A.M. Lutz

9.3k total citations
81 papers, 2.8k citations indexed

About

A.M. Lutz is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, A.M. Lutz has authored 81 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biomedical Engineering, 32 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Surgery. Recurrent topics in A.M. Lutz's work include Ultrasound and Hyperthermia Applications (24 papers), Photoacoustic and Ultrasonic Imaging (14 papers) and Peripheral Nerve Disorders (13 papers). A.M. Lutz is often cited by papers focused on Ultrasound and Hyperthermia Applications (24 papers), Photoacoustic and Ultrasonic Imaging (14 papers) and Peripheral Nerve Disorders (13 papers). A.M. Lutz collaborates with scholars based in United States, Switzerland and Germany. A.M. Lutz's co-authors include Jürgen K. Willmann, Sanjiv S. Gambhir, Ramasamy Paulmurugan, Dominik Weishaupt, Lü Tian, Borut Marinček, Lotfi Abou‐Elkacem, Jeremy Dahl, Sayan Mullick Chowdhury and Taehwa Lee and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Cancer Research.

In The Last Decade

A.M. Lutz

75 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A.M. Lutz United States 31 1.4k 960 541 511 302 81 2.8k
Le‐Hang Guo China 30 1.2k 0.8× 978 1.0× 334 0.6× 726 1.4× 406 1.3× 128 3.0k
Hui Zhu China 29 1.8k 1.2× 887 0.9× 486 0.9× 463 0.9× 287 1.0× 86 3.2k
Jason M. Warram United States 32 1.8k 1.2× 692 0.7× 611 1.1× 413 0.8× 767 2.5× 91 3.2k
Niels J. Harlaar Netherlands 12 1.2k 0.8× 458 0.5× 381 0.7× 562 1.1× 567 1.9× 23 2.4k
Rick G. Pleijhuis Netherlands 15 1.1k 0.8× 591 0.6× 435 0.8× 406 0.8× 541 1.8× 30 2.5k
Sylvain Gioux United States 29 2.6k 1.8× 1.5k 1.6× 321 0.6× 848 1.7× 882 2.9× 95 4.2k
Josef Ehling Germany 24 1.2k 0.8× 386 0.4× 631 1.2× 204 0.4× 281 0.9× 37 2.7k
Wendy Kelder Netherlands 15 902 0.6× 304 0.3× 393 0.7× 387 0.8× 471 1.6× 31 2.2k
Moritz Palmowski Germany 23 1.0k 0.7× 914 1.0× 323 0.6× 98 0.2× 237 0.8× 62 1.8k
Stijn Keereweer Netherlands 23 753 0.5× 296 0.3× 284 0.5× 492 1.0× 499 1.7× 67 1.7k

Countries citing papers authored by A.M. Lutz

Since Specialization
Citations

This map shows the geographic impact of A.M. Lutz'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 A.M. Lutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.M. Lutz more than expected).

Fields of papers citing papers by A.M. Lutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.M. Lutz. 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 A.M. Lutz. The network helps show where A.M. Lutz may publish in the future.

