Martin D. Curran

16.5k citations
135 papers · 6.4k indexed · 2 hit papers · h-index 38
Topics
Respiratory viral infections research (22 papers)T-cell and B-cell Immunology (20 papers)Influenza Virus Research Studies (18 papers)

In The Last Decade

Martin D. Curran

133 papers receiving 6.3k citations

Hit Papers

Detection of oligomeric forms of α‐synuclein protein in h...200620262012201920062013100200300400500

Peers

Martin D. Curran
Comparison fields: 5 of 154
  • Epidemiology 1.9k
  • Neurology 1.4k
  • Infectious Diseases 1.4k
  • Molecular Biology 1.1k
  • Immunology 1.0k
Replace Helmut Eiffert with:
Helmut Eiffert Germany
Annelies S. Zinkernagel Switzerland
W. Michael Scheld United States
Steve Nelson United States
Ludwig Gutmann United States
Alexander H. Dalpke Germany
Michail S. Lionakis United States
Andrej Tarkowski Sweden
Rob Roy MacGregor United States
Simon R. Carding United Kingdom
Martin D. Curran relative to Helmut Eiffert Germany Helmut Eiffert's profile →
Citations per field
00.5×5.7×
Helmut Eiffert · 1×
Citations per year

Countries citing papers authored by Martin D. Curran

Since Specialization
Citations

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

Fields of papers citing papers by Martin D. Curran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin D. Curran. 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 Martin D. Curran. The network helps show where Martin D. Curran may publish in the future.

Co-authorship network of co-authors of Martin D. Curran

This figure shows the co-authorship network connecting the top 25 collaborators of Martin D. Curran. A scholar is included among the top collaborators of Martin D. Curran 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 Martin D. Curran. Martin D. Curran 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 5
3 5
4 0
5 25
6 44
7 6
8 3
9 59
10
Whole-genome sequencing to identify transmission of Mycobacterium abscessus between patients with cystic fibrosis: a retrospective cohort studybreakdown →
472
11 13
12 58
13 33
14 29
15 21
16 36
17 11
18 282
19 24
20 3

About Martin D. Curran

Martin D. Curran is a scholar working on Infectious Diseases, Epidemiology and Endocrinology, having authored 135 papers that have together received 6.4k indexed citations. Recurring topics across this work include Respiratory viral infections research (22 papers), T-cell and B-cell Immunology (20 papers) and Influenza Virus Research Studies (18 papers). The work is most often cited by research in Neurology (1.4k citations), Infectious Diseases (1.4k citations) and Molecular Medicine (323 citations). Martin D. Curran has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Derek Middleton, Omar M. A. El‐Agnaf, Andrew Wallace, J.A. Court, Katerina E. Paleologou, David Allsop, Ross Jakes, Michael G. Schlossmacher, B. K. Rima and Lynn D Maxwell. Their work appears in journals such as The Lancet, Nucleic Acids Research and PLoS ONE.

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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