C Blum
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- IL-33, ST2, and ILC Pathways 1
-
- Wnt/β-catenin signaling in development and cancer 1
- Co-authors
- Stefan H. E. Kaufmann (5 shared papers)C. Ladel (4 shared papers)Manfred Köpf (1 shared paper)Anita Dreher (1 shared paper)Kurt Reifenberg (1 shared paper)Shigeki Yamamoto (1 shared paper)Gudrun Szalay (2 shared papers)Laurent Brossay (1 shared paper)
In The Last Decade
C Blum
11 papers receiving 645 citations
Peers
Comparison fields: 5 of 80
- Immunology 429
- Infectious Diseases 206
- Epidemiology 203
- Parasitology 22
- Endocrinology 13
Countries citing papers authored by C Blum
This map shows the geographic impact of C Blum'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 C Blum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Blum more than expected).
Fields of papers citing papers by C Blum
This network shows the impact of papers produced by C Blum. 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 C Blum. The network helps show where C Blum may publish in the future.
Co-authors
The 25 scholars most cited alongside C Blum, 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 | 1997 | 299 | |
| 2 | 1993 | 104 | |
| 3 | 1996 | 94 | |
| 4 | Cutting edge: anti-CD1 monoclonal antibody treatment reverses the production patterns of TGF-beta 2 and Th1 cytokines and ameliorates listeriosis in mice. | 1999 | 72 |
| 5 | 1996 | 48 | |
| 6 | 2003 | 24 | |
| 7 | 2025 | 10 | |
| 8 | 1988 | 6 | |
| 9 | 2025 | 2 | |
| 10 | [Cytochemical aspects of human polynuclear neutrophils under the in vitro and in vivo action of TRH]. | 1976 | 2 |
| 11 | [Soluble interleukin 2 receptor as activity parameter in serum of systemic and discoid lupus erythematosus]. | 1993 | 1 |
| 12 | 2025 | 0 |
About C Blum
C Blum is a scholar working on Immunology, Molecular Biology, Oncology, Rheumatology and Infectious Diseases, having authored 12 papers that have together received 662 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Cancer-related Molecular Pathways (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Selenium in Biological Systems (1 paper). The work is most often cited by research in Immunology (429 citations), Infectious Diseases (206 citations), Epidemiology (203 citations), Parasitology (22 citations) and Endocrinology (13 citations). C Blum has collaborated with scholars based in Germany, Australia and France. Frequent co-authors include Stefan H. E. Kaufmann, C. Ladel, Manfred Köpf, Anita Dreher, Kurt Reifenberg, Shigeki Yamamoto, Gudrun Szalay, Laurent Brossay, M. Kronenberg and Hugues Vergnes. Their work appears in journals such as Infection and Immunity, Pharmacology Research & Perspectives, Journal of Exposure Science & Environmental Epidemiology, The Journal of Immunology and Mutation research. Fundamental and molecular mechanisms of mutagenesis.
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.