Robert P New

460 total citations
10 papers, 267 citations indexed

About

Robert P New is a scholar working on Pathology and Forensic Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Robert P New has authored 10 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Epidemiology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Robert P New's work include Inflammatory Myopathies and Dermatomyositis (4 papers), Systemic Sclerosis and Related Diseases (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). Robert P New is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (4 papers), Systemic Sclerosis and Related Diseases (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). Robert P New collaborates with scholars based in United Kingdom, United States and Czechia. Robert P New's co-authors include Hector Chinoy, Robert G. Cooper, Neil McHugh, Zoë Betteridge, James B Lilleker, Louise Ekholm, Gavin Shaddick, Katalin Dankó, Levente Bodoki and Maryam Dastmalchi and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and Lara D. Veeken.

In The Last Decade

Robert P New

8 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert P New United Kingdom 4 199 108 43 41 41 10 267
F. Gaches France 9 45 0.2× 88 0.8× 32 0.7× 35 0.9× 48 1.2× 35 259
Nihal Fathi Egypt 6 56 0.3× 46 0.4× 40 0.9× 46 1.1× 42 1.0× 19 379
C. Mavragani Greece 4 161 0.8× 131 1.2× 28 0.7× 50 1.2× 7 0.2× 7 231
Esthela Loyo United States 7 102 0.5× 130 1.2× 21 0.5× 33 0.8× 17 0.4× 9 268
S. Josse France 6 299 1.5× 144 1.3× 52 1.2× 50 1.2× 161 3.9× 10 357
Ágota Hajas Hungary 9 72 0.4× 116 1.1× 28 0.7× 19 0.5× 76 1.9× 14 333
S. Palat France 7 124 0.6× 205 1.9× 34 0.8× 7 0.2× 58 1.4× 26 401
Gianna Mennillo Italy 6 40 0.2× 232 2.1× 54 1.3× 8 0.2× 16 0.4× 9 279
LJ Jara Mexico 5 25 0.1× 136 1.3× 15 0.3× 32 0.8× 35 0.9× 11 252
Roció Redondo‐Rodríguez Spain 11 42 0.2× 105 1.0× 27 0.6× 8 0.2× 118 2.9× 23 255

Countries citing papers authored by Robert P New

Since Specialization
Citations

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

Fields of papers citing papers by Robert P New

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert P New. 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 Robert P New. The network helps show where Robert P New may publish in the future.

Co-authorship network of co-authors of Robert P New

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

All Works

10 of 10 papers shown
1.
Davison, Adrian K., Ashma Krishan, Robert P New, et al.. (2024). Development of a measuring app for systemic sclerosis-related digital ulceration (SALVE: Scleroderma App for Lesion VErification). Lara D. Veeken. 63(12). 3297–3305. 3 indexed citations
2.
d’Alessandro, Miriana, Paolo Cameli, Caroline Cotton, et al.. (2024). Panel of serum biomarkers for differential diagnosis of idiopathic interstitial lung disease and interstitial lung disease-secondary to systemic autoimmune rheumatic disease. PLoS ONE. 19(10). e0311357–e0311357. 2 indexed citations
3.
Betteridge, Zoë, Sarah Tansley, Gavin Shaddick, et al.. (2019). Frequency, mutual exclusivity and clinical associations of myositis autoantibodies in a combined European cohort of idiopathic inflammatory myopathy patients. Journal of Autoimmunity. 101. 48–55. 180 indexed citations
4.
5.
Parker, Matthew, Alexander Oldroyd, Mark Roberts, et al.. (2018). Increasing incidence of adult idiopathic inflammatory myopathies in the City of Salford, UK: a 10-year epidemiological study. Rheumatology Advances in Practice. 2(2). rky035–rky035. 12 indexed citations
6.
Cotton, Caroline, Lisa Spencer, Robert P New, & Robert Cooper. (2016). The utility of comprehensive autoantibody testing to differentiate connective tissue disease associated and idiopathic interstitial lung disease subgroup cases. Lara D. Veeken. 56(8). kew320–kew320. 7 indexed citations
7.
8.
Oldroyd, Alexander, et al.. (2015). OP0279 The Standardised Mortality Rate in UK Adult-Onset Myositis Patients is Seven Times Higher than the UK General Population. Annals of the Rheumatic Diseases. 74. 177–178.
9.
New, John P., Theingi Aung, Paul Baker, et al.. (2008). The high prevalence of unrecognized anaemia in patients with diabetes and chronic kidney disease: a population‐based study. Diabetic Medicine. 25(5). 564–569. 60 indexed citations
10.
Buchan, Iain, Peter Baker, Jayne Houghton, et al.. (2007). The high prevalence of unrecognised anaemia among patients with diabetes and chronic kidney disease: a population-based e-Epidemiology study. Research Explorer (The University of Manchester). 1 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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