Hagen Kulbe
- Immunology top 0.5%
- Immunotherapy and Immune Responses 11
- Immune cells in cancer 9
- Immune Cell Function and Interaction 7
- Reproductive System and Pregnancy 6
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions 13
- Chemokine receptors and signaling 9
- Cancer Immunotherapy and Biomarkers 7
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment 28
- Cancer Research top 2%
- Molecular Biology top 5%
- Co-authors
- Frances R. BalkwillThorsten HagemannKellie A. CharlesRichard G. ThompsonJulia L. WilsonIain A. McNeishStephen C. RobinsonToby Lawrence
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Investigation (2 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Hagen Kulbe
65 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 2.6k
- Oncology 2.1k
- Reproductive Medicine 582
- Cancer Research 834
- Molecular Biology 1.3k
Countries citing papers authored by Hagen Kulbe
This map shows the geographic impact of Hagen Kulbe'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 Hagen Kulbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hagen Kulbe more than expected).
Fields of papers citing papers by Hagen Kulbe
This network shows the impact of papers produced by Hagen Kulbe. 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 Hagen Kulbe. The network helps show where Hagen Kulbe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hagen Kulbe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 32 | |
| 12 | 2018 | 20 | |
| 13 | 2018 | 24 | |
| 14 | 2015 | 36 | |
| 15 | 2011 | 313 | |
| 16 | 2011 | 171 | |
| 17 | 2009 | 62 | |
| 18 | A vicious circle of TNF-α, CXCL12 and CXCR4 influences growth and spread of human epithelial ovarian cancer | 2006 | 2 |
| 19 | Ovarian cancer cells polarize macrophages towards a tumor-associated phenotype | 2006 | 3 |
| 20 | 2006 | 318 |
About Hagen Kulbe
Hagen Kulbe is a scholar working on Reproductive Medicine, Immunology and Oncology, having authored 67 papers that have together received 4.4k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (28 papers), Cytokine Signaling Pathways and Interactions (13 papers), Immunotherapy and Immune Responses (11 papers), Chemokine receptors and signaling (9 papers), Immune cells in cancer (9 papers), Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Reproductive System and Pregnancy (6 papers). The work is most often cited by research in Immunology (2.6k citations), Oncology (2.1k citations) and Reproductive Medicine (582 citations). Hagen Kulbe has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Frances R. Balkwill, Thorsten Hagemann, Kellie A. Charles, Richard G. Thompson, Julia L. Wilson, Iain A. McNeish, Stephen C. Robinson, Toby Lawrence, Ningfeng Fiona Li and David A. Leinster. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.