Margriet E. M. Kraakman
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 11
- Endocrinology top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 8
- Immunology top 5%
- Immunodeficiency and Autoimmune Disorders 19
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 5
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- Bacterial Identification and Susceptibility Testing 7
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- Antimicrobial Resistance in Staphylococcus 5
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- Blood groups and transfusion 5
- Co-authors
- Ruud K. B. SchuurmanRudi W. HendriksRob G.J. MensinkMichel de WeersA.T. BernardsS. PaltansingKarin Ellen VeldkampLeo G. Visser
- Journals
- The Journal of Immunology (1 paper)Analytical Chemistry (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Margriet E. M. Kraakman
45 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Molecular Medicine 289
- Applied Microbiology and Biotechnology 67
- Endocrinology 137
- Genetics 262
- Immunology 458
Countries citing papers authored by Margriet E. M. Kraakman
This map shows the geographic impact of Margriet E. M. Kraakman'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 Margriet E. M. Kraakman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margriet E. M. Kraakman more than expected).
Fields of papers citing papers by Margriet E. M. Kraakman
This network shows the impact of papers produced by Margriet E. M. Kraakman. 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 Margriet E. M. Kraakman. The network helps show where Margriet E. M. Kraakman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Margriet E. M. Kraakman, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 13 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 17 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 28 | |
| 8 | 2019 | 7 | |
| 9 | 2014 | 13 | |
| 10 | 2012 | 45 | |
| 11 | 2008 | 24 | |
| 12 | 2000 | 38 | |
| 13 | 1995 | 6 | |
| 14 | 1993 | 10 | |
| 15 | 1993 | 168 | |
| 16 | 1992 | 21 | |
| 17 | 1991 | 20 | |
| 18 | 1990 | 11 | |
| 19 | 1990 | 8 | |
| 20 | 1990 | 45 |
About Margriet E. M. Kraakman
Margriet E. M. Kraakman is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (19 papers), Antibiotic Resistance in Bacteria (11 papers), Chronic Lymphocytic Leukemia Research (8 papers), Bacterial Identification and Susceptibility Testing (7 papers), T-cell and B-cell Immunology (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Immune Cell Function and Interaction (5 papers) and Blood groups and transfusion (5 papers). The work is most often cited by research in Molecular Medicine (289 citations), Applied Microbiology and Biotechnology (67 citations) and Endocrinology (137 citations). Margriet E. M. Kraakman has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Ruud K. B. Schuurman, Rudi W. Hendriks, Rob G.J. Mensink, Michel de Weers, A.T. Bernards, S. Paltansing, Karin Ellen Veldkamp, Leo G. Visser, Jessica A. Vlot and Martie C. M. Verschuren. Their work appears in journals such as The Journal of Immunology, Analytical Chemistry and Journal of Clinical Microbiology.
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.