Max Endele
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Pluripotent Stem Cells Research 3
- Single-cell and spatial transcriptomics 3
- CRISPR and Genetic Engineering 3
-
- Acute Myeloid Leukemia Research 3
- Hematopoietic Stem Cell Transplantation 3
- Co-authors
- Timm Schroeder (12 shared papers)Martin Etzrodt (2 shared papers)Philipp S. Hoppe (5 shared papers)Konstantinos D. Kokkaliaris (5 shared papers)Dirk Loeffler (5 shared papers)Oliver Hilsenbeck (5 shared papers)Carsten Marr (2 shared papers)Fabian J. Theis (2 shared papers)
- Journals
- Blood (3 papers)Bioinformatics (1 paper)Nature Communications (1 paper)Pharmacogenetics and Genomics (1 paper)Cell stem cell (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Max Endele
15 papers receiving 680 citations
Peers
Comparison fields: 5 of 84
- Biophysics 149
- Hematology 128
- Immunology 117
- Molecular Biology 369
- Genetics 46
Countries citing papers authored by Max Endele
This map shows the geographic impact of Max Endele'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 Max Endele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Endele more than expected).
Fields of papers citing papers by Max Endele
This network shows the impact of papers produced by Max Endele. 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 Max Endele. The network helps show where Max Endele may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Endele, 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 | 2017 | 136 | |
| 2 | 2019 | 121 | |
| 3 | 2015 | 97 | |
| 4 | 2014 | 91 | |
| 5 | 2016 | 47 | |
| 6 | 2021 | 35 | |
| 7 | 2009 | 33 | |
| 8 | 2016 | 32 | |
| 9 | 2014 | 32 | |
| 10 | 2017 | 22 | |
| 11 | 2016 | 18 | |
| 12 | 2012 | 13 | |
| 13 | 2014 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2014 | 2 |
About Max Endele
Max Endele is a scholar working on Molecular Biology, Hematology, Immunology, Biophysics and Biomedical Engineering, having authored 15 papers that have together received 685 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Pluripotent Stem Cells Research (3 papers), T-cell and B-cell Immunology (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers), Cell Image Analysis Techniques (3 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Biophysics (149 citations), Hematology (128 citations), Immunology (117 citations), Molecular Biology (369 citations) and Genetics (46 citations). Max Endele has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Timm Schroeder, Martin Etzrodt, Philipp S. Hoppe, Konstantinos D. Kokkaliaris, Dirk Loeffler, Oliver Hilsenbeck, Carsten Marr, Fabian J. Theis, Michael Schwarzfischer and Yang Zhang. Their work appears in journals such as Blood, Bioinformatics, Nature Communications, Pharmacogenetics and Genomics and Cell stem cell.
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.