Greg Calligaro

3.9k citations
61 papers · 1.3k · h-index 20

Impact in

    • Tuberculosis Research and Epidemiology
    • Mycobacterium research and diagnosis
    • Pneumonia and Respiratory Infections
    • Pneumocystis jirovecii pneumonia detection and treatment

Papers in

Greg Calligaro

58 papers receiving 1.3k citations

Peers

Greg Calligaro
Comparison fields: 5 of 105
  • Infectious Diseases 748
  • Epidemiology 515
  • Surgery 286
  • Pulmonary and Respiratory Medicine 187
  • Emergency Medical Services 34
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Citations per field
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Citations per year

Countries citing papers authored by Greg Calligaro

Since Specialization
Citations

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

Fields of papers citing papers by Greg Calligaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Greg Calligaro, 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 Greg Calligaro Line = papers co-authored together Greg Calligaro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017118
2 2016105
3 2014104
4 201879
5 201378
6 201765
7 201563
8 201759
9 201455
10 201154
11 201153
12 201052
13 202050
14 201543
15 201440
16 201737
17 201336
18 201424
19 201720
20 202319

About Greg Calligaro

Greg Calligaro is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Physiology, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (19 papers), Infectious Diseases and Tuberculosis (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Pneumonia and Respiratory Infections (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), Respiratory Support and Mechanisms (5 papers), Mycobacterium research and diagnosis (5 papers) and Cystic Fibrosis Research Advances (5 papers). The work is most often cited by research in Infectious Diseases (748 citations), Epidemiology (515 citations), Surgery (286 citations), Pulmonary and Respiratory Medicine (187 citations) and Emergency Medical Services (34 citations). Greg Calligaro has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Keertan Dheda, Grant Theron, Jonny Peter, Richard Meldau, Richard N. van Zyl-Smit, Lucas Smith, Brian Allwood, Aliasgar Esmail, Rodney Dawson and Rouxjeane Venter. Their work appears in journals such as European Respiratory Journal, Nature Medicine, Clinical Infectious Diseases, Respiratory Physiology & Neurobiology and Journal of Clinical Microbiology.

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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