Marion Kuper‐Hommel
- Oncology
- Pathology and Forensic Medicine top 10%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Neurology
- Co-authors
- Ross LawrensonIan CampbellMark ElwoodJ. Han van KriekenChunhuan LaoGerard VreugdenhilJ.W.W. CoeberghNina Scott
- Topics
- Breast Cancer Treatment Studies (14 papers)Lymphoma Diagnosis and Treatment (9 papers)Global Cancer Incidence and Screening (7 papers)
- Partner nations
- New ZealandNetherlandsUnited States
In The Last Decade
Marion Kuper‐Hommel
33 papers receiving 402 citations
Peers
Comparison fields: 5 of 53
- Oncology 195
- Pathology and Forensic Medicine 181
- Cancer Research 176
- Pulmonary and Respiratory Medicine 63
- Neurology 58
Countries citing papers authored by Marion Kuper‐Hommel
This map shows the geographic impact of Marion Kuper‐Hommel'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 Marion Kuper‐Hommel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Kuper‐Hommel more than expected).
Fields of papers citing papers by Marion Kuper‐Hommel
This network shows the impact of papers produced by Marion Kuper‐Hommel. 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 Marion Kuper‐Hommel. The network helps show where Marion Kuper‐Hommel may publish in the future.
Co-authorship network of co-authors of Marion Kuper‐Hommel
This figure shows the co-authorship network connecting the top 25 collaborators of Marion Kuper‐Hommel. A scholar is included among the top collaborators of Marion Kuper‐Hommel 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 Marion Kuper‐Hommel. Marion Kuper‐Hommel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 18 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | Use and results of systemic treatments for de novo and recurrent metastatic breast cancer: a population-based cohort study. | 2 |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 21 | |
| 13 | 31 | |
| 14 | 23 | |
| 15 | 13 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 64 | |
| 19 | 7 | |
| 20 | 48 |
About Marion Kuper‐Hommel
Marion Kuper‐Hommel is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 34 papers that have together received 406 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), Lymphoma Diagnosis and Treatment (9 papers) and Global Cancer Incidence and Screening (7 papers). The work is most often cited by research in Cancer Research (176 citations), Pathology and Forensic Medicine (181 citations) and Oncology (195 citations). Marion Kuper‐Hommel has collaborated with scholars based in New Zealand, Netherlands and United States. Frequent co-authors include Ross Lawrenson, Ian Campbell, Mark Elwood, J. Han van Krieken, Chunhuan Lao, Gerard Vreugdenhil, J.W.W. Coebergh, Nina Scott, Hanneke C. Kluin‐Nelemans and Simone Snijder. Their work appears in journals such as Journal of Clinical Oncology, The Lancet Oncology and Annals of Oncology.
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.