Thomas Büchner
Impact in
- Hematology top 0.1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Genetics top 1%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 31
- Acute Myeloid Leukemia Research 26
- Genetics 8
- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Elihu H. EsteyFrancesco Lo‐CocoMartin S. TallmanMiguel Á. SanzBob LöwenbergWolfgang HiddemannDavid HeadRoel Willemze
- Journals
- Blood (9 papers)Annals of Hematology (8 papers)Leukemia Research (5 papers)British Journal of Haematology (4 papers)Leukemia (4 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Thomas Büchner
75 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Hematology 3.3k
- Genetics 911
- Public Health, Environmental and Occupational Health 1.0k
- Oncology 918
- Molecular Biology 2.0k
Countries citing papers authored by Thomas Büchner
This map shows the geographic impact of Thomas Büchner'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 Thomas Büchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Büchner more than expected).
Fields of papers citing papers by Thomas Büchner
This network shows the impact of papers produced by Thomas Büchner. 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 Thomas Büchner. The network helps show where Thomas Büchner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Büchner, 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 | 2024 | 34 | |
| 2 | 2024 | 21 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 82 | |
| 6 | 2022 | 69 | |
| 7 | 2021 | 58 | |
| 8 | 2014 | 50 | |
| 9 | 2012 | 27 | |
| 10 | 2002 | 173 | |
| 11 | 2002 | 52 | |
| 12 | 1999 | 49 | |
| 13 | 1999 | 0 | |
| 14 | 1998 | 13 | |
| 15 | 1998 | 18 | |
| 16 | 1993 | 9 | |
| 17 | 1991 | 65 | |
| 18 | 1986 | 132 | |
| 19 | 1975 | 3 | |
| 20 | 1974 | 10 |
About Thomas Büchner
Thomas Büchner is a scholar working on Hematology, Genetics, Oncology, Emergency Medicine and Condensed Matter Physics, having authored 76 papers that have together received 5.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (26 papers), Soft Robotics and Applications (10 papers), Retinoids in leukemia and cellular processes (8 papers), Neutropenia and Cancer Infections (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Hematological disorders and diagnostics (5 papers). The work is most often cited by research in Hematology (3.3k citations), Genetics (911 citations), Public Health, Environmental and Occupational Health (1.0k citations), Oncology (918 citations) and Molecular Biology (2.0k citations). Thomas Büchner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Elihu H. Estey, Francesco Lo‐Coco, Martin S. Tallman, Miguel Á. Sanz, Bob Löwenberg, Wolfgang Hiddemann, David Head, Roel Willemze, Richard A. Larson and John M. Bennett. Their work appears in journals such as Blood, Annals of Hematology, Leukemia Research, British Journal of Haematology and Leukemia.
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.