Wim H. Jansen

11 total papers · 956 total citations
10 papers, 735 citations indexed

About

Wim H. Jansen is a scholar working on Endocrinology, Food Science and Genetics. According to data from OpenAlex, Wim H. Jansen has authored 10 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, 5 papers in Food Science and 3 papers in Genetics. Recurrent topics in Wim H. Jansen's work include Escherichia coli research studies (6 papers), Bacterial Genetics and Biotechnology (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). Wim H. Jansen is often cited by papers focused on Escherichia coli research studies (6 papers), Bacterial Genetics and Biotechnology (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). Wim H. Jansen collaborates with scholars based in Netherlands, Spain and Guinea-Bissau. Wim H. Jansen's co-authors include B. van Klingeren, R. P. Mouton, G J H M Ruijs, Hubert P. Endtz, Jorge Blanco, Jan Wensink, Bernard Witholt, Miguel Blanco, Víctor Moreno and María Dolores Cid Vázquez and has published in prestigious journals such as Infection and Immunity, Biochimica et Biophysica Acta (BBA) - Biomembranes and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Wim H. Jansen

10 papers receiving 657 citations

Hit Papers

Quinolone resistance in c... 1991 2026 2002 2014 1991 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Wim H. Jansen 383 221 214 182 130 10 735
Narasimha V. Hegde 391 1.0× 195 0.9× 210 1.0× 166 0.9× 66 0.5× 19 859
Kai Frydendahl 377 1.0× 304 1.4× 246 1.1× 227 1.2× 44 0.3× 8 778
Nina Luhmann 238 0.6× 212 1.0× 167 0.8× 292 1.6× 77 0.6× 8 791
Dianna M. Jordan 310 0.8× 480 2.2× 269 1.3× 183 1.0× 97 0.7× 17 794
Sheila Halls 259 0.7× 496 2.2× 221 1.0× 129 0.7× 52 0.4× 10 850
Helen Wimalarathna 318 0.8× 122 0.6× 223 1.0× 112 0.6× 85 0.7× 8 678
Eglė Kudirkienė 350 0.9× 201 0.9× 152 0.7× 156 0.9× 129 1.0× 47 759
Traute Janßen 375 1.0× 468 2.1× 128 0.6× 350 1.9× 93 0.7× 14 802
Aaron Petkau 245 0.6× 231 1.0× 198 0.9× 179 1.0× 63 0.5× 10 819
Lisa W. Halbert 413 1.1× 111 0.5× 197 0.9× 89 0.5× 77 0.6× 17 743

Countries citing papers authored by Wim H. Jansen

Since Specialization
Citations

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

Fields of papers citing papers by Wim H. Jansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wim H. Jansen. 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 Wim H. Jansen. The network helps show where Wim H. Jansen may publish in the future.

Co-authorship network of co-authors of Wim H. Jansen

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026