Maria C. Kuppner
- Immunology top 5%
- Molecular Biology
- Oncology top 10%
- Cell Biology top 10%
- Immunology and Allergy top 5%
- Co-authors
- Nicolas de TriboletMarie‐France HamouRolf D. IsselsRobert GastparStefan BodmerAnabel ScharnerValeria MilaniYutaka Sawamura
- Topics
- Immunotherapy and Immune Responses (13 papers)Immune Cell Function and Interaction (8 papers)Cell Adhesion Molecules Research (5 papers)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Maria C. Kuppner
28 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Immunology 818
- Molecular Biology 688
- Oncology 397
- Cell Biology 195
- Immunology and Allergy 184
Countries citing papers authored by Maria C. Kuppner
This map shows the geographic impact of Maria C. Kuppner'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 Maria C. Kuppner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria C. Kuppner more than expected).
Fields of papers citing papers by Maria C. Kuppner
This network shows the impact of papers produced by Maria C. Kuppner. 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 Maria C. Kuppner. The network helps show where Maria C. Kuppner may publish in the future.
Co-authorship network of co-authors of Maria C. Kuppner
This figure shows the co-authorship network connecting the top 25 collaborators of Maria C. Kuppner. A scholar is included among the top collaborators of Maria C. Kuppner 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 Maria C. Kuppner. Maria C. Kuppner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 197 | |
| 5 | 168 | |
| 6 | 25 | |
| 7 | 50 | |
| 8 | 13 | |
| 9 | TGF-beta and IL-1 beta act in synergy to enhance IL-6 and IL-8 mRNA levels and IL-6 production by human retinal pigment epithelial cells. | 50 |
| 10 | 35 | |
| 11 | 106 | |
| 12 | 30 | |
| 13 | 61 | |
| 14 | 128 | |
| 15 | 6 | |
| 16 | Antitumor activity and surface phenotypes of human glioma-infiltrating lymphocytes after in vitro expansion in the presence of interleukin 2. | 46 |
| 17 | 1 | |
| 18 | 114 | |
| 19 | 92 | |
| 20 | 8 |
About Maria C. Kuppner
Maria C. Kuppner is a scholar working on Immunology and Allergy, Immunology and Ophthalmology, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (8 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Immunology (818 citations), Immunology and Allergy (184 citations) and Oncology (397 citations). Maria C. Kuppner has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Nicolas de Tribolet, Marie‐France Hamou, Rolf D. Issels, Robert Gastpar, Stefan Bodmer, Anabel Scharner, Valeria Milani, Yutaka Sawamura, Elfriede Noeßner and Susan McKillop‐Smith. Their work appears in journals such as Blood, The Journal of Immunology and Annals of the New York Academy of Sciences.
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.