Martin Dugas
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 53
- Health Information Management top 0.05%
- Electronic Health Records Systems 60
- Genetics top 1%
- Health Informatics top 1%
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 24
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- Biomedical Text Mining and Ontologies 58
- Gene expression and cancer classification 24
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- Scientific Computing and Data Management 26
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- Clinical practice guidelines implementation 22
- Acute Lymphoblastic Leukemia research 17
- Co-authors
- Torsten HaferlachSusanne SchnittgerWolfgang KernClaudia SchochHans‐Ulrich KleinAlexander KohlmannWolfgang HiddemannFleur Fritz
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Martin Dugas
337 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Hematology 2.3k
- Health Information Management 755
- Genetics 868
- Health Informatics 100
- Cancer Research 1.1k
Countries citing papers authored by Martin Dugas
This map shows the geographic impact of Martin Dugas'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 Dugas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Dugas more than expected).
Fields of papers citing papers by Martin Dugas
This network shows the impact of papers produced by Martin Dugas. 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 Dugas. The network helps show where Martin Dugas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Dugas, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 31 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 59 | |
| 11 | 2020 | 4 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 10 | |
| 14 | 2016 | 25 | |
| 15 | 2016 | 36 | |
| 16 | Standardized mappings--a framework to combine different semantic mappers into a standardized web-API. | 2015 | 1 |
| 17 | 2013 | 41 | |
| 18 | 2009 | 59 | |
| 19 | 2005 | 22 | |
| 20 | An intranet-based information system for nurses. | 1998 | 3 |
About Martin Dugas
Martin Dugas is a scholar working on Health Information Management, Hematology and Information Systems and Management, having authored 347 papers that have together received 9.9k indexed citations. Recurring topics across this work include Electronic Health Records Systems (60 papers), Biomedical Text Mining and Ontologies (58 papers), Acute Myeloid Leukemia Research (53 papers), Scientific Computing and Data Management (26 papers), Cancer Genomics and Diagnostics (24 papers), Gene expression and cancer classification (24 papers), Clinical practice guidelines implementation (22 papers) and Acute Lymphoblastic Leukemia research (17 papers). The work is most often cited by research in Hematology (2.3k citations), Health Information Management (755 citations) and Genetics (868 citations). Martin Dugas has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Torsten Haferlach, Susanne Schnittger, Wolfgang Kern, Claudia Schoch, Hans‐Ulrich Klein, Alexander Kohlmann, Wolfgang Hiddemann, Fleur Fritz, Katja Hebestreit and Carsten Müller‐Tidow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.