Terence M. Nolan

1.0k citations
19 papers · 718 indexed · h-index 14
Topics
Influenza Virus Research Studies (8 papers)Respiratory viral infections research (5 papers)Pneumonia and Respiratory Infections (5 papers)
Partner nations
AustraliaUnited States

In The Last Decade

Terence M. Nolan

19 papers receiving 697 citations

Peers

Terence M. Nolan
Comparison fields: 5 of 71
  • Epidemiology 393
  • Infectious Diseases 279
  • Public Health, Environmental and Occupational Health 193
  • Surgery 88
  • Pulmonary and Respiratory Medicine 73
Replace Daniel K. Yeoh with:
Daniel K. Yeoh Australia
Anushua Sinha United States
Nahid Bhadelia United States
José Ángel Córdova-Villalobos Mexico
Kimberly M. Shea United States
Ann Lindstrand Sweden
H. Nina Kim United States
Mine Durusu Tanrıöver Türkiye
É. Launay France
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Terence M. Nolan relative to Daniel K. Yeoh Australia Daniel K. Yeoh's profile →
Citations per field
00.5×7.3×
Daniel K. Yeoh · 1×
Citations per year

Countries citing papers authored by Terence M. Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Terence M. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Terence M. Nolan. 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 Terence M. Nolan. The network helps show where Terence M. Nolan may publish in the future.

Co-authorship network of co-authors of Terence M. Nolan

This figure shows the co-authorship network connecting the top 25 collaborators of Terence M. Nolan. A scholar is included among the top collaborators of Terence M. Nolan 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 Terence M. Nolan. Terence M. Nolan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 6
2 4
3 38
4 43
5 16
6 71
7 29
8 87
9 16
10 79
11 25
12 96
13 9
14 6
15 71
16 16
17 6
18 71
19 29

About Terence M. Nolan

Terence M. Nolan is a scholar working on Modeling and Simulation, Infectious Diseases and Family Practice, having authored 19 papers that have together received 718 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Respiratory viral infections research (5 papers) and Pneumonia and Respiratory Infections (5 papers). The work is most often cited by research in Infectious Diseases (279 citations), Modeling and Simulation (68 citations) and Epidemiology (393 citations). Terence M. Nolan has collaborated with scholars based in Australia and United States. Frequent co-authors include Stephen B. Lambert, Jonathan R. Carapetis, Ross Andrews, Nigel Curtis, Sue Skull, John B. Carlin, Anthony G. Catto‐Smith, Carolyn Coffey, Gowri Selvaraj and John M. Hutson. Their work appears in journals such as PEDIATRICS, The Journal of Infectious Diseases and The Journal of Pediatrics.

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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