Daniel Kearney

414 citations
14 papers · 260 · h-index 7

Impact in

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

Papers in

    • IgG4-Related and Inflammatory Diseases 5
    • Soft tissue tumor case studies 3
    • Vascular Malformations and Hemangiomas 2

Daniel Kearney

14 papers receiving 255 citations

Peers

Daniel Kearney
Comparison fields: 5 of 37
  • Rheumatology 196
  • Epidemiology 124
  • Ophthalmology 30
  • Agronomy and Crop Science 18
  • Pathology and Forensic Medicine 31
Replace Rebecca Nicolai with:
Rebecca Nicolai Italy
J. B. Kuemmerle‐Deschner Germany
H. Gheitasi Spain
Brighu Swamy Australia
Pablo Chicharro Spain
Fumika Honda Japan
C. Pajot France
Carlos González-Juanatey Spain
R M de Oliveira Brazil
Nazife Şule Yaşar Bilge Türkiye
Daniel Kearney relative to Rebecca Nicolai Italy Rebecca Nicolai's profile →
Citations per field
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Rebecca Nicolai · 1×
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 201297
2 201463
3 201525
4 201322
5 201320
6 20158
7 20158
8 20155
9 20154
10 20143
11 20162
12 20171
13 20131
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 260 indexed citations. Recurring topics across this work include IgG4-Related and Inflammatory Diseases (5 papers), Soft tissue tumor case studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Lymphoma Diagnosis and Treatment (2 papers), T-cell and Retrovirus Studies (2 papers), Vascular Malformations and Hemangiomas (2 papers), Recycling and Waste Management Techniques (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Rheumatology (196 citations), Epidemiology (124 citations), Ophthalmology (30 citations), Agronomy and Crop Science (18 citations) and Pathology and Forensic Medicine (31 citations). Daniel Kearney has collaborated with scholars based in Australia, Mexico and Morocco. Frequent co-authors include Dinesh Selva, Nicholas H. Andrew, Antoine Gessain, Lloyd Einsiedel, Alastair N. Goss, Olivier Cassar, Peter Bardy, Penny McKelvie, Alan A. McNab and Michelle T. Sun. Their work appears in journals such as Ophthalmic Plastic and Reconstructive Surgery, Australasian Journal of Dermatology, British Journal of Ophthalmology, The Medical Journal of Australia and American Journal of Ophthalmology.

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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