Greg J. Fox

87 papers receiving 1.7k citations

Peers

Greg J. Fox
Comparison fields: 5 of 120
  • Infectious Diseases 1.2k
  • Applied Microbiology and Biotechnology 68
  • Epidemiology 871
  • Modeling and Simulation 71
  • Family Practice 28
Replace Sharath Burugina Nagaraja with:
Sharath Burugina Nagaraja India
Kefyalew Addis Alene Australia
Sreenivas Achuthan Nair India
Malaisamy Muniyandi India
Pruthu Thekkur India
Allison L. Agwu United States
Jessica P. Ridgway United States
Edina Sinanovic South Africa
Amrita Daftary Canada
Vidya Mave United States
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Citations per field
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Citations per year

Countries citing papers authored by Greg J. Fox

Since Specialization
Citations

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

Fields of papers citing papers by Greg J. Fox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019160
2 2018135
3 2019124
4 201682
5 200870
6 201756
7 202156
8 201955
9 201752
10 201647
11 202138
12 202034
13 202033
14 201833
15 201531
16 201831
17 201828
18 201626
19 201825
20 201725

About Greg J. Fox

Greg J. Fox is a scholar working on Infectious Diseases, Epidemiology, Surgery, General Health Professions and Applied Microbiology and Biotechnology, having authored 95 papers that have together received 1.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (59 papers), Pneumonia and Respiratory Infections (24 papers), Pneumocystis jirovecii pneumonia detection and treatment (22 papers), Infectious Diseases and Tuberculosis (12 papers), Diagnosis and treatment of tuberculosis (10 papers), Mycobacterium research and diagnosis (10 papers), Antibiotic Use and Resistance (7 papers) and Mental Health Treatment and Access (6 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Applied Microbiology and Biotechnology (68 citations), Epidemiology (871 citations), Modeling and Simulation (71 citations) and Family Practice (28 citations). Greg J. Fox has collaborated with scholars based in Australia, Vietnam and United Kingdom. Frequent co-authors include Thu Anh Nguyen, Jennifer Ho, Ben J. Marais, Guy B. Marks, Hoa Binh Nguyen, Faiz Ahmad Khan, Nguyen Viet Nhung, James C. Johnston, Warwick J. Britton and Kamila Romanowski. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, Clinical Infectious Diseases, The Lancet Infectious Diseases, The Lancet Regional Health - Western Pacific and International Journal of Infectious Diseases.

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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