Katherine S. Barker

5.6k citations
58 papers · 4.2k indexed · 1 hit paper · h-index 37
Topics
Antifungal resistance and susceptibility (45 papers)Fungal Infections and Studies (29 papers)Pneumocystis jirovecii pneumonia detection and treatment (15 papers)

In The Last Decade

Katherine S. Barker

55 papers receiving 4.2k citations

Hit Papers

Azole Antifungal Resistance in Candida albicans and Emerg...20172026202020232017200400600

Peers

Katherine S. Barker
Comparison fields: 5 of 114
  • Infectious Diseases 2.9k
  • Epidemiology 2.2k
  • Molecular Biology 1.0k
  • Plant Science 534
  • Pharmacology 472
Replace Alix T. Coste with:
Alix T. Coste Switzerland
Klaus Schröppel Germany
Vishnu Chaturvedi United States
Christophe d’Enfert France
Hsiu‐Jung Lo Taiwan
Liliana Scorzoni Brazil
Masakazu Niimi Japan
David Loebenberg United States
Joachim Morschhäuser Germany
Donna M. MacCallum United Kingdom
Katherine S. Barker relative to Alix T. Coste Switzerland Alix T. Coste's profile →
Citations per field
00.5×1.5×
Alix T. Coste · 1×
Citations per year

Countries citing papers authored by Katherine S. Barker

Since Specialization
Citations

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

Fields of papers citing papers by Katherine S. Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine S. Barker. 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 Katherine S. Barker. The network helps show where Katherine S. Barker may publish in the future.

Co-authorship network of co-authors of Katherine S. Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine S. Barker. A scholar is included among the top collaborators of Katherine S. Barker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katherine S. Barker. Katherine S. Barker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 48
3 77
4 135
5 137
6 52
7 17
8 18
9 32
10 260
11 69
12 26
13 43
14 38
15 44
16 169
17 19
18 95
19 27
20 53

About Katherine S. Barker

Katherine S. Barker is a scholar working on Infectious Diseases, Epidemiology and Microbiology, having authored 58 papers that have together received 4.2k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (45 papers), Fungal Infections and Studies (29 papers) and Pneumocystis jirovecii pneumonia detection and treatment (15 papers). The work is most often cited by research in Infectious Diseases (2.9k citations), Epidemiology (2.2k citations) and Microbiology (379 citations). Katherine S. Barker has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include P. David Rogers, Elizabeth L. Berkow, Jeffrey M. Rybak, Teresa T. Liu, Ramin Homayouni, Joachim Morschhäuser, Andrew T. Nishimoto, Sarah Whaley, Glen E. Palmer and Robin E. B. Lee. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Applied and Environmental Microbiology.

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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