Maike Buchner
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Immunology top 5%
- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 9
- Protein Tyrosine Phosphatases 4
- Genetics 18
- Chronic Lymphocytic Leukemia Research 18
- Co-authors
- Katja Zirlik (11 shared papers)Hassan Jumaa (7 shared papers)Hendrik Veelken (9 shared papers)Markus Müschen (13 shared papers)Meike Burger (5 shared papers)Gabriele Prinz (5 shared papers)Rudolf Übelhart (1 shared paper)Hedda Wardemann (1 shared paper)
- Journals
- Blood (11 papers)Nature Communications (2 papers)Science Translational Medicine (2 papers)PLoS ONE (2 papers)Cancer Research (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Maike Buchner
33 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Genetics 649
- Immunology 546
- Pathology and Forensic Medicine 439
- Hematology 269
- Oncology 238
Countries citing papers authored by Maike Buchner
This map shows the geographic impact of Maike Buchner'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 Maike Buchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maike Buchner more than expected).
Fields of papers citing papers by Maike Buchner
This network shows the impact of papers produced by Maike Buchner. 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 Maike Buchner. The network helps show where Maike Buchner may publish in the future.
Co-authors
The 25 scholars most cited alongside Maike Buchner, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chronic lymphocytic leukaemia is driven by antigen-independent cell-autonomous signalling Hit paper breakdown → | 2012 | 379 |
| 2 | 2010 | 144 | |
| 3 | 2009 | 141 | |
| 4 | 2018 | 107 | |
| 5 | 2016 | 83 | |
| 6 | 2021 | 50 | |
| 7 | 2011 | 44 | |
| 8 | 2015 | 39 | |
| 9 | 2010 | 34 | |
| 10 | 2012 | 31 | |
| 11 | 2014 | 31 | |
| 12 | 2014 | 29 | |
| 13 | 2022 | 25 | |
| 14 | 2010 | 25 | |
| 15 | 2018 | 24 | |
| 16 | 2020 | 22 | |
| 17 | 2010 | 19 | |
| 18 | 2020 | 15 | |
| 19 | 2016 | 13 | |
| 20 | 2010 | 12 |
About Maike Buchner
Maike Buchner is a scholar working on Molecular Biology, Genetics, Immunology, Hematology and Oncology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (18 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Chronic Myeloid Leukemia Treatments (7 papers), Phagocytosis and Immune Regulation (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Protein Tyrosine Phosphatases (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Genetics (649 citations), Immunology (546 citations), Pathology and Forensic Medicine (439 citations), Hematology (269 citations) and Oncology (238 citations). Maike Buchner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Katja Zirlik, Hassan Jumaa, Hendrik Veelken, Markus Müschen, Meike Burger, Gabriele Prinz, Rudolf Übelhart, Hedda Wardemann, Thomas Wossning and Marie Follo. Their work appears in journals such as Blood, Nature Communications, Science Translational Medicine, PLoS ONE and Cancer Research.
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.