Daniel Kearney

414 total citations
14 papers, 260 citations indexed

About

Daniel Kearney is a scholar working on Rheumatology, Surgery and Epidemiology. According to data from OpenAlex, Daniel Kearney has authored 14 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 5 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Daniel Kearney's work include IgG4-Related and Inflammatory Diseases (5 papers), Neuroendocrine Tumor Research Advances (3 papers) and Soft tissue tumor case studies (3 papers). Daniel Kearney is often cited by papers focused on IgG4-Related and Inflammatory Diseases (5 papers), Neuroendocrine Tumor Research Advances (3 papers) and Soft tissue tumor case studies (3 papers). Daniel Kearney collaborates with scholars based in Australia, Mexico and Morocco. Daniel Kearney's co-authors include Dinesh Selva, Nicholas H. Andrew, Olivier Cassar, Antoine Gessain, Alastair N. Goss, Peter Bardy, Lloyd Einsiedel, Michelle T. Sun, Alan A. McNab and Penny McKelvie and has published in prestigious journals such as Emerging infectious diseases, American Journal of Ophthalmology and British Journal of Ophthalmology.

In The Last Decade

Daniel Kearney

14 papers receiving 255 citations

Peers

Daniel Kearney
Comparison fields: 5 of 37
  • Rheumatology 196
  • Epidemiology 124
  • Surgery 75
  • Pathology and Forensic Medicine 31
  • Ophthalmology 30
Replace Carlos González-Juanatey with:
Carlos González-Juanatey Spain
Pablo Chicharro Spain
Rebecca Nicolai Italy
C. Pajot France
Mariame Meziane Morocco
Brighu Swamy Australia
Nurdan Lenk Türkiye
Ali Karakuzu Türkiye
J. B. Kuemmerle‐Deschner Germany
Navdeep Nijhawan Canada
Carlos González-Juanatey Spain View profile →
Citations per field, relative to Daniel Kearney
Daniel Kearney · 1×
Citations per year, relative to Daniel Kearney
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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-authorship network of co-authors of Daniel Kearney

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 2
3 8
4 8
5 4
6 25
7 5
8 1
9 3
10 63
11 22
12 1
13 20
14 97

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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