Marc Herb
Impact in
- Immunology top 10%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Phagocytosis and Immune Regulation
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Immunology 12
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 6
- Phagocytosis and Immune Regulation 4
- Co-authors
- Michael Schramm (12 shared papers)Alexander Gluschko (9 shared papers)Martin Krönke (8 shared papers)Anne Wolf (3 shared papers)Olaf Utermöhlen (4 shared papers)Katja Wiegmann (3 shared papers)Thomas Langmann (2 shared papers)Oleg Krut (3 shared papers)
In The Last Decade
Marc Herb
23 papers receiving 1.1k citations
Marc Herb's Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 304
- Neurology 92
- Endocrinology 55
- Physiology 41
- Ophthalmology 65
Countries citing papers authored by Marc Herb
This map shows the geographic impact of Marc Herb'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 Marc Herb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Herb more than expected).
Fields of papers citing papers by Marc Herb
This network shows the impact of papers produced by Marc Herb. 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 Marc Herb. The network helps show where Marc Herb may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Herb, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Functions of ROS in Macrophages and Antimicrobial Immunity Hit paper breakdown → | 2021 | 442 |
| 2 | 2019 | 88 | |
| 3 | 2018 | 87 | |
| 4 | 2019 | 70 | |
| 5 | 2013 | 60 | |
| 6 | 2020 | 59 | |
| 7 | 2021 | 59 | |
| 8 | 2019 | 44 | |
| 9 | 2019 | 44 | |
| 10 | 2022 | 34 | |
| 11 | 2021 | 30 | |
| 12 | 2024 | 16 | |
| 13 | 2024 | 15 | |
| 14 | 2024 | 14 | |
| 15 | 2019 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2024 | 8 | |
| 18 | 2019 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2022 | 5 |
About Marc Herb
Marc Herb is a scholar working on Immunology, Molecular Biology, Ophthalmology, Epidemiology and Neurology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Phagocytosis and Immune Regulation (4 papers), Retinal Diseases and Treatments (4 papers), Autophagy in Disease and Therapy (4 papers), Glaucoma and retinal disorders (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Vibrio bacteria research studies (3 papers) and Silk-based biomaterials and applications (3 papers). The work is most often cited by research in Immunology (304 citations), Neurology (92 citations), Endocrinology (55 citations), Physiology (41 citations) and Ophthalmology (65 citations). Marc Herb has collaborated with scholars based in Germany, Iran and Canada. Frequent co-authors include Michael Schramm, Alexander Gluschko, Martin Krönke, Anne Wolf, Olaf Utermöhlen, Katja Wiegmann, Thomas Langmann, Oleg Krut, Wolfram F. Neiss and Daniela Grumme. Their work appears in journals such as Nature Communications, Journal of Neuroinflammation, Journal of Visualized Experiments, Frontiers in Cellular and Infection Microbiology and Antioxidants.
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.