Cathy Maass
- Molecular Biology
- Cancer Research top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Genetics top 10%
- Co-authors
- Pieter WesselingWilliam P. J. LeendersArend HeerschapR. A. P. KoeneM.J.J.T. BogmanRobert M.W. de WaalBenno KüstersRinke Stienstra
- Topics
- Renal Transplantation Outcomes and Treatments (7 papers)Angiogenesis and VEGF in Cancer (7 papers)Renal Diseases and Glomerulopathies (4 papers)
- Partner nations
- NetherlandsUnited KingdomBelgium
In The Last Decade
Cathy Maass
23 papers receiving 968 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 440
- Cancer Research 228
- Oncology 186
- Pulmonary and Respiratory Medicine 147
- Genetics 144
Countries citing papers authored by Cathy Maass
This map shows the geographic impact of Cathy Maass'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 Cathy Maass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathy Maass more than expected).
Fields of papers citing papers by Cathy Maass
This network shows the impact of papers produced by Cathy Maass. 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 Cathy Maass. The network helps show where Cathy Maass may publish in the future.
Co-authorship network of co-authors of Cathy Maass
This figure shows the co-authorship network connecting the top 25 collaborators of Cathy Maass. A scholar is included among the top collaborators of Cathy Maass 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 Cathy Maass. Cathy Maass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 63 | |
| 3 | 20 | |
| 4 | 42 | |
| 5 | 47 | |
| 6 | 162 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 33 | |
| 10 | 178 | |
| 11 | Differential effects of vascular endothelial growth factor A isoforms in a mouse brain metastasis model of human melanoma. | 75 |
| 12 | 9 | |
| 13 | 57 | |
| 14 | 21 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | Immunocytology of urinary sediments in renal transplant patients with deteriorating graft function. | 3 |
| 18 | Immunohistologic staining of renal transplant biopsies with monoclonal antibody WT14: a new parameter for the diagnosis of rejection. | 1 |
| 19 | 115 | |
| 20 | The role of complement in the induction of acute antibody-mediated vasculitis of rat skin grafts in the mouse. | 10 |
About Cathy Maass
Cathy Maass is a scholar working on Transplantation, Nephrology and Immunology and Allergy, having authored 24 papers that have together received 995 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (7 papers), Angiogenesis and VEGF in Cancer (7 papers) and Renal Diseases and Glomerulopathies (4 papers). The work is most often cited by research in Transplantation (64 citations), Cancer Research (228 citations) and Genetics (144 citations). Cathy Maass has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include Pieter Wesseling, William P. J. Leenders, Arend Heerschap, R. A. P. Koene, M.J.J.T. Bogman, Robert M.W. de Waal, Benno Küsters, Rinke Stienstra, Stéphane Mandard and Michael Müller. Their work appears in journals such as Nature, Clinical Cancer Research and Endocrinology.
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.