Martina Vockerodt
- Oncology top 2%
- Pathology and Forensic Medicine top 2%
- Immunology top 5%
- Molecular Biology
- Epidemiology top 5%
- Co-authors
- Dieter KubeCasper PaludanChristian MünzDorothee SchmidMarkus LandthalerThomas TuschlPaul G. MurrayWenbin Wei
- Topics
- Lymphoma Diagnosis and Treatment (26 papers)Viral-associated cancers and disorders (21 papers)Immune Cell Function and Interaction (15 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Martina Vockerodt
37 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Oncology 1.0k
- Pathology and Forensic Medicine 751
- Immunology 702
- Molecular Biology 643
- Epidemiology 634
Countries citing papers authored by Martina Vockerodt
This map shows the geographic impact of Martina Vockerodt'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 Martina Vockerodt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Vockerodt more than expected).
Fields of papers citing papers by Martina Vockerodt
This network shows the impact of papers produced by Martina Vockerodt. 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 Martina Vockerodt. The network helps show where Martina Vockerodt may publish in the future.
Co-authorship network of co-authors of Martina Vockerodt
This figure shows the co-authorship network connecting the top 25 collaborators of Martina Vockerodt. A scholar is included among the top collaborators of Martina Vockerodt 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 Martina Vockerodt. Martina Vockerodt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 26 | |
| 3 | 29 | |
| 4 | 10 | |
| 5 | 13 | |
| 6 | 115 | |
| 7 | 28 | |
| 8 | 12 | |
| 9 | 76 | |
| 10 | Endogenous MHC Class II Processing of a Viral Nuclear Antigen After Autophagybreakdown → | 674 |
| 11 | 40 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 82 | |
| 15 | 23 | |
| 16 | 76 | |
| 17 | 160 | |
| 18 | 16 | |
| 19 | 16 | |
| 20 | Stable nontumorigenic phenotype of somatic cell hybrids between malignant Burkitt's lymphoma cells and autologous EBV-immortalized B cells despite induction of chromosomal breakage and loss. | 3 |
About Martina Vockerodt
Martina Vockerodt is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology, having authored 38 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (26 papers), Viral-associated cancers and disorders (21 papers) and Immune Cell Function and Interaction (15 papers). The work is most often cited by research in Pathology and Forensic Medicine (751 citations), Oncology (1.0k citations) and Immunology (702 citations). Martina Vockerodt has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Dieter Kube, Casper Paludan, Christian Münz, Dorothee Schmid, Markus Landthaler, Thomas Tuschl, Paul G. Murray, Wenbin Wei, Hans Tesch and Volker Diehl. Their work appears in journals such as Science, Blood and PLoS ONE.
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.