Hans van der Valk

19 total papers · 570 total citations
3 papers, 235 citations indexed

About

Hans van der Valk is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hans van der Valk has authored 3 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hans van der Valk's work include Esophageal Cancer Research and Treatment (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Hans van der Valk is often cited by papers focused on Esophageal Cancer Research and Treatment (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Hans van der Valk collaborates with scholars based in Netherlands. Hans van der Valk's co-authors include Lieke Hol, Anneke J. van Vuuren, Jacqueline C. Reijerink, Janneke Wilschut, Monique E. van Leerdam, Marjolein van Ballegooijen, Ernst J. Kuipers, J. Dik F. Habbema, Hugo W. Tilanus and Wim C.J. Hop and has published in prestigious journals such as Gastroenterology, British Journal of Cancer and American Journal of Clinical Pathology.

In The Last Decade

Hans van der Valk

3 papers receiving 228 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hans van der Valk	203	170	96	83	30	3	235
Franco Ferrero	260 1.3×	187 1.1×	88 0.9×	94 1.1×	18 0.6×	5	286
T. C. Arminski	223 1.1×	130 0.8×	124 1.3×	88 1.1×	60 2.0×	6	295
Karoline Reinhart	273 1.3×	210 1.2×	96 1.0×	89 1.1×	27 0.9×	6	326
Caspar Wiener	173 0.9×	141 0.8×	96 1.0×	81 1.0×	20 0.7×	5	330
E MacRae	256 1.3×	159 0.9×	82 0.9×	96 1.2×	20 0.7×	8	295
Christina R. Barkley	129 0.6×	84 0.5×	72 0.8×	76 0.9×	9 0.3×	4	247
Harry Hyland Kerr	123 0.6×	56 0.3×	122 1.3×	67 0.8×	47 1.6×	2	302
HP Knaebel	246 1.2×	59 0.3×	98 1.0×	132 1.6×	29 1.0×	6	327
Sam Li‐Sheng Chen	125 0.6×	147 0.9×	150 1.6×	38 0.5×	62 2.1×	6	294
Loretta Sullivan	153 0.8×	102 0.6×	53 0.6×	45 0.5×	25 0.8×	4	247

Countries citing papers authored by Hans van der Valk

Since Specialization

Citations

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

Fields of papers citing papers by Hans van der Valk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans van der Valk. 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 Hans van der Valk. The network helps show where Hans van der Valk may publish in the future.

Co-authorship network of co-authors of Hans van der Valk

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

All Works

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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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