Wouter W. van Solinge

8.9k citations
192 papers · 6.3k indexed · 1 hit paper · h-index 39

Wouter W. van Solinge

184 papers receiving 6.2k citations

Hit Papers

eHealth as the Next-Generation Perinatal Care: An Overvie...229201820262020202350100150200

Peers

Wouter W. van Solinge
Comparison fields: 5 of 169
  • Hematology 919
  • Cancer Research 984
  • Genetics 567
  • Physiology 1.1k
  • Geriatrics and Gerontology 160
Replace Jan‐Willem J. Lammers with:
Jan‐Willem J. Lammers Netherlands
Dezheng Huo United States
Karim Raza United Kingdom
Egbert F. Smit Netherlands
Betsy Kohler United States
Lee S. Schwartzberg United States
Lei Chen China
Kathryn J. Ruddy United States
Donna Niedzwiecki United States
Smita Bhatia United States
Wouter W. van Solinge relative to Jan‐Willem J. Lammers Netherlands Jan‐Willem J. Lammers's profile →
Citations per field
00.5×1.5×2.3×
Jan‐Willem J. Lammers · 1×
Citations per year

Countries citing papers authored by Wouter W. van Solinge

Since Specialization
Citations

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

Fields of papers citing papers by Wouter W. van Solinge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter W. van Solinge. 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 Wouter W. van Solinge. The network helps show where Wouter W. van Solinge may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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3 20241
4 20244
5 20238
6 20233
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8 202212
9 20224
10 20228
11 20227
12 202112
13 20215
14 201917
15 201918
16 20188
17 201521
18 201430
19 2013214
20 201384

About Wouter W. van Solinge

Wouter W. van Solinge is a scholar working on Health Informatics, Hematology, Family Practice, Physiology and Genetics, having authored 192 papers that have together received 6.3k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (46 papers), Hemoglobinopathies and Related Disorders (21 papers), Inflammatory Biomarkers in Disease Prognosis (18 papers), Blood properties and coagulation (16 papers), Sepsis Diagnosis and Treatment (14 papers), Blood groups and transfusion (13 papers), Neonatal Health and Biochemistry (12 papers) and Clinical Laboratory Practices and Quality Control (10 papers). The work is most often cited by research in Hematology (919 citations), Cancer Research (984 citations), Genetics (567 citations), Physiology (1.1k citations) and Geriatrics and Gerontology (160 citations). Wouter W. van Solinge has collaborated with scholars based in Netherlands, United States and Denmark. Frequent co-authors include Raymond M. Schiffelers, Richard van Wijk, Pieter Vader, Sander A. A. Kooijmans, Jens F. Rehfeld, Toine C. G. Egberts, Maarten J. ten Berg, Roy van der Meel, Marcel H.A.M. Fens and Karen M. K. de Vooght. Their work appears in journals such as Blood, Clinical Chemistry and Laboratory Medicine (CCLM), PLoS ONE, American Journal of Hematology and Haematologica.

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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