Marcus Dittrich
Impact in
- Obstetrics and Gynecology top 2%
- Gestational Diabetes Research and Management
- Hematology top 5%
- Platelet Disorders and Treatments
Papers in
-
- Epigenetics and DNA Methylation 19
- RNA modifications and cancer 5
- Bioinformatics and Genomic Networks 5
- Genetics 21
- Genetic Syndromes and Imprinting 8
- Genetics and Neurodevelopmental Disorders 5
- Co-authors
- Thomas Dandekar (31 shared papers)Tobias Müller (33 shared papers)Gunnar W. Klau (7 shared papers)Thomas Haaf (28 shared papers)Ingvild Birschmann (19 shared papers)Nady El Hajj (14 shared papers)Andreas Rosenwald (1 shared paper)Tobias Müller (13 shared papers)
- Journals
- PLoS ONE (9 papers)Bioinformatics (4 papers)Blood (3 papers)Aging (3 papers)Cells (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Marcus Dittrich
100 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 152
- Obstetrics and Gynecology 192
- Hematology 280
- Molecular Biology 1.6k
- Internal Medicine 69
- Microbiology 115
Countries citing papers authored by Marcus Dittrich
This map shows the geographic impact of Marcus Dittrich'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 Marcus Dittrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Dittrich more than expected).
Fields of papers citing papers by Marcus Dittrich
This network shows the impact of papers produced by Marcus Dittrich. 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 Marcus Dittrich. The network helps show where Marcus Dittrich may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcus Dittrich, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 334 | |
| 2 | 2018 | 263 | |
| 3 | 2017 | 198 | |
| 4 | 2012 | 197 | |
| 5 | 2010 | 167 | |
| 6 | 2019 | 147 | |
| 7 | 2017 | 139 | |
| 8 | 2015 | 93 | |
| 9 | 2017 | 86 | |
| 10 | 2014 | 85 | |
| 11 | 2011 | 83 | |
| 12 | 2006 | 81 | |
| 13 | 2013 | 77 | |
| 14 | 2014 | 77 | |
| 15 | 2011 | 66 | |
| 16 | 2006 | 64 | |
| 17 | 2016 | 64 | |
| 18 | 2017 | 64 | |
| 19 | 2008 | 58 | |
| 20 | 2016 | 58 |
About Marcus Dittrich
Marcus Dittrich is a scholar working on Molecular Biology, Genetics, Immunology, Infectious Diseases and Hematology, having authored 103 papers that have together received 3.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (19 papers), Platelet Disorders and Treatments (8 papers), Genetic Syndromes and Imprinting (8 papers), Immunotherapy and Immune Responses (5 papers), RNA modifications and cancer (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Antifungal resistance and susceptibility (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Obstetrics and Gynecology (192 citations), Hematology (280 citations), Molecular Biology (1.6k citations), Internal Medicine (69 citations) and Microbiology (115 citations). Marcus Dittrich has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Dandekar, Tobias Müller, Gunnar W. Klau, Thomas Haaf, Ingvild Birschmann, Nady El Hajj, Andreas Rosenwald, Tobias Müller, H Lehnen and Daniela Beißer. Their work appears in journals such as PLoS ONE, Bioinformatics, Blood, Aging and Cells.
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.