Guus van Dalum

2.3k citations
26 papers · 1.8k · h-index 19

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 2%
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Cancer Cells and Metastasis 20
    • Pancreatic and Hepatic Oncology Research 4
    • Cancer Genomics and Diagnostics 13

Guus van Dalum

26 papers receiving 1.8k citations

Peers

Guus van Dalum
Comparison fields: 5 of 93
  • Cancer Research 794
  • Oncology 1.1k
  • Biomedical Engineering 574
  • Biophysics 55
  • Pulmonary and Respiratory Medicine 257
Replace Ian Said Huntingford with:
Ian Said Huntingford United Kingdom
Nancy Lane United States
Thomas J. Metzner United States
Cornelia Coith Germany
Frank A. W. Coumans Netherlands
Mihaela Rata United Kingdom
Daniel Winokur United States
Julie Trautwein United States
Kyle Concannon United States
Marissa Wells Madden United States
Guus van Dalum relative to Ian Said Huntingford United Kingdom Ian Said Huntingford's profile →
Citations per field
00.5×1.6×
Ian Said Huntingford · 1×
Citations per year

Countries citing papers authored by Guus van Dalum

Since Specialization
Citations

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

Fields of papers citing papers by Guus van Dalum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guus van Dalum. 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 Guus van Dalum. The network helps show where Guus van Dalum may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015291
2 2015236
3 2019224
4 2013165
5 201597
6 201696
7 201388
8 202070
9 201865
10 201464
11 201863
12 201558
13 201455
14 201952
15 201738
16 201837
17 202331
18 201820
19 202020
20 202016

About Guus van Dalum

Guus van Dalum is a scholar working on Oncology, Cancer Research, Biomedical Engineering, Biophysics and Pathology and Forensic Medicine, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (20 papers), Cancer Genomics and Diagnostics (13 papers), Microfluidic and Bio-sensing Technologies (8 papers), 3D Printing in Biomedical Research (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Genetic factors in colorectal cancer (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (794 citations), Oncology (1.1k citations), Biomedical Engineering (574 citations), Biophysics (55 citations) and Pulmonary and Respiratory Medicine (257 citations). Guus van Dalum has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Leon W.M.M. Terstappen, Kiki Andree, Frank A. W. Coumans, Sanne de Wit, Markus Beck, Arjan G.J. Tibbe, Leonie L. Zeune, Thijo Jeroen Nicolaas Hiltermann, Harry J.M. Groen and Joost F. Swennenhuis. Their work appears in journals such as PLoS ONE, Molecular Oncology, Scientific Reports, Cytometry Part A and International Journal of Oncology.

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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