Ingrid Beukinga

823 citations
25 papers · 379 · h-index 11

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Platelet Disorders and Treatments

Papers in

Ingrid Beukinga

22 papers receiving 374 citations

Peers

Ingrid Beukinga
Comparison fields: 5 of 70
  • Infectious Diseases 177
  • Hematology 34
  • Internal Medicine 10
  • Rheumatology 44
  • Endocrinology 15
Replace J. Derelle with:
J. Derelle France
Gloria Westney United States
Talha Riaz United States
Fernando Peixoto Ferraz de Campos Brazil
Delphine Lebrun France
Antonio Borrelli Italy
Hala G. Elnady Egypt
Αthanassios Chatzimichael Greece
Michel Collet France
Evelyne Le Roux France
Ingrid Beukinga relative to J. Derelle France J. Derelle's profile →
Citations per field
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J. Derelle · 1×
Citations per year

Countries citing papers authored by Ingrid Beukinga

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Beukinga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202078
2 201456
3 202052
4 202149
5 201422
6 200421
7 201620
8 201614
9 202112
10 202110
11
[Serotonin syndrome secondary to the use of sertraline and metoclopramide].
200010
12 20216
13 20235
14 20055
15 20194
16 20224
17 20174
18 20113
19 20231
20 20211

About Ingrid Beukinga

Ingrid Beukinga is a scholar working on Infectious Diseases, Epidemiology, Virology, Pulmonary and Respiratory Medicine and Microbiology, having authored 25 papers that have together received 379 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), SARS-CoV-2 detection and testing (4 papers), Microbial infections and disease research (2 papers), Rabies epidemiology and control (2 papers), Biosensors and Analytical Detection (2 papers), COVID-19 Clinical Research Studies (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (177 citations), Hematology (34 citations), Internal Medicine (10 citations), Rheumatology (44 citations) and Endocrinology (15 citations). Ingrid Beukinga has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Laurent Blairon, Marie Tré‐Hardy, Alain Wilmet, Jonathan Douxfils, Jean‐Michel Dogné, Julien Favresse, Katrien Devreese, Olivier Pradier, Filip De Keyser and William Wijns. Their work appears in journals such as Journal of Medical Virology, Diagnostic Microbiology and Infectious Disease, Journal of Emergency Medicine, Medical Mycology and Thrombosis and Haemostasis.

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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