Ina Müller
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 10%
- CAR-T cell therapy research
- Cutaneous Melanoma Detection and Management
- Cancer Immunotherapy and Biomarkers
Papers in
-
- RNA Interference and Gene Delivery 5
- Cancer therapeutics and mechanisms 2
-
- Immunotherapy and Immune Responses 8
- Toxin Mechanisms and Immunotoxins 1
- Co-authors
- Jan Dörrie (6 shared papers)Niels Schaft (6 shared papers)Gerold Schuler (7 shared papers)Eckhart Kämpgen (5 shared papers)Verena Beck (3 shared papers)Detlef Dieckmann (2 shared papers)Erwin Schultz (2 shared papers)Dirk M. Nettelbeck (2 shared papers)
- Journals
- British Journal of Cancer (2 papers)The Journal of Immunology (2 papers)Cancer Immunology Immunotherapy (2 papers)International Journal of Hyperthermia (1 paper)OncoImmunology (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Ina Müller
13 papers receiving 466 citations
Peers
Comparison fields: 5 of 63
- Immunology 290
- Oncology 275
- Genetics 88
- Molecular Biology 208
- Biotechnology 21
Countries citing papers authored by Ina Müller
This map shows the geographic impact of Ina Müller'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 Ina Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ina Müller more than expected).
Fields of papers citing papers by Ina Müller
This network shows the impact of papers produced by Ina Müller. 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 Ina Müller. The network helps show where Ina Müller may publish in the future.
Co-authors
The 25 scholars most cited alongside Ina Müller, 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 | 2005 | 115 | |
| 2 | 2005 | 92 | |
| 3 | 2011 | 68 | |
| 4 | 2002 | 68 | |
| 5 | 2016 | 40 | |
| 6 | 2007 | 32 | |
| 7 | 2014 | 22 | |
| 8 | 1998 | 18 | |
| 9 | 2007 | 12 | |
| 10 | 2005 | 3 | |
| 11 | 2014 | 3 | |
| 12 | 2013 | 1 | |
| 13 | 2016 | 1 |
About Ina Müller
Ina Müller is a scholar working on Molecular Biology, Immunology, Oncology, Neurology and Genetics, having authored 13 papers that have together received 475 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), RNA Interference and Gene Delivery (5 papers), CAR-T cell therapy research (4 papers), Neuroblastoma Research and Treatments (4 papers), Virus-based gene therapy research (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer therapeutics and mechanisms (2 papers) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Immunology (290 citations), Oncology (275 citations), Genetics (88 citations), Molecular Biology (208 citations) and Biotechnology (21 citations). Ina Müller has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Jan Dörrie, Niels Schaft, Gerold Schuler, Eckhart Kämpgen, Verena Beck, Detlef Dieckmann, Erwin Schultz, Dirk M. Nettelbeck, Alexander Steinkasserer and Ilka Knippertz. Their work appears in journals such as British Journal of Cancer, The Journal of Immunology, Cancer Immunology Immunotherapy, International Journal of Hyperthermia and OncoImmunology.
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.