Jacob Bigio

470 citations
17 papers · 142 · h-index 7

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 6
    • HIV/AIDS Research and Interventions 2
    • SARS-CoV-2 detection and testing 2
    • Pneumocystis jirovecii pneumonia detection and treatment 2
    • HIV, Drug Use, Sexual Risk 2

Jacob Bigio

14 papers receiving 139 citations

Peers

Jacob Bigio
Comparison fields: 5 of 51
  • Infectious Diseases 87
  • Critical Care and Intensive Care Medicine 16
  • Epidemiology 58
  • Applied Microbiology and Biotechnology 3
  • Radiology, Nuclear Medicine and Imaging 18
Replace Matthew Blakiston with:
Matthew Blakiston New Zealand
Luca Cristiani Italy
Kara‐Lee Pool United States
A. Andrés Martín Spain
Mahmoud Sadeghi Haddad Zavareh Iran
Kaciane Oliveira Brazil
Mohammad Reza Salehi Iran
Eliel Nham South Korea
Eva Tabernero Spain
John Midturi United States
Jacob Bigio relative to Matthew Blakiston New Zealand Matthew Blakiston's profile →
Citations per field
00.5×3.3×
Matthew Blakiston · 1×
Citations per year

Countries citing papers authored by Jacob Bigio

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Bigio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202046
2 202120
3 202215
4 20229
5 20229
6 20228
7 20236
8 20236
9 20216
10 20215
11 20234
12 20214
13 20213
14 20211
15 20240
16 20230
17 20250

About Jacob Bigio

Jacob Bigio is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Finance and Critical Care and Intensive Care Medicine, having authored 17 papers that have together received 142 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Healthcare Systems and Reforms (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), HIV/AIDS Research and Interventions (2 papers), HIV, Drug Use, Sexual Risk (2 papers), SARS-CoV-2 detection and testing (2 papers), Ultrasound in Clinical Applications (2 papers) and Global Health and Surgery (2 papers). The work is most often cited by research in Infectious Diseases (87 citations), Critical Care and Intensive Care Medicine (16 citations), Epidemiology (58 citations), Applied Microbiology and Biotechnology (3 citations) and Radiology, Nuclear Medicine and Imaging (18 citations). Jacob Bigio has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include Madhukar Pai, Niaz Banaei, Catherine A. Hogan, Geneviève Gore, Emily MacLean, Mikashmi Kohli, Joel Shyam Klinton, Pierrick Adam, Tripti Pande and Emma Hannay. Their work appears in journals such as BMJ Global Health, International Journal of Environmental Research and Public Health, PLoS ONE, International Journal of Drug Policy and Journal of Tropical Medicine.

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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