Daniel Knight

59 papers receiving 1.7k citations

Peers

Daniel Knight
Comparison fields: 5 of 64
  • Nephrology 453
  • Cardiology and Cardiovascular Medicine 879
  • Radiology, Nuclear Medicine and Imaging 551
  • Pulmonary and Respiratory Medicine 357
  • Molecular Biology 742
Replace Tushar Kotecha with:
Tushar Kotecha United Kingdom
Paolo Ciliberti Italy
Anna S Herrey United Kingdom
Dietrich Beitzke Austria
Jennifer H. Pinney United Kingdom
David W. Seldin United States
Matthieu Pelletier‐Galarneau Canada
Alessia Gimelli Italy
Florian André Germany
Kenji Fukushima Japan
Daniel Knight relative to Tushar Kotecha United Kingdom Tushar Kotecha's profile →
Citations per field
00.5×10×13.5×
Tushar Kotecha · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Knight, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Knight Line = papers co-authored together Daniel Knight links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017275
2 2018193
3 2019154
4 2018140
5 2019126
6 2018119
7 2020117
8 201552
9 201449
10 202042
11 201538
12 201635
13 201634
14 202228
15 201928
16 201927
17 202320
18 201319
19 201319
20 201516

About Daniel Knight

Daniel Knight is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Nephrology, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (19 papers), Advanced MRI Techniques and Applications (17 papers), Cardiovascular Function and Risk Factors (16 papers), Parathyroid Disorders and Treatments (15 papers), Pulmonary Hypertension Research and Treatments (15 papers), Cardiac Imaging and Diagnostics (15 papers), Systemic Sclerosis and Related Diseases (7 papers) and Cardiovascular Effects of Exercise (5 papers). The work is most often cited by research in Nephrology (453 citations), Cardiology and Cardiovascular Medicine (879 citations), Radiology, Nuclear Medicine and Imaging (551 citations), Pulmonary and Respiratory Medicine (357 citations) and Molecular Biology (742 citations). Daniel Knight has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent 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. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, JACC. Cardiovascular imaging, European Heart Journal - Cardiovascular Imaging, Scientific Reports and Magnetic Resonance in Medicine.

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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