Peter Eckmann
Impact in
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- Academic Publishing and Open Access
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- scientometrics and bibliometrics research
Papers in
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- Advanced Biosensing Techniques and Applications 2
- RNA and protein synthesis mechanisms 2
- Protein Structure and Dynamics 1
- Protein purification and stability 1
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- Academic Publishing and Open Access 3
- Co-authors
- Anita Bandrowski (7 shared papers)Jeffrey S. Grethe (2 shared papers)Rose Yu (1 shared paper)Wolfgang Reintsch (2 shared papers)Riham Ayoubi (2 shared papers)Martijn Roelandse (1 shared paper)Thomas M. Durcan (2 shared papers)Michael Biddle (2 shared papers)
- Journals
- eLife (2 papers)PLoS ONE (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Journal of Medical Internet Research (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Peter Eckmann
6 papers receiving 73 citations
Peers
Comparison fields: 5 of 45
- Information Systems and Management 14
- Statistics, Probability and Uncertainty 11
- Health Informatics 2
- Radiology, Nuclear Medicine and Imaging 20
- Safety Research 4
Countries citing papers authored by Peter Eckmann
This map shows the geographic impact of Peter Eckmann'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 Peter Eckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Eckmann more than expected).
Fields of papers citing papers by Peter Eckmann
This network shows the impact of papers produced by Peter Eckmann. 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 Peter Eckmann. The network helps show where Peter Eckmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Eckmann, 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 | 2023 | 18 | |
| 2 | 2023 | 17 | |
| 3 | 2023 | 16 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 9 | |
| 6 | 2024 | 7 | |
| 7 | Automated screening of COVID-19 preprints: Can we help authors to improve transparency and reproducibility? | 2020 | 0 |
| 8 | 2022 | 0 | |
| 9 | 2026 | 0 | |
| 10 | 2025 | 0 |
About Peter Eckmann
Peter Eckmann is a scholar working on Molecular Biology, Information Systems and Management, Radiology, Nuclear Medicine and Imaging, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 10 papers that have together received 79 indexed citations. Recurring topics across this work include Academic Publishing and Open Access (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced Biosensing Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (2 papers), Protein Structure and Dynamics (1 paper), Academic integrity and plagiarism (1 paper), Protein purification and stability (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Information Systems and Management (14 citations), Statistics, Probability and Uncertainty (11 citations), Health Informatics (2 citations), Radiology, Nuclear Medicine and Imaging (20 citations) and Safety Research (4 citations). Peter Eckmann has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Anita Bandrowski, Jeffrey S. Grethe, Rose Yu, Wolfgang Reintsch, Riham Ayoubi, Martijn Roelandse, Thomas M. Durcan, Michael Biddle, Maryam Fotouhi and Carl Laflamme. Their work appears in journals such as eLife, PLoS ONE, Antimicrobial Agents and Chemotherapy, Journal of Medical Internet Research and Nucleic Acids 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.