Suzanne Q. van Veen

15 papers receiving 928 citations

Hit Papers

High-Throughput Identification of Bacteria and Yeast by M...20102026201520202010100200300400500

Peers

Suzanne Q. van Veen
Comparison fields: 5 of 99
  • Clinical Biochemistry 504
  • Epidemiology 407
  • Molecular Biology 241
  • Immunology 169
  • Public Health, Environmental and Occupational Health 169
Replace Philip Stevens with:
Philip Stevens Germany
A B Onderdonk United States
H.‐J. Linde Germany
Peter‐Michael Rath Germany
Jürgen Rödel Germany
Nicolas Degand France
Werner W. Wilke United States
Josep Mensa Spain
G. Paul Voorn Netherlands
John P. Manzella United States
Suzanne Q. van Veen relative to Philip Stevens Germany Philip Stevens's profile →
Citations per field
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Philip Stevens · 1×
Citations per year

Countries citing papers authored by Suzanne Q. van Veen

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Q. van Veen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne Q. van Veen. 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 Suzanne Q. van Veen. The network helps show where Suzanne Q. van Veen may publish in the future.

Co-authorship network of co-authors of Suzanne Q. van Veen

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Q. van Veen. A scholar is included among the top collaborators of Suzanne Q. van Veen 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 Suzanne Q. van Veen. Suzanne Q. van Veen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 20
2
High-Throughput Identification of Bacteria and Yeast by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry in Conventional Medical Microbiology Laboratoriesbreakdown →
510
3 112
4 10
5 19
6 26
7 77
8 9
9 18
10 10
11 16
12 19
13 17
14 59
15 28

About Suzanne Q. van Veen

Suzanne Q. van Veen is a scholar working on Clinical Biochemistry, Hepatology and Internal Medicine, having authored 15 papers that have together received 950 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Clinical Biochemistry (504 citations), Endocrinology (67 citations) and Epidemiology (407 citations). Suzanne Q. van Veen has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Eric C. J. Claas, Ed J. Kuijper, Marja A. Boermeester, Thomas M. van Gulik, J. W. Olivier van Till, Arlène K. van Vliet, Marieke A. D. van Zoelen, Tom van der Poll, Pierre‐François Laterre and Michael W.T. Tanck. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Applied Physiology and Journal of Clinical 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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