Michael Logan

60 papers receiving 1.7k citations

Peers

Michael Logan
Comparison fields: 5 of 131
  • Hepatology 218
  • Anesthesiology and Pain Medicine 149
  • Immunology 458
  • Cell Biology 250
  • Virology 62
Replace P J Dawson with:
P J Dawson United States
Chaofeng Han China
Helen M. McGuire Australia
Yuushi Okumura Japan
Sheraz Yaqub Norway
Flavio Lejbkowicz Israel
Ayotunde O. Dokun United States
T. O'Reilly Switzerland
Rashmi Seth United Kingdom
David Chao Taiwan
Michael Logan relative to P J Dawson United States P J Dawson's profile →
Citations per field
00.5×10.5×
P J Dawson · 1×
Citations per year

Countries citing papers authored by Michael Logan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Logan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Logan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Logan Line = papers co-authored together Michael Logan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010187
2 2003128
3 1986109
4 2006108
5 200884
6 200673
7 200073
8 200968
9 201458
10 200152
11 200249
12 199442
13 201539
14 198236
15 201835
16 200734
17 201634
18 201732
19 198131
20 199930

About Michael Logan

Michael Logan is a scholar working on Anesthesiology and Pain Medicine, Hepatology, Small Animals, Cell Biology and Developmental Neuroscience, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular transport and secretion (12 papers), Hepatitis C virus research (11 papers), Anesthesia and Sedative Agents (7 papers), Fungal and yeast genetics research (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Anesthesia and Pain Management (6 papers) and Immunotoxicology and immune responses (5 papers). The work is most often cited by research in Hepatology (218 citations), Anesthesiology and Pain Medicine (149 citations), Immunology (458 citations), Cell Biology (250 citations) and Virology (62 citations). Michael Logan has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Redwan Moqbel, Solomon O. Odemuyiwa, Paige Lacy, Craig A. Mandato, J.A.W. Wildsmith, Gary Eitzen, J. H. McClure, Michael Houghton, Elizabeth J. Taparowsky and Juan Liao. Their work appears in journals such as British Journal of Anaesthesia, Journal of Virology, Journal of Allergy and Clinical Immunology, Veterinary Clinical Pathology and Journal of Biological Chemistry.

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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