-terminal proBNP. Heart. 96(11). 831–837. 4 indexed citations
17.
Ng, Leong L., Sohail Q. Khan, Hafid Narayan, et al.. (2010). Proteinase 3 and prognosis of patients with acute myocardial infarction. Clinical Science. 120(6). 231–238. 26 indexed citations
18.
Khan, Sohail Q., Hafid Narayan, Kelvin Ng, et al.. (2009). N-terminal pro-B-type natriuretic peptide complements the GRACE risk score in predicting early and late mortality following acute coronary syndrome. Clinical Science. 117(1). 31–39. 38 indexed citations
19.
Dhillon, Onkar S., Sohail Q. Khan, Hafid Narayan, et al.. (2009). Matrix metalloproteinase-2 predicts mortality in patients with acute coronary syndrome. Clinical Science. 118(4). 249–257. 39 indexed citations
20.
Narayan, Hafid, et al.. (2009). Activation of a novel natriuretic endocrine system in humans with heart failure. Clinical Science. 118(5). 367–374. 7 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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