Marca H. M. Wauben
- Cancer Research top 0.1%
- MicroRNA in disease regulation 21
- Molecular Biology top 0.2%
- Extracellular vesicles in disease 61
- RNA Interference and Gene Delivery 12
- vaccines and immunoinformatics approaches 12
- Immunology and Allergy top 0.5%
- Immunology top 0.5%
- Immunotherapy and Immune Responses 47
- T-cell and B-cell Immunology 34
- Immune Cell Function and Interaction 22
- Obstetrics and Gynecology top 2%
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- Monoclonal and Polyclonal Antibodies Research 22
- Co-authors
- Esther N. M. Nolte‐‘t HoenWillem StoorvogelKenneth W. WitwerClotilde ThéryJan LötvallEdit I. BuzásFred H. HochbergAndrew F. Hill
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Nature Medicine (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Marca H. M. Wauben
139 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cancer Research 5.0k
- Molecular Biology 10.0k
- Immunology and Allergy 822
- Immunology 2.8k
- Obstetrics and Gynecology 396
Countries citing papers authored by Marca H. M. Wauben
This map shows the geographic impact of Marca H. M. Wauben'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 Marca H. M. Wauben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marca H. M. Wauben more than expected).
Fields of papers citing papers by Marca H. M. Wauben
This network shows the impact of papers produced by Marca H. M. Wauben. 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 Marca H. M. Wauben. The network helps show where Marca H. M. Wauben may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marca H. M. Wauben, 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 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 30 | |
| 6 | 2023 | 30 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 69 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 88 | |
| 11 | Defined breast milk EV subsets boost the immune response and skew the T-cell balance towards a regulatory phenotype | 2015 | 1 |
| 12 | 2012 | 80 | |
| 13 | 2012 | 15 | |
| 14 | 2011 | 20 | |
| 15 | 2004 | 17 | |
| 16 | 2004 | 19 | |
| 17 | 2001 | 7 | |
| 18 | 2000 | 58 | |
| 19 | 2000 | 31 | |
| 20 | 2000 | 9 |
About Marca H. M. Wauben
Marca H. M. Wauben is a scholar working on Immunology, Immunology and Allergy and Cancer Research, having authored 142 papers that have together received 12.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (61 papers), Immunotherapy and Immune Responses (47 papers), T-cell and B-cell Immunology (34 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Immune Cell Function and Interaction (22 papers), MicroRNA in disease regulation (21 papers), RNA Interference and Gene Delivery (12 papers) and vaccines and immunoinformatics approaches (12 papers). The work is most often cited by research in Cancer Research (5.0k citations), Molecular Biology (10.0k citations) and Immunology and Allergy (822 citations). Marca H. M. Wauben has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Esther N. M. Nolte‐‘t Hoen, Willem Stoorvogel, Kenneth W. Witwer, Clotilde Théry, Jan Lötvall, Edit I. Buzás, Fred H. Hochberg, Andrew F. Hill, Chris Gardiner and Dolores Di Vizio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.
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.