Lale Umutlu

8.2k total citations
273 papers, 5.2k citations indexed

About

Lale Umutlu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Lale Umutlu has authored 273 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Radiology, Nuclear Medicine and Imaging, 77 papers in Pulmonary and Respiratory Medicine and 49 papers in Oncology. Recurrent topics in Lale Umutlu's work include Radiomics and Machine Learning in Medical Imaging (107 papers), Medical Imaging Techniques and Applications (101 papers) and MRI in cancer diagnosis (54 papers). Lale Umutlu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (107 papers), Medical Imaging Techniques and Applications (101 papers) and MRI in cancer diagnosis (54 papers). Lale Umutlu collaborates with scholars based in Germany, United States and Israel. Lale Umutlu's co-authors include Michael Forsting, Johannes Grueneisen, Ken Herrmann, Benedikt M. Schaarschmidt, Gerald Antoch, Verena Ruhlmann, Thomas C. Lauenstein, Philipp Heusch, Harald H. Quick and Julian Kirchner and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lale Umutlu

264 papers receiving 5.2k citations

Peers

Countries citing papers authored by Lale Umutlu

Since Specialization

Citations

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

Fields of papers citing papers by Lale Umutlu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lale Umutlu. 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 Lale Umutlu. The network helps show where Lale Umutlu may publish in the future.

