Dorothea Evers
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Biochemistry top 10%
- Blood transfusion and management
Papers in
- Hematology 14
- Blood groups and transfusion 12
-
- Erythrocyte Function and Pathophysiology 8
- Co-authors
- Jens Stoye (2 shared papers)Folker Meyer (2 shared papers)Jaap Jan Zwaginga (14 shared papers)Johanna G. van der Bom (11 shared papers)Karen M. K. de Vooght (10 shared papers)Daan van de Kerkhof (11 shared papers)Nathalie C. V. Péquériaux (11 shared papers)Otto Visser (8 shared papers)
- Journals
- Transfusion (4 papers)British Journal of Haematology (3 papers)Blood (3 papers)Bioinformatics (2 papers)Journal of Clinical Apheresis (2 papers)
- Partner nations
- NetherlandsGermanyItaly
In The Last Decade
Dorothea Evers
28 papers receiving 730 citations
Peers
Comparison fields: 5 of 76
- Hematology 262
- Biochemistry 69
- Genetics 83
- Physiology 127
- Genetics 106
Countries citing papers authored by Dorothea Evers
This map shows the geographic impact of Dorothea Evers'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 Dorothea Evers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dorothea Evers more than expected).
Fields of papers citing papers by Dorothea Evers
This network shows the impact of papers produced by Dorothea Evers. 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 Dorothea Evers. The network helps show where Dorothea Evers may publish in the future.
Co-authors
The 25 scholars most cited alongside Dorothea Evers, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 216 | |
| 2 | 2016 | 82 | |
| 3 | 2006 | 73 | |
| 4 | 2014 | 54 | |
| 5 | 2017 | 51 | |
| 6 | 2016 | 44 | |
| 7 | 2012 | 40 | |
| 8 | 1999 | 33 | |
| 9 | 2016 | 23 | |
| 10 | 2023 | 21 | |
| 11 | 2013 | 18 | |
| 12 | 2024 | 17 | |
| 13 | 2021 | 13 | |
| 14 | 2020 | 10 | |
| 15 | Generating benchmarks for multiple sequence alignments and phylogenetic reconstructions. | 1997 | 10 |
| 16 | 2021 | 8 | |
| 17 | 1992 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 2007 | 4 |
About Dorothea Evers
Dorothea Evers is a scholar working on Hematology, Physiology, Genetics, Biochemistry and Immunology, having authored 30 papers that have together received 757 indexed citations. Recurring topics across this work include Blood groups and transfusion (12 papers), Erythrocyte Function and Pathophysiology (8 papers), Blood transfusion and management (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Diabetes and associated disorders (2 papers), Hepatitis B Virus Studies (2 papers), Complement system in diseases (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Hematology (262 citations), Biochemistry (69 citations), Genetics (83 citations), Physiology (127 citations) and Genetics (106 citations). Dorothea Evers has collaborated with scholars based in Netherlands, Germany and Italy. Frequent co-authors include Jens Stoye, Folker Meyer, Jaap Jan Zwaginga, Johanna G. van der Bom, Karen M. K. de Vooght, Daan van de Kerkhof, Nathalie C. V. Péquériaux, Otto Visser, Masja de Haas and Rutger A. Middelburg. Their work appears in journals such as Transfusion, British Journal of Haematology, Blood, Bioinformatics and Journal of Clinical Apheresis.
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.