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 17
- Chronic Lymphocytic Leukemia Research 17
- 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)Thomas Wossning (1 shared paper)Christine Dierks (5 shared papers)
- Journals
- Blood (11 papers)Nature Communications (2 papers)PLoS ONE (2 papers)Science Translational Medicine (2 papers)Blood Advances (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Maike Buchner
33 papers receiving 1.3k citations
Maike Buchner's Hit Papers
Peers
Comparison fields: 5 of 81
- Genetics 626
- Immunology 501
- Pathology and Forensic Medicine 395
- Hematology 240
- Oncology 218
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 | 382 |
| 2 | 2010 | 143 | |
| 3 | 2009 | 141 | |
| 4 | 2018 | 113 | |
| 5 | 2016 | 84 | |
| 6 | 2021 | 54 | |
| 7 | 2011 | 45 | |
| 8 | 2015 | 41 | |
| 9 | 2010 | 34 | |
| 10 | 2014 | 31 | |
| 11 | 2012 | 31 | |
| 12 | 2014 | 29 | |
| 13 | 2022 | 27 | |
| 14 | 2018 | 25 | |
| 15 | 2010 | 25 | |
| 16 | 2020 | 23 | |
| 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 Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (17 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Phagocytosis and Immune Regulation (5 papers), Immune Cell Function and Interaction (4 papers) and Protein Tyrosine Phosphatases (4 papers). The work is most often cited by research in Genetics (626 citations), Immunology (501 citations), Pathology and Forensic Medicine (395 citations), Hematology (240 citations) and Oncology (218 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, Thomas Wossning, Christine Dierks, Marie Follo and Hedda Wardemann. Their work appears in journals such as Blood, Nature Communications, PLoS ONE, Science Translational Medicine and Blood Advances.
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.