Karin Thursky

9.3k total citations
252 papers, 6.0k citations indexed

About

Karin Thursky is a scholar working on Epidemiology, Infectious Diseases and Oncology. According to data from OpenAlex, Karin Thursky has authored 252 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Epidemiology, 73 papers in Infectious Diseases and 68 papers in Oncology. Recurrent topics in Karin Thursky's work include Antibiotic Use and Resistance (67 papers), Neutropenia and Cancer Infections (56 papers) and Antifungal resistance and susceptibility (44 papers). Karin Thursky is often cited by papers focused on Antibiotic Use and Resistance (67 papers), Neutropenia and Cancer Infections (56 papers) and Antifungal resistance and susceptibility (44 papers). Karin Thursky collaborates with scholars based in Australia, United Kingdom and United States. Karin Thursky's co-authors include Monica A. Slavin, Leon J. Worth, Kirsty Buising, Benjamin W. Teh, Jason A. Trubiano, John F. Seymour, Gabrielle M. Haeusler, Michelle Ananda‐Rajah, Allen Cheng and Caroline Marshall and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Karin Thursky

237 papers receiving 5.9k citations

Peers

Karin Thursky
Comparison fields: 5 of 143
  • Epidemiology 2.4k
  • Infectious Diseases 1.9k
  • Oncology 1.4k
  • Applied Microbiology and Biotechnology 1.3k
  • Pharmacology 900
Replace Inge C. Gyssens with:
Inge C. Gyssens Netherlands
Shelley S. Magill United States
André C. Kalil United States
Dafna Yahav Israel
Carolina García‐Vidal Spain
Margaret A. Dudeck United States
Hong Bin Kim South Korea
Wan Beom Park South Korea
Kyong Ran Peck South Korea
Ebbing Lautenbach United States
Inge C. Gyssens Netherlands View profile →
Citations per field, relative to Karin Thursky
Karin Thursky · 1×
Citations per year, relative to Karin Thursky
Karin Thursky · 1×

Countries citing papers authored by Karin Thursky

Since Specialization
Citations

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

Fields of papers citing papers by Karin Thursky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Thursky

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Thursky. A scholar is included among the top collaborators of Karin Thursky 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 Karin Thursky. Karin Thursky 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
# Work Indexed citations
1 0
2 0
3 1
4 1
5 1
6 1
7 0
8 1
9 14
10 3
11 0
12 8
13 0
14 4
15 18
16 15
17 8
18 21
19 11
20 7

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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