Martin Eberhardt
Impact in
- Rheumatology top 2%
- Rheumatoid Arthritis Research and Therapies
- Osteoarthritis Treatment and Mechanisms
- Immunology top 10%
- Immune cells in cancer
Papers in
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- Immune cells in cancer 2
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- Extracellular vesicles in disease 4
- Bioinformatics and Genomic Networks 3
- Gene Regulatory Network Analysis 2
- vaccines and immunoinformatics approaches 2
- Co-authors
- Julio Vera (20 shared papers)Xin Lai (8 shared papers)Ulf Schmitz (1 shared paper)Bernd Schmeck (4 shared papers)Gerold Schuler (5 shared papers)Katja Blume (4 shared papers)Andreas S. Baur (6 shared papers)Jung‐Hyun Lee (3 shared papers)
In The Last Decade
Martin Eberhardt
28 papers receiving 1.2k citations
Martin Eberhardt's Hit Papers
Peers
Comparison fields: 5 of 97
- Rheumatology 342
- Immunology 219
- Cancer Research 136
- Developmental Neuroscience 18
- Molecular Biology 312
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Locally renewing resident synovial macrophages provide a protective barrier for the joint Hit paper breakdown → | 2019 | 480 |
| 2 | 2021 | 152 | |
| 3 | 2019 | 140 | |
| 4 | 2019 | 73 | |
| 5 | 2021 | 73 | |
| 6 | 2021 | 42 | |
| 7 | 2019 | 38 | |
| 8 | 2019 | 21 | |
| 9 | 2022 | 21 | |
| 10 | 2016 | 19 | |
| 11 | 2018 | 19 | |
| 12 | 2017 | 18 | |
| 13 | 2015 | 17 | |
| 14 | 2016 | 17 | |
| 15 | 2016 | 14 | |
| 16 | 2020 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2018 | 8 |
About Martin Eberhardt
Martin Eberhardt is a scholar working on Immunology, Molecular Biology, Cancer Research, Modeling and Simulation and Hematology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Bioinformatics and Genomic Networks (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Multiple Myeloma Research and Treatments (2 papers), Immune cells in cancer (2 papers), MicroRNA in disease regulation (2 papers), Gene Regulatory Network Analysis (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Rheumatology (342 citations), Immunology (219 citations), Cancer Research (136 citations), Developmental Neuroscience (18 citations) and Molecular Biology (312 citations). Martin Eberhardt has collaborated with scholars based in Germany, Spain and Bulgaria. Frequent co-authors include Julio Vera, Xin Lai, Ulf Schmitz, Bernd Schmeck, Gerold Schuler, Katja Blume, Andreas S. Baur, Jung‐Hyun Lee, Arif Bülent Ekici and Shailendra K. Gupta. Their work appears in journals such as The Journal of Infectious Diseases, EBioMedicine, Immunity, Life Science Alliance and Journal of Clinical Investigation.
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.