Immanuel Andrä
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Aging top 10%
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 2
- Genetics 2
- Glioma Diagnosis and Treatment 2
- Co-authors
- Matthias Schiemann (3 shared papers)Gina Marka (1 shared paper)Kalpana Nattamai (1 shared paper)Robert A.J. Oostendorp (2 shared papers)Maria Carolina Florian (1 shared paper)Yi Zheng (1 shared paper)Christina Eckl (1 shared paper)Hartmut Geiger (1 shared paper)
- Journals
- European Journal of Immunology (4 papers)Immunity (2 papers)JCI Insight (1 paper)iScience (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Immanuel Andrä
14 papers receiving 2.1k citations
Immanuel Andrä's Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 819
- Aging 28
- Hematology 168
- Biophysics 74
- Oncology 172
Countries citing papers authored by Immanuel Andrä
This map shows the geographic impact of Immanuel Andrä'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 Immanuel Andrä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Immanuel Andrä more than expected).
Fields of papers citing papers by Immanuel Andrä
This network shows the impact of papers produced by Immanuel Andrä. 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 Immanuel Andrä. The network helps show where Immanuel Andrä may publish in the future.
Co-authors
The 25 scholars most cited alongside Immanuel Andrä, 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 | Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) Hit paper breakdown → | 2019 | 817 |
| 2 | Guidelines for the use of flow cytometry and cell sorting in immunological studies * Hit paper breakdown → | 2017 | 469 |
| 3 | Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition) Hit paper breakdown → | 2021 | 354 |
| 4 | 2013 | 250 | |
| 5 | 2021 | 57 | |
| 6 | 2019 | 55 | |
| 7 | 2021 | 43 | |
| 8 | 2020 | 34 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2025 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2021 | 1 |
About Immanuel Andrä
Immanuel Andrä is a scholar working on Immunology, Genetics, Hematology, Biomedical Engineering and Virology, having authored 14 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Microfluidic and Bio-sensing Technologies (3 papers), Immune Cell Function and Interaction (2 papers), Glioma Diagnosis and Treatment (2 papers), Helicobacter pylori-related gastroenterology studies (1 paper), HIV Research and Treatment (1 paper), CAR-T cell therapy research (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Immunology (819 citations), Aging (28 citations), Hematology (168 citations), Biophysics (74 citations) and Oncology (172 citations). Immanuel Andrä has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Matthias Schiemann, Gina Marka, Kalpana Nattamai, Robert A.J. Oostendorp, Maria Carolina Florian, Yi Zheng, Christina Eckl, Hartmut Geiger, Karin Scharffetter‐Kochanek and Hans Armin Kestler. Their work appears in journals such as European Journal of Immunology, Immunity, JCI Insight, iScience and Cell Reports Medicine.
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.