Marina Johnson

2.0k citations
35 papers · 783 indexed · h-index 16

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Bacterial Infections and Vaccines

Papers in

    • Bacterial Infections and Vaccines 7
    • SARS-CoV-2 and COVID-19 Research 14
    • COVID-19 Clinical Research Studies 5
    • SARS-CoV-2 detection and testing 3

Marina Johnson

32 papers receiving 758 citations

Peers

Marina Johnson
Comparison fields: 5 of 83
  • Infectious Diseases 341
  • Microbiology 96
  • Immunology 280
  • Health 70
  • Modeling and Simulation 36
Replace Yahia Mekki with:
Yahia Mekki France
Anne Krivine France
Stephen Cose Uganda
Silja Bühler Switzerland
Olivier Godeaux Belgium
Wayne Dimech Australia
H. W. Doerr Germany
Chris Beyrer United States
Luca Meroni Italy
Géraldine Blanchard‐Rohner Switzerland
Marina Johnson relative to Yahia Mekki France Yahia Mekki's profile →
Citations per field
00.5×
Yahia Mekki · 1×
Citations per year

Countries citing papers authored by Marina Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Marina Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20241
4 20237
5 202314
6 202215
7 202231
8 202220
9 20226
10 202229
11 202187
12 20212
13 202147
14 202119
15 202057
16 20155
17 201016
18 200912
19 200518
20 2002118

About Marina Johnson

Marina Johnson is a scholar working on Microbiology, Infectious Diseases, Immunology, Health and Animal Science and Zoology, having authored 35 papers that have together received 783 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), Pneumonia and Respiratory Infections (8 papers), Bacterial Infections and Vaccines (7 papers), Respiratory viral infections research (6 papers), COVID-19 Clinical Research Studies (5 papers), Complement system in diseases (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Infectious Diseases (341 citations), Microbiology (96 citations), Immunology (280 citations), Health (70 citations) and Modeling and Simulation (36 citations). Marina Johnson has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include David Goldblatt, Nigel Klein, Malcolm Turner, Dominic Jack, Olaf Neth, Adam Hunt, Helen Baxendale, Jeremy Brown, Christopher Bengt and Heather J. Zar. Their work appears in journals such as Vaccine, Infection and Immunity, mSphere, Clinical & Experimental Immunology and The 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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