Michael T. Geraghty

8.7k citations
121 papers · 3.6k indexed · h-index 36
Topics
Metabolism and Genetic Disorders (38 papers)Mitochondrial Function and Pathology (14 papers)Genomics and Rare Diseases (12 papers)

In The Last Decade

Michael T. Geraghty

114 papers receiving 3.5k citations

Peers

Michael T. Geraghty
Comparison fields: 5 of 148
  • Molecular Biology 1.9k
  • Clinical Biochemistry 913
  • Genetics 896
  • Physiology 422
  • Pediatrics, Perinatology and Child Health 402
Replace Clara van Karnebeek with:
Clara van Karnebeek Canada
John J. Mitchell United States
George A. Díaz United States
Paul M. Fernhoff United States
Allan M. Lund Denmark
Han‐Wook Yoo South Korea
Pietro Strisciuglio Italy
Michèl A.A.P. Willemsen Netherlands
Ulrika von Döbeln Sweden
Olaf A. Bodamer United States
Michael T. Geraghty relative to Clara van Karnebeek Canada Clara van Karnebeek's profile →
Citations per field
00.5×1.6×
Clara van Karnebeek · 1×
Citations per year

Countries citing papers authored by Michael T. Geraghty

Since Specialization
Citations

This map shows the geographic impact of Michael T. Geraghty'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 Michael T. Geraghty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Geraghty more than expected).

Fields of papers citing papers by Michael T. Geraghty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Geraghty. 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 Michael T. Geraghty. The network helps show where Michael T. Geraghty may publish in the future.

Co-authorship network of co-authors of Michael T. Geraghty

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Geraghty. A scholar is included among the top collaborators of Michael T. Geraghty 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 Michael T. Geraghty. Michael T. Geraghty 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 4
4 4
5 12
6 16
7 44
8 33
9 36
10 81
11 26
12 31
13 21
14
Developing a National Newborn Screening Strategy for Canada
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15 12
16 87
17 13
18 68
19 55
20 3

About Michael T. Geraghty

Michael T. Geraghty is a scholar working on Clinical Biochemistry, Genetics and Biochemistry, having authored 121 papers that have together received 3.6k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (38 papers), Mitochondrial Function and Pathology (14 papers) and Genomics and Rare Diseases (12 papers). The work is most often cited by research in Clinical Biochemistry (913 citations), Genetics (896 citations) and Molecular Biology (1.9k citations). Michael T. Geraghty has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Barbara K. Goodman, Peter C. Rowe, Stephen J. Gould, Julie Rutberg, Irene H. Maumenee, Kym M. Boycott, Ethylin Wang Jabs, Patrick Tong, John Kinsella and Mohamed Amin. Their work appears in journals such as Journal of Biological Chemistry, Blood and Brain.

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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