Ga‐Lai M. Chong

512 citations
11 papers · 346 indexed · h-index 8
Topics
Antifungal resistance and susceptibility (8 papers)Fungal Infections and Studies (7 papers)Pneumocystis jirovecii pneumonia detection and treatment (2 papers)

In The Last Decade

Ga‐Lai M. Chong

10 papers receiving 342 citations

Peers

Ga‐Lai M. Chong
Comparison fields: 5 of 46
  • Infectious Diseases 307
  • Epidemiology 281
  • Cell Biology 87
  • Small Animals 52
  • Pulmonary and Respiratory Medicine 33
Replace Maria Aigner with:
Maria Aigner Austria
Marie Kirwan United Kingdom
Giel R. Gaajetaan Netherlands
Gabriela Santiso Argentina
E. Lambrecht Germany
Matthijs Backx United Kingdom
J.-P. Bouchara France
Alejandra Zuluaga Colombia
Sue Sleiman Australia
Jessica S. Price United Kingdom
Ga‐Lai M. Chong relative to Maria Aigner Austria Maria Aigner's profile →
Citations per field
00.5×1.5×2.4×
Maria Aigner · 1×
Citations per year

Countries citing papers authored by Ga‐Lai M. Chong

Since Specialization
Citations

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

Fields of papers citing papers by Ga‐Lai M. Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ga‐Lai M. Chong. 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 Ga‐Lai M. Chong. The network helps show where Ga‐Lai M. Chong may publish in the future.

Co-authorship network of co-authors of Ga‐Lai M. Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Ga‐Lai M. Chong. A scholar is included among the top collaborators of Ga‐Lai M. Chong 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 Ga‐Lai M. Chong. Ga‐Lai M. Chong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 1
3 13
4 10
5 16
6 4
7 15
8 102
9 17
10 108
11 60

About Ga‐Lai M. Chong

Ga‐Lai M. Chong is a scholar working on Infectious Diseases, Transplantation and Epidemiology, having authored 11 papers that have together received 346 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Infectious Diseases (307 citations), Epidemiology (281 citations) and Small Animals (52 citations). Ga‐Lai M. Chong has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Bart Rijnders, Alieke G. Vonk, Giel R. Gaajetaan, Gijs Dingemans, Jan J. Cornelissen, Johan Maertens, Marie‐Pierre Hayette, Guus Simons, Wendy W. J. van de Sande and Katrien Lagrou. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy and Clinical Microbiology and Infection.

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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