Emma Goeman

1.1k citations
15 papers · 394 · h-index 9

Impact in

    • Antifungal resistance and susceptibility
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • T-cell and Retrovirus Studies

Papers in

    • COVID-19 Clinical Research Studies 2
    • Tuberculosis Research and Epidemiology 1
    • Antifungal resistance and susceptibility 1
    • T-cell and Retrovirus Studies 3

Emma Goeman

14 papers receiving 394 citations

Peers

Emma Goeman
Comparison fields: 5 of 66
  • Infectious Diseases 131
  • Immunology 76
  • Agronomy and Crop Science 35
  • Epidemiology 81
  • Critical Care and Intensive Care Medicine 10
Replace Anfumbom Kfutwah with:
Anfumbom Kfutwah Cameroon
Snežana Medić Serbia
Vini Vijayan United States
Nilesh Bhatt Mozambique
Robinson Pacheco Colombia
R Boulos United States
Anja Takla Germany
Christie Mettenbrink United States
Niteen Wairagkar United States
Alejandro Pérez United States
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Citations per field
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Anfumbom Kfutwah · 1×
Citations per year

Countries citing papers authored by Emma Goeman

Since Specialization
Citations

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

Fields of papers citing papers by Emma Goeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201583
2 202161
3 201452
4 202146
5 202045
6 201440
7 200828
8
Nosocomial infections acquired by patients treated with extracorporeal membrane oxygenation.
201716
9 201610
10 20155
11 20203
12 20202
13 20142
14 20121
15 20230

About Emma Goeman

Emma Goeman is a scholar working on Infectious Diseases, Immunology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 394 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), COVID-19 epidemiological studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Infection Control and Ventilation (1 paper), Tuberculosis Research and Epidemiology (1 paper), Mycobacterium research and diagnosis (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Infectious Diseases (131 citations), Immunology (76 citations), Agronomy and Crop Science (35 citations), Epidemiology (81 citations) and Critical Care and Intensive Care Medicine (10 citations). Emma Goeman has collaborated with scholars based in Australia, France and Netherlands. Frequent co-authors include Monica A. Slavin, Paul E. Verweij, Jacques F. Meis, Sarah Kidd, Lloyd Einsiedel, Olivier Cassar, Antoine Gessain, Tim Spelman, Archana Koirala and Peter Hsu. Their work appears in journals such as Open Forum Infectious Diseases, Vaccine, Mycoses, Retrovirology and PLoS neglected tropical 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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