Wouter T. van Haaften

26 total papers · 565 total citations
16 papers, 360 citations indexed

About

Wouter T. van Haaften is a scholar working on Genetics, Surgery and Epidemiology. According to data from OpenAlex, Wouter T. van Haaften has authored 16 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Wouter T. van Haaften's work include Inflammatory Bowel Disease (7 papers), Autoimmune and Inflammatory Disorders (5 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Wouter T. van Haaften is often cited by papers focused on Inflammatory Bowel Disease (7 papers), Autoimmune and Inflammatory Disorders (5 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Wouter T. van Haaften collaborates with scholars based in Netherlands, Denmark and Switzerland. Wouter T. van Haaften's co-authors include Peter Olinga, Gerard Dijkstra, M.A. Karsdal, Joachim Høg Mortensen, Anne‐Christine Bay‐Jensen, Dorenda Oosterhuis, Jens Kjeldsen, Aleksander Krag, Michael Dam Jensen and Gerhard Rogler and has published in prestigious journals such as Gastroenterology, Hepatology and Alimentary Pharmacology & Therapeutics.

In The Last Decade

Wouter T. van Haaften

15 papers receiving 353 citations

Author Peers

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

Author						Papers	Cites
Wouter T. van Haaften	144	139	95	87	57	16	360
Amy Willey	120 0.8×	121 0.9×	111 1.2×	74 0.9×	61 1.1×	14	378
S. P. Kane	95 0.7×	55 0.4×	64 0.7×	114 1.3×	92 1.6×	12	343
S. Eisele	34 0.2×	81 0.6×	60 0.6×	110 1.3×	81 1.4×	10	327
Toshimitsu Majima	82 0.6×	80 0.6×	33 0.3×	145 1.7×	58 1.0×	13	371
Mária Zsófia Varga	79 0.5×	63 0.5×	53 0.6×	81 0.9×	43 0.8×	10	346
Hideki Nakanishi	121 0.8×	57 0.4×	21 0.2×	129 1.5×	36 0.6×	18	368
Timoklia Orfanidou	56 0.4×	38 0.3×	43 0.5×	107 1.2×	39 0.7×	17	361
B Steiner	77 0.5×	105 0.8×	121 1.3×	64 0.7×	29 0.5×	17	375
Bartosz Pilecki	71 0.5×	45 0.3×	45 0.5×	131 1.5×	29 0.5×	20	336
Matthias Prager	102 0.7×	90 0.6×	62 0.7×	95 1.1×	42 0.7×	16	328

Countries citing papers authored by Wouter T. van Haaften

Since Specialization

Citations

This map shows the geographic impact of Wouter T. van Haaften'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 T. van Haaften with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter T. van Haaften more than expected).

Fields of papers citing papers by Wouter T. van Haaften

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wouter T. van Haaften

This figure shows the co-authorship network connecting the top 25 collaborators of Wouter T. van Haaften. A scholar is included among the top collaborators of Wouter T. van Haaften 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 Wouter T. van Haaften. Wouter T. van Haaften 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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