Iris Bigalke
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
- Viral-associated cancers and disorders
Papers in
- Immunology 15
- Immunotherapy and Immune Responses 14
- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 2
- Oncology 12
- CAR-T cell therapy research 7
- Cancer Immunotherapy and Biomarkers 4
- Polyomavirus and related diseases 2
- Co-authors
- Dolores J. Schendel (8 shared papers)Bernhard Frankenberger (2 shared papers)Stefanie Tippmer (2 shared papers)Heike Pohla (1 shared paper)Anke Zobywalski (1 shared paper)Elisabeth Kremmer (1 shared paper)Hans‐Jochem Kolb (3 shared papers)Georg Ledderose (4 shared papers)
In The Last Decade
Iris Bigalke
20 papers receiving 547 citations
Peers
Comparison fields: 5 of 55
- Immunology 319
- Oncology 274
- Hematology 62
- Epidemiology 102
- Genetics 68
Countries citing papers authored by Iris Bigalke
This map shows the geographic impact of Iris Bigalke'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 Bigalke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Bigalke more than expected).
Fields of papers citing papers by Iris Bigalke
This network shows the impact of papers produced by Iris Bigalke. 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 Bigalke. The network helps show where Iris Bigalke may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris Bigalke, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 191 | |
| 2 | 2007 | 112 | |
| 3 | 2010 | 65 | |
| 4 | 2014 | 37 | |
| 5 | 2020 | 33 | |
| 6 | 1993 | 26 | |
| 7 | 2021 | 23 | |
| 8 | 2023 | 21 | |
| 9 | 2016 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2005 | 6 | |
| 13 | 2015 | 6 | |
| 14 | 2004 | 4 | |
| 15 | 2014 | 3 | |
| 16 | 2015 | 2 | |
| 17 | 2014 | 1 | |
| 18 | 2020 | 1 | |
| 19 | Induction of antigen-specific T-cell responses through dendritic cell vaccination in AML: results of a phase I/II trial and ex vivo enhancement by checkpoint blockade | 2016 | 1 |
| 20 | 2017 | 1 |
About Iris Bigalke
Iris Bigalke is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Immunology and Allergy, having authored 21 papers that have together received 556 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), RNA Interference and Gene Delivery (8 papers), CAR-T cell therapy research (7 papers), Hematopoietic Stem Cell Transplantation (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (3 papers), Polyomavirus and related diseases (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (319 citations), Oncology (274 citations), Hematology (62 citations), Epidemiology (102 citations) and Genetics (68 citations). Iris Bigalke has collaborated with scholars based in Germany, Norway and Brazil. Frequent co-authors include Dolores J. Schendel, Bernhard Frankenberger, Stefanie Tippmer, Heike Pohla, Anke Zobywalski, Elisabeth Kremmer, Hans‐Jochem Kolb, Georg Ledderose, Johanna Tischer and Wolfgang Hammerschmidt. Their work appears in journals such as Blood, Cancer Immunology Immunotherapy, Clinical & Translational Immunology, The Journal of Immunology and Cytotherapy.
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.