Daniel Knight

4.4k total citations
61 papers, 1.7k citations indexed

About

Daniel Knight is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel Knight has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cardiology and Cardiovascular Medicine, 22 papers in Pulmonary and Respiratory Medicine and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel Knight's work include Amyloidosis: Diagnosis, Treatment, Outcomes (19 papers), Advanced MRI Techniques and Applications (17 papers) and Cardiovascular Function and Risk Factors (16 papers). Daniel Knight is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (19 papers), Advanced MRI Techniques and Applications (17 papers) and Cardiovascular Function and Risk Factors (16 papers). Daniel Knight collaborates with scholars based in United Kingdom, United States and Singapore. Daniel Knight's co-authors include Marianna Fontana, Tushar Kotecha, James Moon, Ana Martinez–Naharro, Philip N. Hawkins, Peter Kellman, Julian D. Gillmore, Vivek Muthurangu, Thomas A. Treibel and Tamer Rezk and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Daniel Knight

59 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Knight United Kingdom 19 879 742 551 453 357 61 1.7k
Tushar Kotecha United Kingdom 20 768 0.9× 761 1.0× 646 1.2× 463 1.0× 156 0.4× 66 1.7k
Anna S Herrey United Kingdom 17 1.0k 1.2× 422 0.6× 866 1.6× 223 0.5× 134 0.4× 57 1.6k
Paolo Ciliberti Italy 14 396 0.5× 925 1.2× 87 0.2× 448 1.0× 372 1.0× 41 1.3k
Jennifer H. Pinney United Kingdom 26 431 0.5× 1.8k 2.5× 144 0.3× 1.1k 2.3× 143 0.4× 58 2.5k
Dietrich Beitzke Austria 20 474 0.5× 174 0.2× 298 0.5× 93 0.2× 341 1.0× 100 1.1k
David W. Seldin United States 18 232 0.3× 176 0.2× 539 1.0× 452 1.0× 384 1.1× 46 1.6k
Alessia Gimelli Italy 28 1.3k 1.5× 131 0.2× 1.8k 3.2× 43 0.1× 272 0.8× 171 2.6k
Florian André Germany 19 1.0k 1.1× 178 0.2× 656 1.2× 69 0.2× 115 0.3× 108 1.3k
Kenji Fukushima Japan 21 436 0.5× 83 0.1× 665 1.2× 65 0.1× 180 0.5× 134 1.3k
Matthieu Pelletier‐Galarneau Canada 16 186 0.2× 145 0.2× 308 0.6× 59 0.1× 155 0.4× 87 758

