Ineke Molenaar
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 1%
- Pathology and Forensic Medicine top 0.5%
- Surgery top 2%
- Molecular Biology top 10%
- Co-authors
- CDM FletcherAnke van den BergH.G.J.M. KuypersKlaas SijtsmaA. RustioniPieter MoorerTh.P.B.M. SuurmeijerM. Foets
- Topics
- Veterinary Orthopedics and Neurology (4 papers)Psychometric Methodologies and Testing (3 papers)Advanced Statistical Modeling Techniques (2 papers)
- Partner nations
- NetherlandsUnited StatesNorway
In The Last Decade
Ineke Molenaar
19 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Oncology 2.0k
- Pulmonary and Respiratory Medicine 1.6k
- Pathology and Forensic Medicine 1.6k
- Surgery 1.5k
- Molecular Biology 1.2k
Countries citing papers authored by Ineke Molenaar
This map shows the geographic impact of Ineke Molenaar'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 Ineke Molenaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ineke Molenaar more than expected).
Fields of papers citing papers by Ineke Molenaar
This network shows the impact of papers produced by Ineke Molenaar. 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 Ineke Molenaar. The network helps show where Ineke Molenaar may publish in the future.
Co-authorship network of co-authors of Ineke Molenaar
This figure shows the co-authorship network connecting the top 25 collaborators of Ineke Molenaar. A scholar is included among the top collaborators of Ineke Molenaar 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 Ineke Molenaar. Ineke Molenaar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | World Health Organization Classification of Tumoursbreakdown → | 5781 |
| 2 | 61 | |
| 3 | 49 | |
| 4 | MPS5 for Windows. A program for Mokken scale analysis for polytomous items | 64 |
| 5 | MSP: A program for Mokken Scale analysis for Polytomous Items: Version 3.0: User's manual | 19 |
| 6 | 75 | |
| 7 | 9 | |
| 8 | 15 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 38 | |
| 12 | 5 | |
| 13 | 22 | |
| 14 | 34 | |
| 15 | 162 | |
| 16 | 7 | |
| 17 | 59 | |
| 18 | 27 | |
| 19 | 45 |
About Ineke Molenaar
Ineke Molenaar is a scholar working on Small Animals, Developmental Neuroscience and Management Science and Operations Research, having authored 19 papers that have together received 6.5k indexed citations. Recurring topics across this work include Veterinary Orthopedics and Neurology (4 papers), Psychometric Methodologies and Testing (3 papers) and Advanced Statistical Modeling Techniques (2 papers). The work is most often cited by research in Oral Surgery (637 citations), Pathology and Forensic Medicine (1.6k citations) and Oncology (2.0k citations). Ineke Molenaar has collaborated with scholars based in Netherlands, United States and Norway. Frequent co-authors include CDM Fletcher, Anke van den Berg, H.G.J.M. Kuypers, Klaas Sijtsma, A. Rustioni, Pieter Moorer, Th.P.B.M. Suurmeijer, M. Foets, Hubert J. A. Schouten and Anne Boomsma. Their work appears in journals such as Cancer, Brain Research and Experimental Brain Research.
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.