Kim C. Donaghue

15.9k citations
180 papers · 7.7k indexed · h-index 50
Topics
Diabetes Management and Research (76 papers)Diabetes and associated disorders (60 papers)Retinal Diseases and Treatments (36 papers)

In The Last Decade

Kim C. Donaghue

174 papers receiving 7.4k citations

Peers

Kim C. Donaghue
Comparison fields: 5 of 148
  • Endocrinology, Diabetes and Metabolism 4.0k
  • Genetics 2.8k
  • Surgery 2.1k
  • Ophthalmology 1.2k
  • Radiology, Nuclear Medicine and Imaging 1.1k
Replace G. Sundkvist with:
G. Sundkvist Sweden
Kristian F. Hanssen Norway
Jay M. Sosenko United States
Raelene E. Maser United States
B F Clarke United Kingdom
F. John Service United States
Jun Hata Japan
Jan Bolinder Sweden
Uazman Alam United Kingdom
Yasuharu Tabara Japan
Kim C. Donaghue relative to G. Sundkvist Sweden G. Sundkvist's profile →
Citations per field
00.5×5.6×
G. Sundkvist · 1×
Citations per year

Countries citing papers authored by Kim C. Donaghue

Since Specialization
Citations

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

Fields of papers citing papers by Kim C. Donaghue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim C. Donaghue. 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 Kim C. Donaghue. The network helps show where Kim C. Donaghue may publish in the future.

Co-authorship network of co-authors of Kim C. Donaghue

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 1
6 4
7 9
8 4
9 8
10 5
11 19
12 10
13 34
14 33
15 202
16 25
17 133
18 67
19 251
20 63

About Kim C. Donaghue

Kim C. Donaghue is a scholar working on Endocrinology, Diabetes and Metabolism, Ophthalmology and Genetics, having authored 180 papers that have together received 7.7k indexed citations. Recurring topics across this work include Diabetes Management and Research (76 papers), Diabetes and associated disorders (60 papers) and Retinal Diseases and Treatments (36 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.0k citations), Ophthalmology (1.2k citations) and Genetics (2.8k citations). Kim C. Donaghue has collaborated with scholars based in Australia, Singapore and United Kingdom. Frequent co-authors include Maria E. Craig, Albert K. Chan, Martin Silink, Stephen Hing, Andrew T. Hattersley, Janine Cusumano, Tien Yin Wong, Alicia J. Jenkins, Ragnar Hanås and Georgeanna J. Klingensmith. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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