Martin Dreyling
- Pathology and Forensic Medicine top 0.01%
- Oncology top 0.1%
- Genetics top 0.05%
- Neurology top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Co-authors
- Wolfgang HiddemannEmanuele ZuccaMichael UnterhaltEva HosterBruce D. ChesonBertrand CoiffierRandy D. GascoyneJoseph M. Connors
- Topics
- Lymphoma Diagnosis and Treatment (336 papers)Chronic Lymphocytic Leukemia Research (188 papers)Viral-associated cancers and disorders (100 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Martin Dreyling
378 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Pathology and Forensic Medicine 10.3k
- Oncology 7.2k
- Genetics 4.8k
- Neurology 2.2k
- Pulmonary and Respiratory Medicine 1.8k
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 | 2 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 17 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 26 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | 16 | |
| 13 | 15 | |
| 14 | 81 | |
| 15 | 4 | |
| 16 | Mode of action of different PI3K-inhibitors in mantle cell lymphoma | 1 |
| 17 | 59 | |
| 18 | 255 | |
| 19 | 85 | |
| 20 | Preferential loss of expression of p16(INK4a) rather than p19(ARF) in breast cancer. | 50 |
About Martin Dreyling
Martin Dreyling is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 396 papers that have together received 13.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (336 papers), Chronic Lymphocytic Leukemia Research (188 papers) and Viral-associated cancers and disorders (100 papers). The work is most often cited by research in Pathology and Forensic Medicine (10.3k citations), Genetics (4.8k citations) and Oncology (7.2k citations). Martin Dreyling has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Wolfgang Hiddemann, Emanuele Zucca, Michael Unterhalt, Eva Hoster, Bruce D. Cheson, Bertrand Coiffier, Randy D. Gascoyne, Joseph M. Connors, Anton Hagenbeek and Kensei Tobinai. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.