Graham Magor

1.1k total citations
24 papers, 764 citations indexed

About

Graham Magor is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Graham Magor has authored 24 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Genetics. Recurrent topics in Graham Magor's work include Kruppel-like factors research (14 papers), Genetic Syndromes and Imprinting (5 papers) and Hemoglobinopathies and Related Disorders (5 papers). Graham Magor is often cited by papers focused on Kruppel-like factors research (14 papers), Genetic Syndromes and Imprinting (5 papers) and Hemoglobinopathies and Related Disorders (5 papers). Graham Magor collaborates with scholars based in Australia, United States and China. Graham Magor's co-authors include Andrew C. Perkins, Kevin R. Gillinder, Charles C. Bell, Michael R. Tallack, Stephen Huang, Sumaira Z. Hasnain, Ran Wang, Yonghua Sheng, Timothy H. Florin and Hui Tong and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Blood.

In The Last Decade

Graham Magor

24 papers receiving 761 citations

Peers

Graham Magor
Comparison fields: 5 of 83
  • Molecular Biology 513
  • Physiology 193
  • Genetics 146
  • Genetics 120
  • Immunology 101
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Bruno Silva Portugal
Lisa Corbett United Kingdom
Joon Yoon South Korea
Maggi Allan United States
Bassam Abu‐Libdeh Israel
Simona Laurino Italy
Khristian E. Bauer-Rowe United States
Andrea J. Lengi United States
Margit Dlaska Austria
Winston Thomas United States
Bruno Silva Portugal View profile →
Citations per field, relative to Graham Magor
Graham Magor · 1×
Citations per year, relative to Graham Magor
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Countries citing papers authored by Graham Magor

Since Specialization
Citations

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

Fields of papers citing papers by Graham Magor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graham Magor. 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 Graham Magor. The network helps show where Graham Magor may publish in the future.

Co-authorship network of co-authors of Graham Magor

This figure shows the co-authorship network connecting the top 25 collaborators of Graham Magor. A scholar is included among the top collaborators of Graham Magor 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 Graham Magor. Graham Magor 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
# Work Indexed citations
1 1
2 1
3 2
4 38
5 1
6 23
7 12
8 42
9 36
10
High fat diets induce colonic epithelial cell stress and inflammation that is reversed by IL-22
1
11 34
12 21
13 270
14 13
15 12
16 67
17 83
18 12
19 2
20 81

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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