Lena Hoffmann
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
Papers in
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- Artificial Intelligence in Healthcare and Education 5
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- 3D Printing in Biomedical Research 4
- Co-authors
- Julian Quodbach (4 shared papers)Jörg Breitkreutz (4 shared papers)Felix Busch (6 shared papers)Daniel Truhn (4 shared papers)Keno K. Bressem (6 shared papers)Lisa C. Adams (5 shared papers)Marcus R. Makowski (5 shared papers)Martin Hadamitzky (2 shared papers)
- Journals
- Pharmaceutics (2 papers)Radiology Artificial Intelligence (1 paper)European Journal of Pharmaceutical Sciences (1 paper)British Journal of Clinical Pharmacology (1 paper)Therapeutic Innovation & Regulatory Science (1 paper)
- Partner nations
- GermanyNetherlandsItaly
In The Last Decade
Lena Hoffmann
9 papers receiving 244 citations
Lena Hoffmann's Hit Papers
Peers
Comparison fields: 5 of 75
- Health Informatics 99
- Automotive Engineering 65
- Family Practice 7
- Health Information Management 13
- Pharmaceutical Science 17
Countries citing papers authored by Lena Hoffmann
This map shows the geographic impact of Lena Hoffmann'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 Lena Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lena Hoffmann more than expected).
Fields of papers citing papers by Lena Hoffmann
This network shows the impact of papers produced by Lena Hoffmann. 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 Lena Hoffmann. The network helps show where Lena Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Lena Hoffmann, 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 | 2021 | 62 | |
| 2 | Current applications and challenges in large language models for patient care: a systematic review Hit paper breakdown → | 2025 | 58 |
| 3 | 2023 | 34 | |
| 4 | 2024 | 26 | |
| 5 | 2024 | 24 | |
| 6 | 2022 | 22 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2024 | 0 |
About Lena Hoffmann
Lena Hoffmann is a scholar working on Health Informatics, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Automotive Engineering and Pharmaceutical Science, having authored 10 papers that have together received 249 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), 3D Printing in Biomedical Research (4 papers), Drug Solubulity and Delivery Systems (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Data-Driven Disease Surveillance (1 paper), COVID-19 diagnosis using AI (1 paper) and Digital Radiography and Breast Imaging (1 paper). The work is most often cited by research in Health Informatics (99 citations), Automotive Engineering (65 citations), Family Practice (7 citations), Health Information Management (13 citations) and Pharmaceutical Science (17 citations). Lena Hoffmann has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Julian Quodbach, Jörg Breitkreutz, Felix Busch, Daniel Truhn, Keno K. Bressem, Lisa C. Adams, Marcus R. Makowski, Martin Hadamitzky, Renato Cuocolo and Jakob Nikolas Kather. Their work appears in journals such as Pharmaceutics, Radiology Artificial Intelligence, European Journal of Pharmaceutical Sciences, British Journal of Clinical Pharmacology and Therapeutic Innovation & Regulatory Science.
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.