Paul Robinson

3.6k total citations · 1 hit paper
73 papers, 2.6k citations indexed

About

Paul Robinson is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Paul Robinson has authored 73 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 16 papers in Molecular Biology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Paul Robinson's work include Cardiomyopathy and Myosin Studies (23 papers), Cardiovascular Effects of Exercise (15 papers) and Muscle Physiology and Disorders (10 papers). Paul Robinson is often cited by papers focused on Cardiomyopathy and Myosin Studies (23 papers), Cardiovascular Effects of Exercise (15 papers) and Muscle Physiology and Disorders (10 papers). Paul Robinson collaborates with scholars based in United Kingdom, United States and Germany. Paul Robinson's co-authors include Charles Redwood, Hugh Watkins, Michael Clare‐Salzler, Jide Tian, Thomas G. Forsthuber, Mark A. Atkinson, Allan J. Tobin, Daniel L. Kaufman, Eli E. Sercarz and Paul Lehmann and has published in prestigious journals such as Nature, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Paul Robinson

67 papers receiving 2.6k citations

Hit Papers

Spontaneous loss of T-cell tolerance to glutamic acid dec... 1993 2026 2004 2015 1993 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Robinson United Kingdom 25 1.2k 833 793 528 503 73 2.6k
Sonia Shah United Kingdom 21 262 0.2× 1.2k 1.4× 609 0.8× 289 0.5× 560 1.1× 50 2.6k
Brendan J. Keating United States 28 200 0.2× 909 1.1× 823 1.0× 252 0.5× 401 0.8× 102 2.8k
Wayne V. Moore United States 30 250 0.2× 923 1.1× 908 1.1× 166 0.3× 600 1.2× 88 2.6k
Duncan MacGregor Australia 32 401 0.3× 1.1k 1.3× 317 0.4× 1.5k 2.8× 237 0.5× 81 3.4k
Daniel L. Metzger Canada 29 187 0.2× 649 0.8× 621 0.8× 283 0.5× 427 0.8× 82 2.5k
Pankaj B. Agrawal United States 31 663 0.6× 1.4k 1.7× 749 0.9× 91 0.2× 355 0.7× 142 3.0k
Sandra L. Blethen United States 35 408 0.3× 1.6k 1.9× 906 1.1× 129 0.2× 481 1.0× 105 3.9k
Lahiru Handunnetthi United Kingdom 20 328 0.3× 441 0.5× 290 0.4× 661 1.3× 227 0.5× 41 2.9k
Hui‐Qi Qu United States 26 121 0.1× 829 1.0× 801 1.0× 315 0.6× 434 0.9× 138 2.4k
P. Bischof Switzerland 41 154 0.1× 940 1.1× 370 0.5× 1.6k 3.0× 362 0.7× 167 4.8k

Countries citing papers authored by Paul Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Paul Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Robinson. A scholar is included among the top collaborators of Paul Robinson 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 Paul Robinson. Paul Robinson 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.
Naidu, SB, Paul Robinson, Shivani A. Patel, et al.. (2025). Improving uptake of lung cancer screening: an observational study on the impact of timed appointments and reminders. Thorax. 80(5). 339–342. 1 indexed citations
2.
Robinson, Paul, Alexander J. Sparrow, Violetta Steeples, et al.. (2023). Comparing the effects of chemical Ca2+ dyes and R-GECO on contractility and Ca2+ transients in adult and human iPSC cardiomyocytes. Journal of Molecular and Cellular Cardiology. 180. 44–57. 10 indexed citations
3.
Gianfrancesco, Milena, Zara Izadi, Claire Harrison, et al.. (2020). Race/ethnicity Is Associated with Poor Health Outcomes Amongst Rheumatic Disease Patients Diagnosed with COVID-19 in the US: Data from the COVID-19 Global Rheumatology Alliance Physician-Reported Registry. Arthritis & Rheumatism. 72. 3–3. 1 indexed citations
4.
Boycott, Hannah E., et al.. (2020). Nitric Oxide and Mechano-Electrical Transduction in Cardiomyocytes. Frontiers in Physiology. 11. 606740–606740. 21 indexed citations
5.
Robinson, Paul, Xing Liu, Yinhua Zhang, et al.. (2016). Novel Potential Treatment of Familial Hypertrophic Cardiomyopathy with Analogues of the Green Tea Polyphenol Epigallocatechin-3-Gallate. Biophysical Journal. 110(3). 125a–125a. 4 indexed citations
6.
8.
Robinson, Paul, et al.. (2013). The nemaline myopathy-causing E117K mutation in β-tropomyosin reduces thin filament activation. Archives of Biochemistry and Biophysics. 536(1). 25–30. 7 indexed citations
9.
Borovikov, Yurii S., et al.. (2011). The effect of the dilated cardiomyopathy-causing Glu40Lys TPM1 mutation on actin-myosin interactions during the ATPase cycle. Biochemical and Biophysical Research Communications. 411(3). 496–500. 12 indexed citations
10.
Lakdawala, Neal K., Lisa Dellefave, Charles Redwood, et al.. (2010). Familial Dilated Cardiomyopathy Caused by an Alpha-Tropomyosin Mutation. Journal of the American College of Cardiology. 55(4). 320–329. 94 indexed citations
11.
Borovikov, Yurii S., et al.. (2009). The effect of the dilated cardiomyopathy-causing mutation Glu54Lys of α-tropomyosin on actin–myosin interactions during the ATPase cycle. Archives of Biochemistry and Biophysics. 489(1-2). 20–24. 10 indexed citations
12.
Robinson, Paul, et al.. (2007). Alteration of beta-tropomyosin function by nernaline myopathy-causing mutations E117K and Q147P. Biophysical Journal. 1 indexed citations
13.
14.
Marston, Steven B., Ruth Willott, Christopher Ashley, et al.. (2005). Dilated Cardiomyopathy Mutations in Three Thin Filament Regulatory Proteins Result in a Common Functional Phenotype. Journal of Biological Chemistry. 280(31). 28498–28506. 131 indexed citations
15.
Morrell, Nicholas W., et al.. (2005). Pilot study of losartan for pulmonary hypertension in chronic obstructive pulmonary disease. Respiratory Research. 6(1). 88–88. 52 indexed citations
16.
Robinson, Paul, et al.. (2004). Mechanical effects of human cardiac troponin C mutation Gly159Asp in exchanged rabbit psoas fibres. Biophysical Journal. 86. 3 indexed citations
17.
Robinson, Paul, et al.. (2002). Comparison of the functional effects of mutations in troponin T which cause dilated and hypertrophic cardiomyopathies. Biophysical Journal. 82. 1 indexed citations
18.
Robinson, Paul, et al.. (1996). Oral Mycobacterium avium complex infection in a patient with HIV-related disease. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 81(2). 177–179. 13 indexed citations
19.
Robinson, Paul. (1991). Signal transduction by GPI-anchored membrane proteins. Cell Biology International Reports. 15(9). 761–767. 40 indexed citations
20.
Robinson, Paul, Mordechai Shohat, Robin M. Winter, et al.. (1988). A unique association of short stature, dysmorphic features, and speech impairment (Floating-harbor syndrome). The Journal of Pediatrics. 113(4). 703–706. 41 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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