Lena Hoffmann

895 citations
11 papers · 429 · 1 hit paper · h-index 8

Impact in

Papers in

Lena Hoffmann

11 papers receiving 417 citations

Lena Hoffmann's Hit Papers

Current applications and challenges in large language models for patient care: a systematic review 2025 · 122 citations
1220Years since publication4080120

Peers

Lena Hoffmann
Comparison fields: 5 of 90
  • Health Informatics 142
  • Automotive Engineering 70
  • Pharmaceutical Science 17
  • Biomedical Engineering 108
  • Radiology, Nuclear Medicine and Imaging 46
Replace Julian Schirmer with:
Julian Schirmer Germany
Gabriel Escalona Chile
Rashad Alfkey Qatar
Yanjun Chen China
Nikhil Suresh Patil Canada
Yo‐Wei Chen United States
René Daher Switzerland
Jiheum Park United States
Eha Renwi Astuti Indonesia
Walaa Magdy Ahmed Saudi Arabia
Lena Hoffmann relative to Julian Schirmer Germany Julian Schirmer's profile →
Citations per field
00.5×2×3×3.7×
Julian Schirmer · 1×
Citations per year

Countries citing papers authored by Lena Hoffmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lena Hoffmann Line = papers co-authored together Lena Hoffmann links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Current applications and challenges in large language models for patient care: a systematic review
Hit paper breakdown →
2025122
2 202172
3 202459
4 202349
5 202443
6 202228
7 202526
8 202317
9 20227
10 20234
11 20242

About Lena Hoffmann

Lena Hoffmann is a scholar working on Health Informatics, Pharmaceutical Science, Radiology, Nuclear Medicine and Imaging, Automotive Engineering and Biomedical Engineering, having authored 11 papers that have together received 429 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 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), Clinical Reasoning and Diagnostic Skills (1 paper), COVID-19 epidemiological studies (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Health Informatics (142 citations), Automotive Engineering (70 citations), Pharmaceutical Science (17 citations), Biomedical Engineering (108 citations) and Radiology, Nuclear Medicine and Imaging (46 citations). Lena Hoffmann has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Julian Quodbach, Jörg Breitkreutz, Marcus Richard Makowski, Daniel Truhn, Keno K. Bressem, Felix Busch, Lisa C. Adams, Martin Hadamitzky, Renato Cuocolo and Luca Saba. Their work appears in journals such as Pharmaceutics, British Journal of Clinical Pharmacology, European Radiology, Therapeutic Innovation & Regulatory Science and JAMA Network Open.

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.

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