Markus Ball
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Hematology 13
- Acute Myeloid Leukemia Research 13
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- Cancer Genomics and Diagnostics 12
- Co-authors
- Eric Padron (11 shared papers)Alan F. List (8 shared papers)Rami S. Komrokji (9 shared papers)Qing Zhang (4 shared papers)Jeffrey E. Lancet (4 shared papers)Maria E. Balasis (6 shared papers)Michael L. Nerlich (4 shared papers)Sean Yoder (2 shared papers)
- Journals
- Blood (7 papers)Lung Cancer (3 papers)British Journal of Cancer (3 papers)Clinical Cancer Research (3 papers)Nature Communications (2 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Markus Ball
38 papers receiving 1.9k citations
Markus Ball's Hit Papers
Peers
Comparison fields: 5 of 88
- Hematology 887
- Cancer Research 209
- Archeology 152
- Genetics 92
- Genetics 299
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cancer therapy shapes the fitness landscape of clonal hematopoiesis Hit paper breakdown → | 2020 | 559 |
| 2 | 2012 | 310 | |
| 3 | 2016 | 263 | |
| 4 | 2018 | 99 | |
| 5 | 2017 | 84 | |
| 6 | 2013 | 64 | |
| 7 | 2017 | 59 | |
| 8 | 2022 | 57 | |
| 9 | 2013 | 55 | |
| 10 | 2016 | 48 | |
| 11 | 2018 | 41 | |
| 12 | 2020 | 40 | |
| 13 | 2018 | 39 | |
| 14 | 2023 | 27 | |
| 15 | 2021 | 24 | |
| 16 | 2023 | 24 | |
| 17 | 2019 | 20 | |
| 18 | 2020 | 17 | |
| 19 | 2019 | 15 | |
| 20 | 2022 | 15 |
About Markus Ball
Markus Ball is a scholar working on Hematology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 44 papers that have together received 2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Cancer Genomics and Diagnostics (12 papers), Lung Cancer Treatments and Mutations (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Paleopathology and ancient diseases (3 papers), Single-cell and spatial transcriptomics (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Hematology (887 citations), Cancer Research (209 citations), Archeology (152 citations), Genetics (92 citations) and Genetics (299 citations). Markus Ball has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Eric Padron, Alan F. List, Rami S. Komrokji, Qing Zhang, Jeffrey E. Lancet, Maria E. Balasis, Michael L. Nerlich, Sean Yoder, Carsten M. Pusch and Raffaella Bianucci. Their work appears in journals such as Blood, Lung Cancer, British Journal of Cancer, Clinical Cancer Research and Nature Communications.
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.