Markus Scholz
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Cardiovascular Function and Risk Factors
Papers in
-
- Cardiovascular Function and Risk Factors 15
- Hematology 19
- Hematopoietic Stem Cell Transplantation 10
- Acute Myeloid Leukemia Research 8
- Co-authors
- Joachim ThieryMarkus LoefflerFrank BeutnerDaniel TeupserLesca M. HoldtGábor GäbelGerhard SchülerMichael Stümvoll
- Journals
- PLoS ONE (26 papers)Journal of Cardiothoracic and Vascular Anesthesia (5 papers)Clinical Research in Cardiology (4 papers)Atherosclerosis (4 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Markus Scholz
219 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Cancer Research 1.4k
- Cardiology and Cardiovascular Medicine 1.2k
- Molecular Biology 2.3k
- Hematology 350
- Genetics 856
Countries citing papers authored by Markus Scholz
This map shows the geographic impact of Markus Scholz'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 Scholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Scholz more than expected).
Fields of papers citing papers by Markus Scholz
This network shows the impact of papers produced by Markus Scholz. 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 Scholz. The network helps show where Markus Scholz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Scholz, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 77 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 30 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 6 | |
| 15 | 2017 | 1 | |
| 16 | 2013 | 307 | |
| 17 | 2013 | 20 | |
| 18 | 2012 | 27 | |
| 19 | 2011 | 6 | |
| 20 | 2008 | 19 |
About Markus Scholz
Markus Scholz is a scholar working on Cardiology and Cardiovascular Medicine, Hematology, Space and Planetary Science, Genetics and Otorhinolaryngology, having authored 226 papers that have together received 6.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (31 papers), Cardiovascular Function and Risk Factors (15 papers), Neutropenia and Cancer Infections (12 papers), Adipose Tissue and Metabolism (11 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Hematopoietic Stem Cell Transplantation (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Acute Myeloid Leukemia Research (8 papers). The work is most often cited by research in Cancer Research (1.4k citations), Cardiology and Cardiovascular Medicine (1.2k citations), Molecular Biology (2.3k citations), Hematology (350 citations) and Genetics (856 citations). Markus Scholz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Joachim Thiery, Markus Loeffler, Frank Beutner, Daniel Teupser, Lesca M. Holdt, Gábor Gäbel, Gerhard Schüler, Michael Stümvoll, Anke Tönjes and Knut Krohn. Their work appears in journals such as PLoS ONE, Journal of Cardiothoracic and Vascular Anesthesia, Clinical Research in Cardiology, Atherosclerosis and The Journal of Clinical Endocrinology & Metabolism.
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.