Suzanne M. Johnson

94 papers receiving 2.2k citations

Peers

Suzanne M. Johnson
Comparison fields: 5 of 143
  • Microbiology 33
  • Catalysis 306
  • Infectious Diseases 426
  • Epidemiology 622
  • Filtration and Separation 38
Replace Ichirô Nakagawa with:
Ichirô Nakagawa Japan
Geoff Smith United Kingdom
David C. Young United States
Peter Fischer Germany
Robert A. Cox United Kingdom
Jan Konvalinka Czechia
Tord Holme Sweden
Örn Almarsson United States
Lawrence S. Frankel United States
Miguel Prudêncio Portugal
Suzanne M. Johnson relative to Ichirô Nakagawa Japan Ichirô Nakagawa's profile →
Citations per field
00.5×10×16.5×
Ichirô Nakagawa · 1×
Citations per year

Countries citing papers authored by Suzanne M. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne M. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003345
2 2003146
3 2016112
4 1970101
5 200785
6
Microsatellite alterations plasma DNA of primary breast cancer patients.
200079
7 199852
8 201644
9 201444
10 201242
11 200342
12 196942
13 196842
14 199240
15 200138
16 201738
17 198837
18 197237
19 201935
20 200433

About Suzanne M. Johnson

Suzanne M. Johnson is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Organic Chemistry and Physical and Theoretical Chemistry, having authored 101 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fungal Infections and Studies (27 papers), Antifungal resistance and susceptibility (9 papers), Nail Diseases and Treatments (6 papers), Crystal structures of chemical compounds (6 papers), Estrogen and related hormone effects (6 papers), Parasitic Infections and Diagnostics (5 papers), Crystallography and molecular interactions (5 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Microbiology (33 citations), Catalysis (306 citations), Infectious Diseases (426 citations), Epidemiology (622 citations) and Filtration and Separation (38 citations). Suzanne M. Johnson has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Iain C. Paul, Demosthenes Pappagianis, M. Nieuwenhuyzen, John D. Holbrey, Robin D. Rogers, Kenneth R. Seddon, W.M. Reichert, Jacqui Shaw, D. Pappagianis and D. Pappagianis. Their work appears in journals such as Journal of the American Chemical Society, Medical Mycology, Annals of the New York Academy of Sciences, PLoS ONE and Infection and Immunity.

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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