Daniel Kearney

421 citations
14 papers · 285 · h-index 7

Impact in

    • IgG4-Related and Inflammatory Diseases
    • Soft tissue tumor case studies
    • Otitis Media and Relapsing Polychondritis
    • Neuroendocrine Tumor Research Advances
    • Autoimmune and Inflammatory Disorders

Papers in

    • IgG4-Related and Inflammatory Diseases 4
    • Soft tissue tumor case studies 2
    • Vascular Malformations and Hemangiomas 2

Daniel Kearney

14 papers receiving 274 citations

Peers

Daniel Kearney
Comparison fields: 5 of 34
  • Rheumatology 194
  • Epidemiology 87
  • Ophthalmology 22
  • Pathology and Forensic Medicine 25
  • Dermatology 12
Replace Fleur Cohen with:
Fleur Cohen France
Paul Brennan United Kingdom
Ana Sueli Rodrigues Cavalcante Brazil
Fumika Honda Japan
Hazan Karadeniz Türkiye
Nazife Şule Yaşar Bilge Türkiye
Seher Şener Türkiye
PP Sfikakis Greece
Vincent Langlois France
L. Coladonato Italy
Daniel Kearney relative to Fleur Cohen France Fleur Cohen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Kearney

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kearney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2012110
2 201467
3 201528
4 201322
5 201320
6 20158
7 20158
8 20155
9 20155
10 20135
11 20143
12 20162
13 20171
14 20151

About Daniel Kearney

Daniel Kearney is a scholar working on Rheumatology, Surgery, Epidemiology, Pathology and Forensic Medicine and Neurology, having authored 14 papers that have together received 285 indexed citations. Recurring topics across this work include IgG4-Related and Inflammatory Diseases (4 papers), Vascular Malformations and Hemangiomas (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Soft tissue tumor case studies (2 papers), Neuroendocrine Tumor Research Advances (2 papers), T-cell and Retrovirus Studies (2 papers), Recycling and Waste Management Techniques (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Rheumatology (194 citations), Epidemiology (87 citations), Ophthalmology (22 citations), Pathology and Forensic Medicine (25 citations) and Dermatology (12 citations). Daniel Kearney has collaborated with scholars based in Australia, Mexico and France. Frequent co-authors include Dinesh Selva, Nicholas H. Andrew, Lloyd Einsiedel, Alastair N. Goss, Olivier Cassar, Peter Bardy, Antoine Gessain, Alan A. McNab, Penny McKelvie and Michelle T. Sun. Their work appears in journals such as Ophthalmic Plastic and Reconstructive Surgery, The Medical Journal of Australia, Pathology, British Journal of Ophthalmology and Emerging infectious diseases.

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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