Lars J. Grimm
Impact in
- Health Informatics top 1%
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Radiology practices and education
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 44
- Radiology practices and education 37
- Co-authors
- Maciej A. MazurowskiSora C. YoonSujata V. GhateMary Scott SooJay A. BakerAshirbani SahaJames C. CampbellKaren S. Johnson
- Journals
- Journal of the American College of Radiology (34 papers)Academic Radiology (24 papers)American Journal of Roentgenology (9 papers)Radiology (7 papers)Journal of Magnetic Resonance Imaging (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lars J. Grimm
153 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Health Informatics 106
- Radiology, Nuclear Medicine and Imaging 1.7k
- Gender Studies 462
- Cancer Research 610
- Oncology 784
Countries citing papers authored by Lars J. Grimm
This map shows the geographic impact of Lars J. Grimm'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 Lars J. Grimm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars J. Grimm more than expected).
Fields of papers citing papers by Lars J. Grimm
This network shows the impact of papers produced by Lars J. Grimm. 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 Lars J. Grimm. The network helps show where Lars J. Grimm may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars J. Grimm, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 25 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 0 | |
| 19 | 2021 | 51 | |
| 20 | 2020 | 11 |
About Lars J. Grimm
Lars J. Grimm is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Gender Studies, Cancer Research and Pathology and Forensic Medicine, having authored 178 papers that have together received 3.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (44 papers), AI in cancer detection (40 papers), Radiology practices and education (37 papers), Global Cancer Incidence and Screening (34 papers), Breast Cancer Treatment Studies (34 papers), Diversity and Career in Medicine (32 papers), Breast Lesions and Carcinomas (31 papers) and Digital Radiography and Breast Imaging (23 papers). The work is most often cited by research in Health Informatics (106 citations), Radiology, Nuclear Medicine and Imaging (1.7k citations), Gender Studies (462 citations), Cancer Research (610 citations) and Oncology (784 citations). Lars J. Grimm has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Maciej A. Mazurowski, Sora C. Yoon, Sujata V. Ghate, Mary Scott Soo, Jay A. Baker, Ashirbani Saha, James C. Campbell, Karen S. Johnson, Ruth Walsh and Charles M. Maxfield. Their work appears in journals such as Journal of the American College of Radiology, Academic Radiology, American Journal of Roentgenology, Radiology and Journal of Magnetic Resonance Imaging.
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.