Mick Arber

32 papers receiving 608 citations

Peers

Mick Arber
Comparison fields: 5 of 108
  • Applied Microbiology and Biotechnology 56
  • Molecular Medicine 49
  • Critical Care and Intensive Care Medicine 35
  • Clinical Biochemistry 44
  • Radiology, Nuclear Medicine and Imaging 95
Replace Elivane da Silva Victor with:
Elivane da Silva Victor Brazil
Charu Taneja United States
Jennifer Kranz Germany
Eric Taylor United Kingdom
Nathalie Gault France
José Luís Poveda-Andrés Spain
Shachaf Shiber Israel
Noam Tau Israel
Emanuela Foglia Italy
Evangelos Manolis Greece
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Citations per year

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-authors

The 25 scholars most cited alongside Mick Arber, 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 Mick Arber Line = papers co-authored together Mick Arber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201670
2 201966
3 202064
4 202063
5 201659
6 201429
7 201529
8 201727
9 202127
10 201725
11 201823
12 201822
13 202016
14 201615
15 202215
16 201913
17 202212
18 201711
19 20158
20 20147

About Mick Arber

Mick Arber is a scholar working on Clinical Biochemistry, Public Health, Environmental and Occupational Health, Economics and Econometrics, Infectious Diseases and Surgery, having authored 34 papers that have together received 628 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Nosocomial Infections in ICU (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Pneumonia and Respiratory Infections (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (56 citations), Molecular Medicine (49 citations), Critical Care and Intensive Care Medicine (35 citations), Clinical Biochemistry (44 citations) and Radiology, Nuclear Medicine and Imaging (95 citations). Mick Arber has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Julie Glanville, Rachael McCool, Kelly Fleetwood, Mary Edwards, Joyce Craig, Giovanni Sotgiu, Davide Manissero, Jacoby Patterson, Susan Edwards and Jordi Rello. Their work appears in journals such as Value in Health, Applied Health Economics and Health Policy, BMJ Open, International Journal of Technology Assessment in Health Care and The Ocular Surface.

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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