Piers Clifford

3.5k total citations
8 papers, 117 citations indexed

About

Piers Clifford is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Oncology. According to data from OpenAlex, Piers Clifford has authored 8 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 2 papers in Oncology. Recurrent topics in Piers Clifford's work include COVID-19 and healthcare impacts (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Acute Myocardial Infarction Research (2 papers). Piers Clifford is often cited by papers focused on COVID-19 and healthcare impacts (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Acute Myocardial Infarction Research (2 papers). Piers Clifford collaborates with scholars based in United Kingdom, United States and Germany. Piers Clifford's co-authors include Soroosh Firoozan, Mahmoud Barbir, Andrew Kelion, Tarun Mittal, Nigel Stephens, Saeed Mirsadraee, Robert Smith, Adam Timmis, Diana A. Gorog and Ben Ariff and has published in prestigious journals such as BMJ Open, European Heart Journal - Cardiovascular Imaging and BMC Cardiovascular Disorders.

In The Last Decade

Piers Clifford

7 papers receiving 115 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Piers Clifford United Kingdom	5	80	58	21	19	15	8	117
Aurelia Grosu Italy	7	117 1.5×	38 0.7×	19 0.9×	20 1.1×	7 0.5×	20	151
Filippo Toriello Italy	6	99 1.2×	28 0.5×	28 1.3×	15 0.8×	27 1.8×	16	146
Marija Petrović United States	7	52 0.7×	19 0.3×	44 2.1×	13 0.7×	13 0.9×	23	113
Jonas Lehmacher Germany	8	139 1.7×	55 0.9×	41 2.0×	11 0.6×	9 0.6×	25	173
Luc Cornillet France	6	59 0.7×	47 0.8×	24 1.1×	9 0.5×	3 0.2×	17	121
Halim Marzak France	6	120 1.5×	50 0.9×	45 2.1×	7 0.4×	20 1.3×	18	170
Karolina Kupczyńska Poland	9	129 1.6×	44 0.8×	13 0.6×	13 0.7×	10 0.7×	19	168
Giuseppe De Blasio Italy	7	62 0.8×	38 0.7×	55 2.6×	23 1.2×	5 0.3×	14	100
Savaş Özer Türkiye	6	86 1.1×	14 0.2×	23 1.1×	14 0.7×	24 1.6×	20	115
Filippo Zilio Italy	8	222 2.8×	80 1.4×	83 4.0×	27 1.4×	5 0.3×	24	262

Countries citing papers authored by Piers Clifford

Since Specialization

Citations

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

Fields of papers citing papers by Piers Clifford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piers Clifford

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

All Works

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8 of 8 papers shown

Tutarel, Oktay, Karishma P. Ramlakhan, William E. Wagner, et al.. (2023). Pregnancy outcomes in women with Ebstein’s anomaly: data from the Registry of Pregnancy And Cardiac disease (ROPAC). Open Heart. 10(2). e002406–e002406. 1 indexed citations

Chaplin, Josephine, et al.. (2021). 143 A single centre study assessing the effectiveness of active monitoring, using telemedicine, in preventing heart failure admissions and death in a primary care population with systolic heart failure. A109.1–A109. 1 indexed citations

Seligman, Henry, Sayan Sen, Sukhjinder Nijjer, et al.. (2020). Management of Acute Coronary Syndromes During the Coronavirus Disease 2019 Pandemic: Deviations from Guidelines and Pragmatic Considerations for Patients and Healthcare Workers. Interventional Cardiology Reviews Research Resources. 15. e16–e16.

Stockenhuber, Alexander, et al.. (2020). A pilot study on right ventricular longitudinal strain as a predictor of outcome in COVID‐19 patients with evidence of cardiac involvement. Echocardiography. 38(2). 222–229. 18 indexed citations

Giannitsis, Evangelos, Piers Clifford, Anna Slagman, et al.. (2019). Multicentre cross-sectional observational registry to monitor the safety of early discharge after rule-out of acute myocardial infarction by copeptin and troponin: the Pro-Core registry. BMJ Open. 9(7). e028311–e028311. 29 indexed citations

Mandalia, Mirren, et al.. (2017). Introduction of a novel service model to improve uptake and adherence with cardiac rehabilitation within Buckinghamshire Healthcare NHS Trust. BMC Cardiovascular Disorders. 17(1). 184–184. 7 indexed citations

Mittal, Tarun, Alison Pottle, Mahmoud Barbir, et al.. (2017). Prevalence of obstructive coronary artery disease and prognosis in patients with stable symptoms and a zero-coronary calcium score. European Heart Journal - Cardiovascular Imaging. 18(8). 922–929. 54 indexed citations

Clifford, Piers, et al.. (1960). Continuous intraarterial methotrexate with simultaneous, intermittent, intramuscular citrovorum factor herapy in carcinoma of the cervix.. PubMed. 8. 1–6. 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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