Flavia Huygens

3.2k citations
85 papers · 2.4k indexed · h-index 27

Flavia Huygens

84 papers receiving 2.3k citations

Peers

Flavia Huygens
Comparison fields: 5 of 130
  • Clinical Biochemistry 398
  • Infectious Diseases 1.1k
  • Endocrinology 245
  • Microbiology 165
  • Molecular Medicine 109
Replace Jolene R. Bowers with:
Jolene R. Bowers United States
Clayton Deming United States
Annette Moter Germany
Sanjay K. Shukla United States
Benu Dhawan India
Alice Young United States
Matthew Thoendel United States
Neal L. Schiller United States
Estelle Jumas‐Bilak France
Thomas Thurnheer Switzerland
Flavia Huygens relative to Jolene R. Bowers United States Jolene R. Bowers's profile →
Citations per field
00.5×1.5×2.2×
Jolene R. Bowers · 1×
Citations per year

Countries citing papers authored by Flavia Huygens

Since Specialization
Citations

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

Fields of papers citing papers by Flavia Huygens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202310
3 20214
4 202115
5 202027
6 201874
7 20182
8 201794
9
The importance of anaerobic bacteria in non-healing wounds
20162
10
Genotyping streptococcus pneumoniae
20151
11
Staphylococcus epidermidis as a cause of bacteremia
20154
12 201510
13 201387
14 201364
15 201385
16 20102
17 20098
18 200557
19 200510
20 19933

About Flavia Huygens

Flavia Huygens is a scholar working on Clinical Biochemistry, Infectious Diseases, Endocrinology, Microbiology and Molecular Medicine, having authored 85 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (28 papers), Bacterial Identification and Susceptibility Testing (22 papers), Bacterial biofilms and quorum sensing (11 papers), Mycobacterium research and diagnosis (10 papers), Salmonella and Campylobacter epidemiology (10 papers), Streptococcal Infections and Treatments (9 papers), Viral gastroenteritis research and epidemiology (8 papers) and Wound Healing and Treatments (7 papers). The work is most often cited by research in Clinical Biochemistry (398 citations), Infectious Diseases (1.1k citations), Endocrinology (245 citations), Microbiology (165 citations) and Molecular Medicine (109 citations). Flavia Huygens has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include Philip M. Giffard, Alex J. Stephens, Megan Hargreaves, Warish Ahmed, Ashantha Goonetilleke, Ted Gardner, Erin P. Price, Irani U. Rathnayake, Graeme R. Nimmo and Rachel Thomson. Their work appears in journals such as Journal of Clinical Microbiology, Applied and Environmental Microbiology, Journal of Medical Microbiology, BMC Microbiology and Future 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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