Ben Mulhearn

2.3k total citations
12 papers, 143 citations indexed

About

Ben Mulhearn is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Ben Mulhearn has authored 12 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Epidemiology. Recurrent topics in Ben Mulhearn's work include Systemic Lupus Erythematosus Research (5 papers), Vasculitis and related conditions (4 papers) and Inflammatory Myopathies and Dermatomyositis (4 papers). Ben Mulhearn is often cited by papers focused on Systemic Lupus Erythematosus Research (5 papers), Vasculitis and related conditions (4 papers) and Inflammatory Myopathies and Dermatomyositis (4 papers). Ben Mulhearn collaborates with scholars based in United Kingdom, United States and Netherlands. Ben Mulhearn's co-authors include Ian N Bruce, Neil McHugh, Sarah Tansley, Sébastien Viatte, Anne Barton, Hui Lu, Dirk Elewaut, Mark A. Exley, Kingston H. G. Mills and George C. Tsokos and has published in prestigious journals such as Frontiers in Immunology, Nature Reviews Rheumatology and Lara D. Veeken.

In The Last Decade

Ben Mulhearn

10 papers receiving 139 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Mulhearn United Kingdom 8 79 47 43 26 25 12 143
Gianfranco Vitiello Italy 8 91 1.2× 68 1.4× 45 1.0× 22 0.8× 20 0.8× 23 208
Rabheh Abdul‐Aziz United States 5 66 0.8× 51 1.1× 67 1.6× 14 0.5× 22 0.9× 22 172
Ilias Lazarou Switzerland 6 80 1.0× 68 1.4× 24 0.6× 13 0.5× 12 0.5× 22 154
María Alicia Lázaro Argentina 9 142 1.8× 37 0.8× 36 0.8× 56 2.2× 24 1.0× 19 183
Rosa Serrano Spain 6 101 1.3× 18 0.4× 52 1.2× 15 0.6× 27 1.1× 11 167
Ching-Tsai Lin Taiwan 7 98 1.2× 23 0.5× 22 0.5× 14 0.5× 14 0.6× 15 154
Aideen Hogan United Kingdom 8 89 1.1× 34 0.7× 23 0.5× 19 0.7× 24 1.0× 9 296
Jun Inamo Japan 8 52 0.7× 29 0.6× 45 1.0× 26 1.0× 7 0.3× 24 160
J. Séguier France 6 37 0.5× 27 0.6× 35 0.8× 26 1.0× 32 1.3× 19 114
Bettina Bannert Switzerland 7 62 0.8× 12 0.3× 35 0.8× 22 0.8× 22 0.9× 13 158

Countries citing papers authored by Ben Mulhearn

Since Specialization
Citations

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

Fields of papers citing papers by Ben Mulhearn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Mulhearn

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

All Works

12 of 12 papers shown
1.
Helliwell, Philip, Marc R. Kok, Marijn Vis, et al.. (2024). The Development and Validation of a Novel Training Infographic for the Physician Global Visual Analog Scale in Psoriatic Arthritis. The Journal of Rheumatology. 51(11). 1084–1091.
2.
Mulhearn, Ben, et al.. (2023). Incidence of giant cell arteritis is associated with COVID-19 prevalence: A population-level retrospective study. Heliyon. 9(7). e17899–e17899. 3 indexed citations
3.
Mulhearn, Ben, Susan Hannes, Chamith Y. Fonseka, et al.. (2023). Automated clustering reveals CD4+ T cell subset imbalances in rheumatoid arthritis. Frontiers in Immunology. 14. 1094872–1094872. 9 indexed citations
4.
5.
Mulhearn, Ben, et al.. (2022). A Commercial Anti-TIF1γ ELISA Is Superior to Line and Dot Blot and Should Be Considered as Part of Routine Myositis-Specific Antibody Testing. Frontiers in Immunology. 13. 804037–804037. 10 indexed citations
7.
Mulhearn, Ben, et al.. (2021). Rituximab fails to treat giant cell arteritis in a patient with ACPA-positive rheumatoid arthritis. Rheumatology Advances in Practice. 5(1). rkab020–rkab020. 2 indexed citations
9.
Mulhearn, Ben, Sarah Tansley, & Neil McHugh. (2019). Autoantibodies in connective tissue disease. Best Practice & Research Clinical Rheumatology. 34(1). 101462–101462. 18 indexed citations
10.
Mulhearn, Ben, Anne Barton, & Sébastien Viatte. (2019). Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis. Journal of Personalized Medicine. 9(4). 46–46. 17 indexed citations
11.
Exley, Mark A., George C. Tsokos, Kingston H. G. Mills, Dirk Elewaut, & Ben Mulhearn. (2016). What rheumatologists need to know about innate lymphocytes. Nature Reviews Rheumatology. 12(11). 658–668. 8 indexed citations
12.
Mulhearn, Ben & Ian N Bruce. (2014). Indications for IVIG in rheumatic diseases. Lara D. Veeken. 54(3). 383–391. 60 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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