Co-authorship network of co-authors of A.M. Lutz

This figure shows the co-authorship network connecting the top 25 collaborators of A.M. Lutz. A scholar is included among the top collaborators of A.M. Lutz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A.M. Lutz. A.M. Lutz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Tabesh, Farbod, et al.. (2025). Molecular Ultrasound Imaging of PD-L1 Expression on Cancer Endothelial Cells. Ultrasound in Medicine & Biology. 51(10). 1675–1681.
3.
Wang, Huaijun, Ahmed El Kaffas, Terry S. Desser, et al.. (2023). In Vivo Ultrasound Molecular Imaging in the Evaluation of Complex Ovarian Masses: A Practical Guide to Correlation with Ex Vivo Immunohistochemistry. Advanced Biology. 7(8). e2300091–e2300091. 1 indexed citations
4.
Gorbachova, Tetyana, Russell C. Fritz, A.M. Lutz, et al.. (2023). Patellar Tracking: An Old Problem with New Insights. Radiographics. 43(6). e220177–e220177. 13 indexed citations
5.
Shen, Luyao, et al.. (2022). Interobserver agreement between eight observers using IOTA simple rules and O-RADS lexicon descriptors for adnexal masses. Abdominal Radiology. 47(9). 3318–3326. 7 indexed citations
6.
Bam, Rakesh, Lawrence A. Stern, Katheryne E. Wilson, et al.. (2020). Efficacy of Affibody-Based Ultrasound Molecular Imaging of Vascular B7-H3 for Breast Cancer Detection. Clinical Cancer Research. 26(9). 2140–2150. 31 indexed citations
7.
Stevens, Kathryn J., et al.. (2020). The Stieda fracture revisited. Skeletal Radiology. 50(5). 945–953. 2 indexed citations
8.
Hori, Sharon S., A.M. Lutz, Ramasamy Paulmurugan, & Sanjiv S. Gambhir. (2017). A Model-Based Personalized Cancer Screening Strategy for Detecting Early-Stage Tumors Using Blood-Borne Biomarkers. Cancer Research. 77(10). 2570–2584. 26 indexed citations
9.
Willmann, Jürgen K., Lorenzo Bonomo, A. C. Testa, et al.. (2017). Ultrasound Molecular Imaging With BR55 in Patients With Breast and Ovarian Lesions: First-in-Human Results. Journal of Clinical Oncology. 35(19). 2133–2140. 173 indexed citations
10.
Wang, Huaijun, Stephen A. Felt, Valentina Taviani, et al.. (2017). Anatomical Road Mapping Using CT and MR Enterography for Ultrasound Molecular Imaging of Small Bowel Inflammation in Swine. European Radiology. 28(5). 2068–2076. 1 indexed citations
11.
Bachawal, Sunitha V., Kristin C. Jensen, Katheryne E. Wilson, et al.. (2015). Breast Cancer Detection by B7-H3–Targeted Ultrasound Molecular Imaging. Cancer Research. 75(12). 2501–2509. 97 indexed citations
12.
Lutz, A.M., Sunitha V. Bachawal, Charles W. Drescher, et al.. (2014). Ultrasound Molecular Imaging in a Human CD276 Expression–Modulated Murine Ovarian Cancer Model. Clinical Cancer Research. 20(5). 1313–1322. 39 indexed citations
13.
Sampath, Srinath C., Srihari C. Sampath, Camila Mosci, et al.. (2014). Detection of Osseous Metastasis by 18F-NaF/18F-FDG PET/CT Versus CT Alone. Clinical Nuclear Medicine. 40(3). e173–e177. 21 indexed citations
14.
Bachawal, Sunitha V., Kristin C. Jensen, A.M. Lutz, et al.. (2013). Earlier Detection of Breast Cancer with Ultrasound Molecular Imaging in a Transgenic Mouse Model. Cancer Research. 73(6). 1689–1698. 80 indexed citations
15.
Lutz, A.M., Garry E. Gold, & Christopher F. Beaulieu. (2013). MR Imaging of the Brachial Plexus. Neuroimaging Clinics of North America. 24(1). 91–108. 32 indexed citations
16.
Deshpande, Nirupama, A.M. Lutz, Ying Ren, et al.. (2011). Quantification and Monitoring of Inflammation in Murine Inflammatory Bowel Disease with Targeted Contrast-enhanced US. Radiology. 262(1). 172–180. 64 indexed citations
17.
18.
Wyss, Matthias T., Bruno Weber, Stephan Scheidegger, et al.. (2004). Uptake of 18F-fluorocholine, 18F-fluoroethyl-L-tyrosine, and 18F-FDG in acute cerebral radiation injury in the rat: implications for separation of radiation necrosis from tumor recurrence.. PubMed. 45(11). 1931–8. 90 indexed citations
19.
Willmann, Jürgen K., Peter Bauerfeind, Thomas Boehm, et al.. (2003). Kontrastmittelverstärkte MR-Angiographie zur Differenzierung zwischen perigastrischen und submukösen Fundusvarizen des Magens. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 175(4). 507–514. 3 indexed citations
20.
Lutz, A.M., Mirjana Stojković, Marjanka K. Schmidt, et al.. (2000). Adrenocortical function in patients with macrometastases of the adrenal gland. European Journal of Endocrinology. 143(1). 91–97. 29 indexed citations

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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