Martin Dreyling
- Hematology top 2%
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Genetics top 5%
- Molecular Biology
- Co-authors
- Michele BaccaraniWolfgang HiddemannJean‐Luc HarousseauPhilippe MoreauJesús F. San MiguelMeletios Α. DimopoulosHarry C. SchoutenHeinz Ludwig
- Topics
- Lymphoma Diagnosis and Treatment (46 papers)Chronic Lymphocytic Leukemia Research (25 papers)Viral-associated cancers and disorders (11 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Martin Dreyling
53 papers receiving 916 citations
Peers
Comparison fields: 5 of 79
- Hematology 406
- Oncology 400
- Pathology and Forensic Medicine 376
- Genetics 319
- Molecular Biology 292
Countries citing papers authored by Martin Dreyling
This map shows the geographic impact of Martin Dreyling'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 Martin Dreyling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Dreyling more than expected).
Fields of papers citing papers by Martin Dreyling
This network shows the impact of papers produced by Martin Dreyling. 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 Martin Dreyling. The network helps show where Martin Dreyling may publish in the future.
Co-authorship network of co-authors of Martin Dreyling
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Dreyling. A scholar is included among the top collaborators of Martin Dreyling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Dreyling. Martin Dreyling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 158 | |
| 7 | 23 | |
| 8 | 38 | |
| 9 | 50 | |
| 10 | 23 | |
| 11 | 28 | |
| 12 | 2 | |
| 13 | 39 | |
| 14 | 13 | |
| 15 | 30 | |
| 16 | 16 | |
| 17 | 47 | |
| 18 | 30 | |
| 19 | The addition of rituximab to combination chemotherapy with fludarabine, cyclophosphamide, mitoxantrone (FCM) results in a significant increase of overall response as compared to FCM alone in patients with relapsed or refractory follicular (FCL) and mantel cell lymphomas (MCL) - Results of a prospective randomized comparison of the German low grade study group (GLSG). | 0 |
| 20 | 22 |
About Martin Dreyling
Martin Dreyling is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology, having authored 63 papers that have together received 938 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (46 papers), Chronic Lymphocytic Leukemia Research (25 papers) and Viral-associated cancers and disorders (11 papers). The work is most often cited by research in Hematology (406 citations), Genetics (319 citations) and Pathology and Forensic Medicine (376 citations). Martin Dreyling has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Michele Baccarani, Wolfgang Hiddemann, Jean‐Luc Harousseau, Philippe Moreau, Jesús F. San Miguel, Meletios Α. Dimopoulos, Harry C. Schouten, Heinz Ludwig, Mohamad Mohty and Georg Lenz. Their work appears in journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.
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.