Iris Dallmann
- Molecular Biology
- Oncology top 10%
- Immunology top 10%
- Cancer Research top 10%
- Hematology top 10%
- Co-authors
- Arnold GanserJens AtzpodienMichaela ScherrMatthias EderKarin BattmerH. PoliwodaHartmut KirchnerJan Buer
- Topics
- Immunotherapy and Immune Responses (10 papers)Immune Cell Function and Interaction (7 papers)Cancer Immunotherapy and Biomarkers (6 papers)
- Cited by
- Cancer ResearchImmunologyOncology
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Iris Dallmann
34 papers receiving 961 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 480
- Oncology 376
- Immunology 366
- Cancer Research 266
- Hematology 114
Countries citing papers authored by Iris Dallmann
This map shows the geographic impact of Iris Dallmann'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 Iris Dallmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Dallmann more than expected).
Fields of papers citing papers by Iris Dallmann
This network shows the impact of papers produced by Iris Dallmann. 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 Iris Dallmann. The network helps show where Iris Dallmann may publish in the future.
Co-authorship network of co-authors of Iris Dallmann
This figure shows the co-authorship network connecting the top 25 collaborators of Iris Dallmann. A scholar is included among the top collaborators of Iris Dallmann 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 Iris Dallmann. Iris Dallmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 24 | |
| 3 | 12 | |
| 4 | 152 | |
| 5 | 18 | |
| 6 | 24 | |
| 7 | 22 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 68 | |
| 11 | 21 | |
| 12 | 125 | |
| 13 | In vivo tumor necrosis factor-alpha as indicator of biologic and clinical response to low-dose SC recombinant interleukin 2. | 3 |
| 14 | 28 | |
| 15 | 9 | |
| 16 | 50 | |
| 17 | 29 | |
| 18 | 13 | |
| 19 | Diminished expression of interleukin-2 receptors in vivo after prior chemotherapy in advanced cancer patients receiving recombinant interleukin-2. | 2 |
| 20 | Regulation of the in vitro monoclonal immunoglobulin production in cultures of peripheral blood mononuclear cells and bone marrow cells from myeloma patients mediated by T cell dependent mitogens. | 10 |
About Iris Dallmann
Iris Dallmann is a scholar working on Hematology, Immunology and Oncology, having authored 34 papers that have together received 984 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Immune Cell Function and Interaction (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). The work is most often cited by research in Cancer Research (266 citations), Immunology (366 citations) and Oncology (376 citations). Iris Dallmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Arnold Ganser, Jens Atzpodien, Michaela Scherr, Matthias Eder, Karin Battmer, H. Poliwoda, Hartmut Kirchner, Jan Buer, Letizia Venturini and Jens Grosse. Their work appears in journals such as Nucleic Acids Research, Blood and The Journal of Immunology.
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.