Volker Waldmann
Impact in
- Oncology top 10%
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 12
- Cutaneous Melanoma Detection and Management 5
- Cancer-related Molecular Pathways 3
- Vascular Tumors and Angiosarcomas 2
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- Immunotherapy and Immune Responses 5
- Co-authors
- Martin Deichmann (17 shared papers)Andreas Jäckel (12 shared papers)Michael Bock (5 shared papers)Helmut Näher (5 shared papers)Axel Benner (3 shared papers)Bernhard Suchy (2 shared papers)H Näher (8 shared papers)Sabine Klugbauer (1 shared paper)
In The Last Decade
Volker Waldmann
25 papers receiving 560 citations
Peers
Comparison fields: 5 of 72
- Oncology 264
- Immunology 152
- Immunology and Allergy 24
- Molecular Biology 280
- Endocrinology, Diabetes and Metabolism 55
Countries citing papers authored by Volker Waldmann
This map shows the geographic impact of Volker Waldmann'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 Volker Waldmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volker Waldmann more than expected).
Fields of papers citing papers by Volker Waldmann
This network shows the impact of papers produced by Volker Waldmann. 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 Volker Waldmann. The network helps show where Volker Waldmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Volker Waldmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 191 | |
| 2 | 1997 | 97 | |
| 3 | 1998 | 70 | |
| 4 | Interleukin-6 and its surrogate C-reactive protein are useful serum markers for monitoring metastasized malignant melanoma. | 2000 | 35 |
| 5 | 1996 | 20 | |
| 6 | 2002 | 19 | |
| 7 | 1999 | 18 | |
| 8 | 2001 | 17 | |
| 9 | 2001 | 15 | |
| 10 | S-100β-Protein im Serum als Tumormarker beim malignen Melanom Aktueller Kenntnisstand und klinische Erfahrungen | 1999 | 14 |
| 11 | 2000 | 14 | |
| 12 | 1993 | 12 | |
| 13 | Regression of metastatic angiosarcoma of the skin after systemic treatment with liposome-encapsulated doxorubicin and interferon-alpha. | 1999 | 12 |
| 14 | 2001 | 11 | |
| 15 | 2001 | 8 | |
| 16 | 1999 | 6 | |
| 17 | 1998 | 6 | |
| 18 | 1999 | 4 | |
| 19 | 2000 | 3 | |
| 20 | 2002 | 3 |
About Volker Waldmann
Volker Waldmann is a scholar working on Oncology, Immunology, Cell Biology, Molecular Biology and Dermatology, having authored 26 papers that have together received 589 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (8 papers), Cutaneous Melanoma Detection and Management (5 papers), Immunotherapy and Immune Responses (5 papers), melanin and skin pigmentation (3 papers), Cancer-related Molecular Pathways (3 papers), S100 Proteins and Annexins (3 papers), Vascular Tumors and Angiosarcomas (2 papers) and Cardiac tumors and thrombi (2 papers). The work is most often cited by research in Oncology (264 citations), Immunology (152 citations), Immunology and Allergy (24 citations), Molecular Biology (280 citations) and Endocrinology, Diabetes and Metabolism (55 citations). Volker Waldmann has collaborated with scholars based in Germany and Norway. Frequent co-authors include Martin Deichmann, Andreas Jäckel, Michael Bock, Helmut Näher, Axel Benner, Bernhard Suchy, H Näher, Sabine Klugbauer, Hartmut Manfred Rabes and Hans‐Georg Rammensee. Their work appears in journals such as Dermatology, Melanoma Research, British Journal of Cancer, British Journal of Dermatology and Recent results in cancer research.
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.