B Dieckmann
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 2
- Molecular Biology Techniques and Applications 1
- Oncology 3
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- G M Ringold (7 shared papers)Frank M. Torti (1 shared paper)Bruce Beutler (1 shared paper)Anthony Cerami (1 shared paper)Alger B. Chapman (1 shared paper)David Knight (1 shared paper)Frank McCormick (3 shared papers)Meg Trahey (3 shared papers)
- Journals
- Molecular and Cellular Biology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Experimental Parasitology (1 paper)Journal of Biological Chemistry (1 paper)Science (1 paper)
- Partner nations
- United States
In The Last Decade
B Dieckmann
9 papers receiving 993 citations
B Dieckmann's Hit Papers
Peers
Comparison fields: 5 of 90
- Immunology 249
- Physiology 270
- Molecular Biology 530
- Epidemiology 239
- Genetics 208
Countries citing papers authored by B Dieckmann
This map shows the geographic impact of B Dieckmann'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 B Dieckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B Dieckmann more than expected).
Fields of papers citing papers by B Dieckmann
This network shows the impact of papers produced by B Dieckmann. 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 B Dieckmann. The network helps show where B Dieckmann may publish in the future.
Co-authors
The 16 scholars most cited alongside B Dieckmann, 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 | A Macrophage Factor Inhibits Adipocyte Gene Expression: An in Vitro Model of Cachexia Hit paper breakdown → | 1985 | 479 |
| 2 | 1984 | 188 | |
| 3 | 1984 | 117 | |
| 4 | 1984 | 82 | |
| 5 | Co-expression and amplification of dihydrofolate reductase cDNA and the Escherichia coli XGPRT gene in Chinese hamster ovary cells. | 1981 | 66 |
| 6 | 1980 | 59 | |
| 7 | 1979 | 39 | |
| 8 | Functional interactions between colony-stimulating factors and the insulin family hormones for human myeloid leukemic cells. | 1990 | 30 |
| 9 | 1984 | 23 |
About B Dieckmann
B Dieckmann is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Epidemiology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (2 papers), T-cell and B-cell Immunology (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immune Cell Function and Interaction (2 papers), Virus-based gene therapy research (2 papers), Adipose Tissue and Metabolism (2 papers), Molecular Biology Techniques and Applications (1 paper) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Immunology (249 citations), Physiology (270 citations), Molecular Biology (530 citations), Epidemiology (239 citations) and Genetics (208 citations). B Dieckmann has collaborated with scholars based in United States. Frequent co-authors include G M Ringold, Frank M. Torti, Bruce Beutler, Anthony Cerami, Alger B. Chapman, David Knight, Frank McCormick, Meg Trahey, J L Vannice and Michael A. Innis. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Experimental Parasitology, Journal of Biological Chemistry and Science.
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.