Markus Ball
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Yersinia bacterium, plague, ectoparasites research
Papers in
- Oncology 13
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- Cancer Genomics and Diagnostics 12
- Co-authors
- Eric Padron (9 shared papers)Alan F. List (7 shared papers)Michael Nerlich (3 shared papers)Carsten M. Pusch (3 shared papers)Raffaella Bianucci (3 shared papers)Maria E. Balasis (6 shared papers)Rami S. Komrokji (7 shared papers)Qing Zhang (3 shared papers)
- Journals
- Blood (4 papers)Leukemia (2 papers)Lung Cancer (2 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (2 papers)Journal of Molecular Diagnostics (2 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Markus Ball
23 papers receiving 530 citations
Peers
Comparison fields: 5 of 72
- Hematology 248
- Genetics 167
- Cancer Research 123
- Archeology 67
- Oncology 92
Countries citing papers authored by Markus Ball
This map shows the geographic impact of Markus Ball'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 Markus Ball with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Ball more than expected).
Fields of papers citing papers by Markus Ball
This network shows the impact of papers produced by Markus Ball. 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 Markus Ball. The network helps show where Markus Ball may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Ball, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 199 | |
| 2 | 2013 | 58 | |
| 3 | 2013 | 52 | |
| 4 | 2016 | 43 | |
| 5 | 2020 | 31 | |
| 6 | 2018 | 29 | |
| 7 | 2019 | 20 | |
| 8 | 2020 | 16 | |
| 9 | 2017 | 14 | |
| 10 | 2012 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2020 | 2 |
About Markus Ball
Markus Ball is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 28 papers that have together received 537 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Lung Cancer Treatments and Mutations (9 papers), Acute Myeloid Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Single-cell and spatial transcriptomics (3 papers), Epigenetics and DNA Methylation (3 papers) and Paleopathology and ancient diseases (3 papers). The work is most often cited by research in Hematology (248 citations), Genetics (167 citations), Cancer Research (123 citations), Archeology (67 citations) and Oncology (92 citations). Markus Ball has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Eric Padron, Alan F. List, Michael Nerlich, Carsten M. Pusch, Raffaella Bianucci, Maria E. Balasis, Rami S. Komrokji, Qing Zhang, David A. Sallman and Jeffrey E. Lancet. Their work appears in journals such as Blood, Leukemia, Lung Cancer, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Journal of Molecular Diagnostics.
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.