Marina van Doeselaar

31 total papers · 1.1k total citations
23 papers, 676 citations indexed

About

Marina van Doeselaar is a scholar working on Surgery, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Marina van Doeselaar has authored 23 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Pathology and Forensic Medicine and 6 papers in Pharmacology. Recurrent topics in Marina van Doeselaar's work include Spine and Intervertebral Disc Pathology (11 papers), Musculoskeletal pain and rehabilitation (5 papers) and Knee injuries and reconstruction techniques (4 papers). Marina van Doeselaar is often cited by papers focused on Spine and Intervertebral Disc Pathology (11 papers), Musculoskeletal pain and rehabilitation (5 papers) and Knee injuries and reconstruction techniques (4 papers). Marina van Doeselaar collaborates with scholars based in Netherlands, Taiwan and Italy. Marina van Doeselaar's co-authors include Keita Ito, Alessio Di Fonzo, Marianna A. Tryfonidou, Ben A. Oostra, Vincenzo Bonifati, Björn P. Meij, Yah‐Huei Wu‐Chou, Erik Simons, Yi‐Hsin Weng and Rou-Shayn Chen and has published in prestigious journals such as Scientific Reports, International Journal of Cancer and Bone.

In The Last Decade

Marina van Doeselaar

22 papers receiving 665 citations

Author Peers

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

Author						Papers	Cites
Marina van Doeselaar	296	172	151	134	128	23	676
Piotr Kamieniak	122 0.4×	83 0.5×	187 1.2×	115 0.9×	87 0.7×	27	731
Luca Maderna	342 1.2×	101 0.6×	83 0.5×	91 0.7×	53 0.4×	31	677
Marek Molčányi	203 0.7×	110 0.6×	243 1.6×	67 0.5×	169 1.3×	40	756
Chun Kun Park	131 0.4×	221 1.3×	133 0.9×	81 0.6×	285 2.2×	29	696
Jakub Litak	137 0.5×	69 0.4×	201 1.3×	107 0.8×	82 0.6×	36	734
Marc Gotkine	416 1.4×	83 0.5×	183 1.2×	62 0.5×	82 0.6×	47	736
Nazem Ghasemi	83 0.3×	277 1.6×	224 1.5×	88 0.7×	43 0.3×	27	751
Chiara Cambieri	240 0.8×	36 0.2×	69 0.5×	225 1.7×	76 0.6×	39	640
K Inoue	195 0.7×	72 0.4×	169 1.1×	210 1.6×	60 0.5×	30	637
Adele Barnard	45 0.2×	133 0.8×	53 0.4×	79 0.6×	150 1.2×	18	667

Countries citing papers authored by Marina van Doeselaar

Since Specialization

Citations

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

Fields of papers citing papers by Marina van Doeselaar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina van Doeselaar

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