Daniëlle Kerkhofs

17 total papers · 468 total citations
9 papers, 266 citations indexed

About

Daniëlle Kerkhofs is a scholar working on Pulmonary and Respiratory Medicine, Neurology and Neurology. According to data from OpenAlex, Daniëlle Kerkhofs has authored 9 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Neurology and 4 papers in Neurology. Recurrent topics in Daniëlle Kerkhofs's work include Cerebrovascular and Carotid Artery Diseases (5 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Daniëlle Kerkhofs is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (5 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Daniëlle Kerkhofs collaborates with scholars based in Netherlands, Germany and United Kingdom. Daniëlle Kerkhofs's co-authors include Robert J. van Oostenbrugge, Sébastien Foulquier, Julie Staals, Walter H. Backes, Toshiki Mizuno, Jacobus F.A. Jansen, Takashi Koizumi, Harry W.M. Steinbusch, Sau May Wong and Erik I. Hoff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

In The Last Decade

Daniëlle Kerkhofs

9 papers receiving 265 citations

Author Peers

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

Author Last Decade Papers Cites
Daniëlle Kerkhofs 163 72 46 45 45 9 266
Andreas Roesler 73 0.4× 62 0.9× 56 1.2× 63 1.4× 36 0.8× 12 264
Jin‐Hui Yoon 116 0.7× 62 0.9× 21 0.5× 29 0.6× 25 0.6× 12 299
Maryam Hosseini Farahabadi 105 0.6× 68 0.9× 55 1.2× 12 0.3× 20 0.4× 9 256
Gyula Pánczél 40 0.2× 66 0.9× 51 1.1× 40 0.9× 52 1.2× 16 232
Sleiman El Jamal 155 1.0× 87 1.2× 32 0.7× 22 0.5× 22 0.5× 9 296
Christopher Goshgarian 94 0.6× 70 1.0× 61 1.3× 80 1.8× 14 0.3× 11 242
Virginia Cipollini 89 0.5× 53 0.7× 17 0.4× 17 0.4× 28 0.6× 10 279
Ruo Li Chen 76 0.5× 46 0.6× 88 1.9× 37 0.8× 16 0.4× 7 314
Felipe Freitas 99 0.6× 45 0.6× 21 0.5× 22 0.5× 37 0.8× 11 301
Anna Zicca 146 0.9× 72 1.0× 11 0.2× 17 0.4× 18 0.4× 8 289

Countries citing papers authored by Daniëlle Kerkhofs

Since Specialization
Citations

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

Fields of papers citing papers by Daniëlle Kerkhofs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniëlle Kerkhofs. 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 Daniëlle Kerkhofs. The network helps show where Daniëlle Kerkhofs may publish in the future.

Co-authorship network of co-authors of Daniëlle Kerkhofs

This figure shows the co-authorship network connecting the top 25 collaborators of Daniëlle Kerkhofs. A scholar is included among the top collaborators of Daniëlle Kerkhofs 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 Daniëlle Kerkhofs. Daniëlle Kerkhofs 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