Countries citing papers authored by Daniel Knight

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Knight

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Knight. A scholar is included among the top collaborators of Daniel Knight 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 Daniel Knight. Daniel Knight 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.
Stubbs, Harrison, John Cannon, Chloe Roddis, et al.. (2024). Sendaway capillary NT-proBNP in pulmonary hypertension. BMJ Open Respiratory Research. 11(1). e002124–e002124. 2 indexed citations
2.
Patel, Rishi, Ana Martinez–Naharro, Yousuf Razvi, et al.. (2024). 5 Cardiovascular magnetic resonance (CMR) in transthyretin amyloid cardiomyopathy – a study of natural history and treatment repsonse. Abstracts. A2.1–A2. 1 indexed citations
3.
Howard, Luke, Martin Johnson, David G. Kiely, et al.. (2023). Predictors of outcomes in mild pulmonary hypertension according to 2022 ESC/ERS Guidelines: the EVIDENCE-PAH UK study. European Heart Journal. 44(44). 4678–4691. 20 indexed citations
4.
Kotecha, Tushar, et al.. (2023). Pulmonary hypertension – the latest updates for physicians. Clinical Medicine. 23(5). 449–454. 5 indexed citations
5.
Ioannou, Adam, Rishi Patel, Yousuf Razvi, et al.. (2022). Abstract 10064: Tracking Multi-Organ Treatment Response in Systemic Al-Amyloidosis With Cardiac Magnetic Resonance Derived Extracellular Volume Mapping. Circulation. 146(Suppl_1). 1 indexed citations
6.
Willis, James, Fiona L. Wilkinson, Robert Ross, et al.. (2022). IMproving PULmonary hypertension Screening by Echocardiography: IMPULSE. Echo Research and Practice. 9(1). 9–9. 6 indexed citations
7.
Ioannou, Adam, Rishi Patel, Yousuf Razvi, et al.. (2022). Multi-Imaging Characterization of Cardiac Phenotype in Different Types of Amyloidosis. JACC. Cardiovascular imaging. 16(4). 464–477. 28 indexed citations
8.
Kotecha, Tushar, Omar Chehab, Ana Martinez–Naharro, et al.. (2020). Assessment of Multivessel Coronary Artery Disease Using Cardiovascular Magnetic Resonance Pixelwise Quantitative Perfusion Mapping. JACC. Cardiovascular imaging. 13(12). 2546–2557. 42 indexed citations
9.
Kotecha, Tushar, Ana Martinez–Naharro, Michele Boldrini, et al.. (2019). Automated Pixel-Wise Quantitative Myocardial Perfusion Mapping by CMR to Detect Obstructive Coronary Artery Disease and Coronary Microvascular Dysfunction. JACC. Cardiovascular imaging. 12(10). 1958–1969. 154 indexed citations
10.
Baggiano, Andrea, Michele Boldrini, Ana Martinez–Naharro, et al.. (2019). Noncontrast Magnetic Resonance for the Diagnosis of Cardiac Amyloidosis. JACC. Cardiovascular imaging. 13(1). 69–80. 126 indexed citations
11.
Knight, Daniel, Tushar Kotecha, Ana Martinez–Naharro, et al.. (2019). Cardiovascular magnetic resonance-guided right heart catheterization in a conventional CMR environment – predictors of procedure success and duration in pulmonary artery hypertension. Journal of Cardiovascular Magnetic Resonance. 21(1). 57–57. 28 indexed citations
12.
Kotecha, Tushar, Ana Martinez–Naharro, Thomas A. Treibel, et al.. (2018). Myocardial Edema and Prognosis in Amyloidosis. Journal of the American College of Cardiology. 71(25). 2919–2931. 140 indexed citations
13.
Martinez–Naharro, Ana, Tushar Kotecha, Michele Boldrini, et al.. (2018). Native T1 and Extracellular Volume in Transthyretin Amyloidosis. JACC. Cardiovascular imaging. 12(5). 810–819. 193 indexed citations
14.
Knight, Daniel, Giulia Zumbo, William Barcella, et al.. (2018). Cardiac Structural and Functional Consequences of Amyloid Deposition by Cardiac Magnetic Resonance and Echocardiography and Their Prognostic Roles. JACC. Cardiovascular imaging. 12(5). 823–833. 119 indexed citations
15.
Martinez–Naharro, Ana, Thomas A. Treibel, Amna Abdel‐Gadir, et al.. (2017). Magnetic Resonance in Transthyretin Cardiac Amyloidosis. Journal of the American College of Cardiology. 70(4). 466–477. 275 indexed citations
16.
Martinez–Naharro, Ana, Amna Abdel‐Gadir, Thomas A. Treibel, et al.. (2016). Abstract 14407: Regression of Cardiac AL Amyloid by Cardiovascular Magnetic Resonance. Circulation. 134. 2 indexed citations
17.
Bulluck, Heerajnarain, Matthew Hammond‐Haley, Marianna Fontana, et al.. (2016). Quantification of both the area-at-risk and acute myocardial infarct size in ST-segment elevation myocardial infarction using T1-mapping. Journal of Cardiovascular Magnetic Resonance. 19(1). 57–57. 35 indexed citations
18.
Sharma, Vishal, Helen McNamara, Richard P. Steeds, et al.. (2015). A safety checklist for transoesophageal echocardiography from the British Society of Echocardiography and the Association of Cardiothoracic Anaesthetists. Echo Research and Practice. 2(4). G25–G27. 7 indexed citations
19.
Knight, Daniel, et al.. (2015). Accuracy and Test-Retest Reproducibility of Two-Dimensional Knowledge-Based Volumetric Reconstruction of the Right Ventricle in Pulmonary Hypertension. Journal of the American Society of Echocardiography. 28(8). 989–998. 16 indexed citations
20.
Knight, Daniel, Agata Grasso, Michael A. Quail, et al.. (2014). Accuracy and Reproducibility of Right Ventricular Quantification in Patients with Pressure and Volume Overload Using Single-Beat Three-Dimensional Echocardiography. Journal of the American Society of Echocardiography. 28(3). 363–374. 49 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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