Patrick E. MacDonald

15.0k citations
132 papers · 9.1k indexed · 4 hit papers · h-index 49
Topics
Pancreatic function and diabetes (121 papers)Diabetes and associated disorders (33 papers)Metabolism, Diabetes, and Cancer (31 papers)

In The Last Decade

Patrick E. MacDonald

126 papers receiving 9.0k citations

Hit Papers

A pancreatic islet-specific microRNA regulates insulin se...2004202620112018200420242018202450010001.5k

Peers

Patrick E. MacDonald
Comparison fields: 5 of 152
  • Molecular Biology 4.9k
  • Surgery 4.4k
  • Endocrinology, Diabetes and Metabolism 2.5k
  • Genetics 1.7k
  • Cancer Research 1.6k
Replace Yoshio Fujitani with:
Yoshio Fujitani Japan
Timothy F. Osborne United States
Jesper Gromada United States
Hideki Katagiri Japan
Pierre Maechler Switzerland
David Y. Hui United States
Seung‐Hoi Koo South Korea
Maureen Gannon United States
Catherine Postic France
Naoto Kubota Japan
Patrick E. MacDonald relative to Yoshio Fujitani Japan Yoshio Fujitani's profile →
Citations per field
00.5×4.0×
Yoshio Fujitani · 1×
Citations per year

Countries citing papers authored by Patrick E. MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Patrick E. MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick E. MacDonald. 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 Patrick E. MacDonald. The network helps show where Patrick E. MacDonald may publish in the future.

Co-authorship network of co-authors of Patrick E. MacDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick E. MacDonald. A scholar is included among the top collaborators of Patrick E. MacDonald 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 Patrick E. MacDonald. Patrick E. MacDonald 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 0
2 1
3 0
4 1
5
Web-based multi-omics integration using the Analyst software suitebreakdown →
78
6 13
7 9
8 39
9 8
10 89
11 11
12 76
13 178
14 45
15 16
16 47
17 32
18 105
19 88
20 36

About Patrick E. MacDonald

Patrick E. MacDonald is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology, having authored 132 papers that have together received 9.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (121 papers), Diabetes and associated disorders (33 papers) and Metabolism, Diabetes, and Cancer (31 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.5k citations), Cancer Research (1.6k citations) and Surgery (4.4k citations). Patrick E. MacDonald has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Patrik Rorsman, Michael B. Wheeler, Lena Eliasson, Xiaosong Ma, Nikolaus Rajewsky, Sébastien Pfeffer, Satoru Kuwajima, Matthew N. Poy, Thomas Tuschl and Markus Stoffel. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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