Mihai G. Netea
- Immunology top 1%
- Immune responses and vaccinations 18
- Immune cells in cancer 4
- Immunodeficiency and Autoimmune Disorders 3
- Health top 1%
- Vaccine Coverage and Hesitancy 5
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 2
- Obstetrics and Gynecology top 2%
- COVID-19 Impact on Reproduction 3
- Microbiology top 5%
- Reproductive tract infections research 3
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- Vibrio bacteria research studies 2
- Co-authors
- Jessica QuintinJ.W.M. van der MeerLeo A. B. JoostenPeter AabyLiisa K. SelinChristine Stabell BennJoachim L. SchultzeKatarzyna Placek
- Cited by
- ImmunologyHealthInfectious Diseases
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Immunity (1 paper)Nature reviews. Immunology (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Mihai G. Netea
25 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Immunology 2.3k
- Health 504
- Infectious Diseases 741
- Obstetrics and Gynecology 311
- Microbiology 84
Countries citing papers authored by Mihai G. Netea
This map shows the geographic impact of Mihai G. Netea'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 Mihai G. Netea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai G. Netea more than expected).
Fields of papers citing papers by Mihai G. Netea
This network shows the impact of papers produced by Mihai G. Netea. 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 Mihai G. Netea. The network helps show where Mihai G. Netea may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mihai G. Netea, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 29 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 16 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 2 | |
| 10 | Innate and Adaptive Immune Memory: an Evolutionary Continuum in the Host’s Response to Pathogensbreakdown → | 2019 | 369 |
| 11 | 2016 | 177 | |
| 12 | 2016 | 32 | |
| 13 | 2014 | 6 | |
| 14 | 2014 | 17 | |
| 15 | 2014 | 107 | |
| 16 | 2014 | 193 | |
| 17 | 2013 | 43 | |
| 18 | A small jab – a big effect: nonspecific immunomodulation by vaccinesbreakdown → | 2013 | 377 |
| 19 | Trained Immunity: A Memory for Innate Host Defensebreakdown → | 2011 | 1143 |
| 20 | 2010 | 59 |
About Mihai G. Netea
Mihai G. Netea is a scholar working on Immunology, Health and Microbiology, having authored 25 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune responses and vaccinations (18 papers), Vaccine Coverage and Hesitancy (5 papers), Immune cells in cancer (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Reproductive tract infections research (3 papers), COVID-19 Impact on Reproduction (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Immunology (2.3k citations), Health (504 citations) and Infectious Diseases (741 citations). Mihai G. Netea has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Jessica Quintin, J.W.M. van der Meer, Leo A. B. Joosten, Peter Aaby, Liisa K. Selin, Christine Stabell Benn, Joachim L. Schultze, Katarzyna Placek, Andreas Schlitzer and Reinout van Crevel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity and Nature reviews. Immunology.
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.