Michael R. Hughes

5.0k citations
108 papers · 3.8k indexed · 1 hit paper · h-index 30

Michael R. Hughes

105 papers receiving 3.8k citations

Hit Papers

Modelling kidney disease with CRISPR-mutant kidney organo...20152026201820222015100200300400500

Peers

Michael R. Hughes
Comparison fields: 5 of 146
  • Molecular Biology 2.1k
  • Immunology 1.0k
  • Physiology 460
  • Pulmonary and Respiratory Medicine 435
  • Surgery 357
Replace Ricardo Paniagua with:
Ricardo Paniagua Spain
Meir Lahav Israel
Derek L. Mattey United Kingdom
Göran Andersson Sweden
B Noble United Kingdom
Ge Tan Switzerland
Eric D. Green United States
Robert Häsler Germany
Lin Wang China
Makoto Kobayashi Japan
Michael R. Hughes relative to Ricardo Paniagua Spain Ricardo Paniagua's profile →
Citations per field
00.5×3.6×
Ricardo Paniagua · 1×
Citations per year

Countries citing papers authored by Michael R. Hughes

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Hughes

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Hughes. A scholar is included among the top collaborators of Michael R. Hughes 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 R. Hughes. Michael R. Hughes 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 2
2 2
3 1
4 1
5 16
6 7
7 13
8 21
9 1
10 2
11 29
12 25
13 34
14 23
15 48
16 24
17 113
18 111
19 4
20
PREDICTING AIR POLLUTANT LEVELS FROM TRAFFIC NEAR ROADS
2

About Michael R. Hughes

Michael R. Hughes is a scholar working on Immunology, Immunology and Allergy and Physical Therapy, Sports Therapy and Rehabilitation, having authored 108 papers that have together received 3.8k indexed citations. Recurring topics across this work include Mast cells and histamine (15 papers), IL-33, ST2, and ILC Pathways (12 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Immunology (1.0k citations), Molecular Biology (2.1k citations) and Immunology and Allergy (146 citations). Michael R. Hughes has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Kelly M. McNagny, Gerald Krystal, John L. Vankat, Matthew H. Collier, Janet Kalesnikoff, Michael Huber, Jacqueline E. Damen, Frann Antignano, Alissa Cait and Colby Zaph. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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