Michael de Veer
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
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- Cell Adhesion Molecules Research
Papers in
-
- Immune Response and Inflammation 5
- Immunotherapy and Immune Responses 4
- Co-authors
- Els Meeusen (7 shared papers)Martin J. Elhay (5 shared papers)Joanna Kemp (3 shared papers)Lisa M. Kaminskas (1 shared paper)Michelle P. McIntosh (1 shared paper)Tomás Sou (1 shared paper)David Morton (1 shared paper)Gary F. Egan (3 shared papers)
- Journals
- Blood (3 papers)Vaccine (2 papers)Applied Sciences (1 paper)Experimental Hematology and Oncology (1 paper)PLoS ONE (1 paper)
- Partner nations
- AustraliaNetherlandsUnited States
In The Last Decade
Michael de Veer
31 papers receiving 683 citations
Peers
Comparison fields: 5 of 98
- Immunology 225
- Immunology and Allergy 36
- Neurology 48
- Pharmaceutical Science 35
- Parasitology 25
Countries citing papers authored by Michael de Veer
This map shows the geographic impact of Michael de Veer'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 Michael de Veer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael de Veer more than expected).
Fields of papers citing papers by Michael de Veer
This network shows the impact of papers produced by Michael de Veer. 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 Michael de Veer. The network helps show where Michael de Veer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael de Veer, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 158 | |
| 2 | 2011 | 92 | |
| 3 | 2010 | 54 | |
| 4 | 2022 | 44 | |
| 5 | 2019 | 43 | |
| 6 | 2013 | 26 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 24 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2013 | 20 | |
| 13 | 2011 | 17 | |
| 14 | 2019 | 17 | |
| 15 | 2013 | 16 | |
| 16 | 2013 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2024 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 6 |
About Michael de Veer
Michael de Veer is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 688 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Immunotherapy and Immune Responses (4 papers), Multiple Myeloma Research and Treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), Barrier Structure and Function Studies (2 papers), Lanthanide and Transition Metal Complexes (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Immunology (225 citations), Immunology and Allergy (36 citations), Neurology (48 citations), Pharmaceutical Science (35 citations) and Parasitology (25 citations). Michael de Veer has collaborated with scholars based in Australia, Netherlands and United States. Frequent co-authors include Els Meeusen, Martin J. Elhay, Joanna Kemp, Lisa M. Kaminskas, Michelle P. McIntosh, Tomás Sou, David Morton, Gary F. Egan, Adrian L. Smith and Rohit Jain. Their work appears in journals such as Blood, Vaccine, Applied Sciences, Experimental Hematology and Oncology and PLoS ONE.
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.