PE Spronk

463 total citations
21 papers, 362 citations indexed

About

PE Spronk is a scholar working on Rheumatology, Immunology and Epidemiology. According to data from OpenAlex, PE Spronk has authored 21 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rheumatology, 7 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in PE Spronk's work include Systemic Lupus Erythematosus Research (7 papers), T-cell and B-cell Immunology (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). PE Spronk is often cited by papers focused on Systemic Lupus Erythematosus Research (7 papers), T-cell and B-cell Immunology (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). PE Spronk collaborates with scholars based in Netherlands, United Kingdom and United States. PE Spronk's co-authors include P. C. Limburg, Cees G. M. Kallenberg, C. G. M. Kallenberg, Gerda Horst, Bernardina T.F. van der Gun, Minke G. Huitema, P. C. Limburg, Hendrika Bootsma, Jan Willem Cohen Tervaert and Arnoud C. Toornvliet and has published in prestigious journals such as Annals of the Rheumatic Diseases, Critical Care and Lara D. Veeken.

In The Last Decade

PE Spronk

20 papers receiving 345 citations

Peers

PE Spronk
Comparison fields: 5 of 63
  • Immunology 200
  • Rheumatology 193
  • Radiology, Nuclear Medicine and Imaging 55
  • Critical Care and Intensive Care Medicine 52
  • Pulmonary and Respiratory Medicine 45
Replace Shunsuke Takaki with:
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Luisa Weiß Ireland
Chang Keun Lee South Korea
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Shunsuke Takaki Japan View profile →
Citations per field, relative to PE Spronk
PE Spronk · 1×
Citations per year, relative to PE Spronk
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Countries citing papers authored by PE Spronk

Since Specialization
Citations

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

Fields of papers citing papers by PE Spronk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of PE Spronk

This figure shows the co-authorship network connecting the top 25 collaborators of PE Spronk. A scholar is included among the top collaborators of PE Spronk 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 PE Spronk. PE Spronk 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 3
2 3
3 27
4 4
5 8
6 3
7
Validation of the dutch version of the Confusion Assessment Method (CAM-ICU) for delirium screening in the Intensive Care Unit
21
8 2
9 4
10 1
11 1
12 8
13 26
14
Usefulness of the SLICC/ACR damage index in patients with systemic lupus erythematosus.
7
15 52
16
LEVELS OF SOLUBLE ADHESION MOLECULES DURING DISEASE RELAPSES OF SYSTEMIC LUPUS-ERYTHEMATOSUS - A LONG-TERM PROSPECTIVE-STUDY
2
17 16
18
B-CELL ACTIVATION CORRELATES WITH IG-LEVELS BUT NOT WITH ANTI-DSDNA IN NON-ACTIVE SLE, AND INCREASES PARALLEL TO ANTI-DSDNA PRIOR TO DISEASE-ACTIVITY
1
19 23
20 96

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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