Maik Drechsler
- Immunology top 0.5%
- Molecular Biology top 5%
- Epidemiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Co-authors
- Christian WeberOliver SoehnleinYvonne DöringRemco T. A. MegensMarc van ZandvoortJohan DuchêneMaximilian J. SchlossMichael Horckmans
- Topics
- Atherosclerosis and Cardiovascular Diseases (16 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (10 papers)Immune Response and Inflammation (9 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Maik Drechsler
55 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Immunology 2.5k
- Molecular Biology 1.4k
- Epidemiology 675
- Cardiology and Cardiovascular Medicine 629
- Surgery 487
Countries citing papers authored by Maik Drechsler
This map shows the geographic impact of Maik Drechsler'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 Maik Drechsler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maik Drechsler more than expected).
Fields of papers citing papers by Maik Drechsler
This network shows the impact of papers produced by Maik Drechsler. 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 Maik Drechsler. The network helps show where Maik Drechsler may publish in the future.
Co-authorship network of co-authors of Maik Drechsler
This figure shows the co-authorship network connecting the top 25 collaborators of Maik Drechsler. A scholar is included among the top collaborators of Maik Drechsler 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 Maik Drechsler. Maik Drechsler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 29 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 58 | |
| 7 | Neutrophils orchestrate post-myocardial infarction healing by polarizing macrophages towards a reparative phenotypebreakdown → | 569 |
| 8 | 114 | |
| 9 | 32 | |
| 10 | 39 | |
| 11 | 47 | |
| 12 | 62 | |
| 13 | 183 | |
| 14 | Chemokine receptor axes sequentially control the prominent proatherogenic function of classical monocytes | 0 |
| 15 | 20 | |
| 16 | 40 | |
| 17 | 61 | |
| 18 | 32 | |
| 19 | 1 | |
| 20 | 21 |
About Maik Drechsler
Maik Drechsler is a scholar working on Immunology, Immunology and Allergy and Cell Biology, having authored 57 papers that have together received 4.2k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (16 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (10 papers) and Immune Response and Inflammation (9 papers). The work is most often cited by research in Immunology (2.5k citations), Immunology and Allergy (347 citations) and Cardiology and Cardiovascular Medicine (629 citations). Maik Drechsler has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Christian Weber, Oliver Soehnlein, Yvonne Döring, Remco T. A. Megens, Oliver Soehnlein, Marc van Zandvoort, Johan Duchêne, Maximilian J. Schloss, Michael Horckmans and Sabine Steffens. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.
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.