Ben Mulhearn

2.4k citations
12 papers · 145 · h-index 8

Impact in

    • Systemic Lupus Erythematosus Research
    • Rheumatoid Arthritis Research and Therapies
    • Eosinophilic Disorders and Syndromes
    • Platelet Disorders and Treatments

Papers in

    • Systemic Lupus Erythematosus Research 4
    • Rheumatoid Arthritis Research and Therapies 2
    • Inflammatory Myopathies and Dermatomyositis 4

Ben Mulhearn

11 papers receiving 141 citations

Peers

Ben Mulhearn
Comparison fields: 5 of 31
  • Rheumatology 60
  • Hematology 22
  • Immunology 41
  • Epidemiology 46
  • Pathology and Forensic Medicine 21
Replace Gianfranco Vitiello with:
Gianfranco Vitiello Italy
Rabheh Abdul‐Aziz United States
Emma Shittu United Kingdom
Kastriot Kastrati Austria
Marie‐Therese Holzer Germany
Ayako Ohyama Japan
J. Séguier France
Suguru Honda Japan
Ilias Lazarou Switzerland
Éric Fortin United States
Ben Mulhearn relative to Gianfranco Vitiello Italy Gianfranco Vitiello's profile →
Citations per field
00.5×11×
Gianfranco Vitiello · 1×
Citations per year

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-authors

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

All Works

12 of 12 papers shown
#Work
1 201460
2 201918
3 201917
4 202210
5 20239
6 20218
7 20228
8 20168
9 20234
10 20212
11 20221
12 20240

About Ben Mulhearn

Ben Mulhearn is a scholar working on Rheumatology, Epidemiology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Hematology, having authored 12 papers that have together received 145 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (4 papers), Systemic Lupus Erythematosus Research (4 papers), Vasculitis and related conditions (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Autoimmune and Inflammatory Disorders Research (1 paper), Systemic Sclerosis and Related Diseases (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Rheumatology (60 citations), Hematology (22 citations), Immunology (41 citations), Epidemiology (46 citations) and Pathology and Forensic Medicine (21 citations). Ben Mulhearn has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Ian N Bruce, Sarah Tansley, Neil McHugh, Anne Barton, Sébastien Viatte, Hui Lu, John D Pauling, Kingston H. G. Mills, Dirk Elewaut and Mark A. Exley. Their work appears in journals such as Frontiers in Immunology, Lara D. Veeken, Journal of Personalized Medicine, The Journal of Rheumatology and Best Practice & Research Clinical Rheumatology.

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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