Mick Arber

953 total citations
34 papers, 628 citations indexed

About

Mick Arber is a scholar working on Clinical Biochemistry, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Mick Arber has authored 34 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Biochemistry, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Economics and Econometrics. Recurrent topics in Mick Arber's work include Health Systems, Economic Evaluations, Quality of Life (4 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Mitochondrial Function and Pathology (2 papers). Mick Arber is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (4 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Mitochondrial Function and Pathology (2 papers). Mick Arber collaborates with scholars based in United Kingdom, United States and Italy. Mick Arber's co-authors include Julie Glanville, Rachael McCool, Kelly Fleetwood, Mary Edwards, Joyce Craig, Jacoby Patterson, Davide Manissero, Giovanni Sotgiu, Francesco Blasi and Stefano Aliberti and has published in prestigious journals such as SHILAP Revista de lepidopterología, CHEST Journal and Journal of the Neurological Sciences.

In The Last Decade

Mick Arber

32 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mick Arber United Kingdom 15 127 103 95 76 58 34 628
Charu Taneja United States 15 110 0.9× 170 1.7× 62 0.7× 85 1.1× 254 4.4× 38 945
Evelyn R. Hermes‐DeSantis United States 13 182 1.4× 40 0.4× 139 1.5× 76 1.0× 74 1.3× 43 760
Katelin B. Nickel United States 17 169 1.3× 67 0.7× 31 0.3× 118 1.6× 66 1.1× 77 960
Maite Antonio Spain 12 97 0.8× 93 0.9× 35 0.4× 114 1.5× 54 0.9× 26 577
Noam Tau Israel 20 217 1.7× 59 0.6× 233 2.5× 290 3.8× 196 3.4× 66 1.1k
Yale D. Podnos United States 19 176 1.4× 184 1.8× 96 1.0× 211 2.8× 52 0.9× 35 1.7k
Yuqi Zhou China 17 188 1.5× 46 0.4× 46 0.5× 323 4.3× 134 2.3× 55 906
Emanuela Foglia Italy 13 73 0.6× 53 0.5× 25 0.3× 24 0.3× 69 1.2× 79 429
Nathalie Gault France 13 157 1.2× 34 0.3× 29 0.3× 150 2.0× 44 0.8× 31 689
Andja Ćirković Serbia 18 79 0.6× 60 0.6× 25 0.3× 22 0.3× 94 1.6× 67 809

Countries citing papers authored by Mick Arber

Since Specialization
Citations

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

Fields of papers citing papers by Mick Arber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mick Arber

This figure shows the co-authorship network connecting the top 25 collaborators of Mick Arber. A scholar is included among the top collaborators of Mick Arber 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 Mick Arber. Mick Arber 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
2.
Arun, Tarunya, Colin Green, Heather Davies, et al.. (2024). Literature review and meta-analysis of natalizumab therapy for the treatment of highly active relapsing remitting multiple sclerosis in the ‘suboptimal therapy’ patient population. Journal of the Neurological Sciences. 464. 123172–123172. 1 indexed citations
3.
Bertini, Enrico, Chris Bartlett, Mick Arber, et al.. (2023). The burden of mitochondrial disease with associated seizures: systematic literature reviews of health-related quality of life, utilities, costs and healthcare resource use data. Orphanet Journal of Rare Diseases. 18(1). 320–320. 2 indexed citations
4.
Davies, Heather, et al.. (2023). myCOPD App for Managing Chronic Obstructive Pulmonary Disease: A NICE Medical Technology Guidance for a Digital Health Technology. Applied Health Economics and Health Policy. 21(5). 689–700. 5 indexed citations
5.
Bartlett, Chris, et al.. (2022). HSD29 Costs and Healthcare Resource Use Data in Mitochondrial Diseases Associated with Seizures: A Systematic Literature Review. Value in Health. 25(7). S485–S485. 1 indexed citations
6.
Fautrel, Bruno, Jacoby Patterson, Mick Arber, et al.. (2022). Systematic review on the use of biologics in adult-onset still's disease. Seminars in Arthritis and Rheumatism. 58. 152139–152139. 15 indexed citations
7.
Figueiredo, Francisco C., et al.. (2021). A systematic review of cellular therapies for the treatment of limbal stem cell deficiency affecting one or both eyes. The Ocular Surface. 20. 48–61. 27 indexed citations
8.
Myall, Michelle, Alison Rowsell, Susi Lund, et al.. (2020). Death and dying in prehospital care: what are the experiences and issues for prehospital practitioners, families and bystanders? A scoping review. BMJ Open. 10(9). e036925–e036925. 16 indexed citations
9.
Marshall, Caroline, Judith Shore, Mick Arber, et al.. (2019). Mepilex Border Sacrum and Heel Dressings for the Prevention of Pressure Ulcers: A NICE Medical Technology Guidance. Applied Health Economics and Health Policy. 17(4). 453–465. 13 indexed citations
11.
Arber, Mick, et al.. (2017). PERFORMANCE OF OVID MEDLINE SEARCH FILTERS TO IDENTIFY HEALTH STATE UTILITY STUDIES. International Journal of Technology Assessment in Health Care. 33(4). 472–480. 25 indexed citations
12.
Arber, Mick, et al.. (2017). Spectra Optia® for Automated Red Blood Cell Exchange in Patients with Sickle Cell Disease: A NICE Medical Technology Guidance. Applied Health Economics and Health Policy. 15(4). 455–468. 6 indexed citations
13.
Arber, Mick, Hannah Wood, Jaana Isojärvi, & Julie Glanville. (2017). Which Information Sources Should Be Used To Identify Studies for Systematic Reviews of Economic Evaluations In Healthcare?. Value in Health. 20(9). A738–A738. 1 indexed citations
15.
Bartlett, Chris, et al.. (2016). Systematic Literature Review of Utility Data For House Dust Mite-Induced Allergic Asthma and/or Allergic Rhinitis. Value in Health. 19(7). A557–A557. 1 indexed citations
16.
Freemantle, Nick, David A. Ginsberg, Rachael McCool, et al.. (2016). Comparative assessment of onabotulinumtoxinA and mirabegron for overactive bladder: an indirect treatment comparison. BMJ Open. 6(2). e009122–e009122. 15 indexed citations
17.
Arber, Mick, et al.. (2016). Performance of Search Filters to Identify Health State Utility Studies. Value in Health. 19(7). A390–A391. 1 indexed citations
19.
Craig, Joyce, James Mahon, Ann Yellowlees, et al.. (2014). Epithelium-Off Photochemical Corneal Collagen Cross-Linkage Using Riboflavin and Ultraviolet A for Keratoconus and Keratectasia: A Systematic Review and Meta-Analysis. The Ocular Surface. 12(3). 202–214. 29 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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