Martin Eberhardt
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Immune cells in cancer
Papers in
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- vaccines and immunoinformatics approaches 3
- RNA Interference and Gene Delivery 2
- Extracellular vesicles in disease 2
- Melanoma and MAPK Pathways 2
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- Immune cells in cancer 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Julio Vera (19 shared papers)Xin Lai (8 shared papers)Ulf Schmitz (1 shared paper)Gerold Schuler (5 shared papers)Bernd Schmeck (4 shared papers)Andreas S. Baur (5 shared papers)Florian S. Dreyer (4 shared papers)Katja Blume (4 shared papers)
- Journals
- The Journal of Infectious Diseases (2 papers)EBioMedicine (2 papers)Frontiers in Cellular and Infection Microbiology (1 paper)Nucleic Acids Research (1 paper)Cancer Research (1 paper)
- Partner nations
- GermanyUnited StatesBulgaria
In The Last Decade
Martin Eberhardt
22 papers receiving 418 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 151
- Immunology 84
- Molecular Biology 261
- Developmental Neuroscience 10
- Modeling and Simulation 9
Countries citing papers authored by Martin Eberhardt
This map shows the geographic impact of Martin Eberhardt'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 Martin Eberhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Eberhardt more than expected).
Fields of papers citing papers by Martin Eberhardt
This network shows the impact of papers produced by Martin Eberhardt. 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 Martin Eberhardt. The network helps show where Martin Eberhardt may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Eberhardt, 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 | 2019 | 132 | |
| 2 | 2019 | 62 | |
| 3 | 2019 | 33 | |
| 4 | 2019 | 21 | |
| 5 | 2022 | 18 | |
| 6 | 2016 | 17 | |
| 7 | 2016 | 16 | |
| 8 | 2018 | 16 | |
| 9 | 2017 | 16 | |
| 10 | 2015 | 15 | |
| 11 | 2021 | 12 | |
| 12 | 2016 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2018 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2019 | 3 | |
| 20 | 2013 | 2 |
About Martin Eberhardt
Martin Eberhardt is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 421 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (3 papers), Pneumonia and Respiratory Infections (2 papers), RNA Interference and Gene Delivery (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune cells in cancer (2 papers), Extracellular vesicles in disease (2 papers), Immunotherapy and Immune Responses (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Cancer Research (151 citations), Immunology (84 citations), Molecular Biology (261 citations), Developmental Neuroscience (10 citations) and Modeling and Simulation (9 citations). Martin Eberhardt has collaborated with scholars based in Germany, United States and Bulgaria. Frequent co-authors include Julio Vera, Xin Lai, Ulf Schmitz, Gerold Schuler, Bernd Schmeck, Andreas S. Baur, Florian S. Dreyer, Katja Blume, Wilhelm Bertrams and Jung‐Hyun Lee. Their work appears in journals such as The Journal of Infectious Diseases, EBioMedicine, Frontiers in Cellular and Infection Microbiology, Nucleic Acids Research and Cancer Research.
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.