Co-authorship network of co-authors of Lale Umutlu

This figure shows the co-authorship network connecting the top 25 collaborators of Lale Umutlu. A scholar is included among the top collaborators of Lale Umutlu 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 Lale Umutlu. Lale Umutlu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Automated Field of View Prescription for Whole-body Magnetic Resonance Imaging Using Deep Learning Based Body Region Segmentations 2025 ·Investigative Radiology ·(unknown), (unknown), Kai Naßenstein, (unknown), (unknown), (unknown), Lale Umutlu, Michael Forsting, Johannes Haubold, (unknown), (unknown), (unknown), Felix Nensa, René Hosch	0
2	Moving Beyond CT Body Composition Analysis 2025 ·Investigative Radiology ·Johannes Haubold, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Benedikt M. Schaarschmidt, (unknown), (unknown), (unknown), Marcel Opitz, Lale Umutlu, Michael Forsting, Christoph M. Friedrich, Felix Nensa, René Hosch	1
3	Prognostic value of [18F]FDG- and PSMA-PET in patients evaluated for [177Lu]Lu-PSMA therapy of mCRPC 2025 ·European Journal of Nuclear Medicine and Molecular Imaging ·(unknown), (unknown), (unknown), Kim M. Pabst, Viktor Grünwald, Kuangyu Shi, (unknown), (unknown), Lale Umutlu, Ken Herrmann, Robert Seifert, Wolfgang P. Fendler	1
4	Staging of prostate Cancer with ultra-fast PSMA-PET scans enhanced by AI 2025 ·European Journal of Nuclear Medicine and Molecular Imaging ·David Kersting, (unknown), (unknown), Moon Kim, Johannes Haubold, (unknown), Lale Umutlu, Pedro Fragoso Costa, Jens Kleesiek, Christoph Rischpler, Felix Nensa, Ken Herrmann, Wolfgang P. Fendler, (unknown), René Hosch, Robert Seifert	2
5	Low-dose high-resolution chest CT in adults with cystic fibrosis: intraindividual comparison between photon-counting and energy-integrating detector CT 2024 ·European Radiology Experimental ·M. Frings, Matthias Welsner, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Christian Taube, Lale Umutlu, Benedikt M. Schaarschmidt, (unknown), Johannes Haubold, Sivagurunathan Sutharsan, Marcel Opitz	2
6	Cardiac magnetic resonance imaging in patients with suspected myocarditis from immune checkpoint inhibitor therapy – A real-world observational study 2024 ·IJC Heart & Vasculature ·(unknown), Raluca Mincu, (unknown), Julia Vogel, Karin Klingel, (unknown), Thomas Schlosser, Johannes Haubold, Lale Umutlu, Dobromir Dobrev, Matthias Totzeck, Tienush Rassaf, Lars Michel	1
7	AI-Assisted X-ray Fracture Detection in Residency Training: Evaluation in Pediatric and Adult Trauma Patients 2024 ·Diagnostics ·(unknown), (unknown), (unknown), (unknown), (unknown), Benedikt M. Schaarschmidt, Michael Forsting, (unknown), Lale Umutlu, René Hosch, Felix Nensa, Johannes Haubold	13
8	Fully automated MR-based virtual biopsy of primary CNS lymphomas 2024 ·Neuro-Oncology Advances ·(unknown), Johannes Haubold, (unknown), (unknown), Karsten H. Wrede, Martin Glas, Maja Guberina, Tobias Blau, (unknown), (unknown), René Hosch, Felix Nensa, Michael Forsting, Cornelius Deuschl, Lale Umutlu	1
9	Bicenter validation of a risk model for the preoperative prediction of extraprostatic extension of localized prostate cancer combining clinical and multiparametric MRI parameters 2024 ·World Journal of Urology ·(unknown), (unknown), Manuel Wiesenfarth, Peter Albers, Gerald Antoch, Joachim Noldus, Henning Reis, (unknown), (unknown), Lale Umutlu, Marc Ingenwerth, Jan Philipp Radtke, Boris Hadaschik, Lars Schimmöller, Claudia Kesch	2
10	What Role Does PET/MRI Play in Musculoskeletal Disorders? 2023 ·Seminars in Nuclear Medicine ·(unknown), (unknown), Thomas Pyka, Federico Caobelli, (unknown), Lale Umutlu, Wolfgang P. Fendler, Axel Rominger, Ken Herrmann, Robert Seifert	4
11	Conventional Imaging, MRI and 18F-FDG PET/MRI for N and M Staging in Patients with Newly Diagnosed Breast Cancer 2023 ·Cancers ·Janna Morawitz, Nils Martin Bruckmann, (unknown), Frederic Dietzel, Aleksandar Milošević, Ann‐Kathrin Bittner, Oliver Hoffmann, Svjetlana Mohrmann, Eugen Ruckhäberle, (unknown), Wolfgang P. Fendler, Ken Herrmann, Frederik L. Giesel, Gerald Antoch, Lale Umutlu, Bernd Kowall, Andreas Stang, Julian Kirchner	3
12	Safety and Efficacy of 90Y-FAPI-46 Radioligand Therapy in Patients with Advanced Sarcoma and Other Cancer Entities 2022 ·Clinical Cancer Research ·Wolfgang P. Fendler, Kim M. Pabst, Lukas Kessler, Pedro Fragoso Costa, Justin Ferdinandus, Manuel Weber, (unknown), Katharina Lueckerath, Lale Umutlu, (unknown), (unknown), Martin Schüler, Marit Ahrens, Christoph Rischpler, Sebastian Bauer, Ken Herrmann, Jens T. Siveke, Rainer Hamacher	91
13	Multiparametric 18F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer 2022 ·Cancers ·Lale Umutlu, Julian Kirchner, Nils Martin Bruckmann, Janna Morawitz, Gerald Antoch, Saskia Ting, Ann‐Kathrin Bittner, Oliver Hoffmann, (unknown), Eugen Ruckhäberle, Onofrio A. Catalano, (unknown), Johannes Grueneisen, Harald H. Quick, Wolfgang P. Fendler, Christoph Rischpler, Ken Herrmann, Peter Gibbs, Katja Pinker	31
14	Comparison of nodal staging between CT, MRI, and [18F]-FDG PET/MRI in patients with newly diagnosed breast cancer 2021 ·European Journal of Nuclear Medicine and Molecular Imaging ·Janna Morawitz, Nils Martin Bruckmann, Frederic Dietzel, T. Ullrich, Ann‐Kathrin Bittner, Oliver Hoffmann, Eugen Ruckhäberle, Svjetlana Mohrmann, (unknown), Marc Ingenwerth, Daniel B. Abrar, Lino M. Sawicki, (unknown), Wolfgang P. Fendler, Ken Herrmann, Christian Buchbender, Gerald Antoch, Lale Umutlu, Julian Kirchner	39
15	Predictive impact of the inflammation-based indices in uveal melanoma liver metastases treated with transarterial hepatic chemoperfusion 2021 ·Radiology and Oncology ·Johannes Ludwig, Johannes Haubold, Sebastian Bauer, Heike Richly, Jens T. Siveke, Julia Wimmer, Lale Umutlu, Benedikt M. Schaarschmidt, Jens Theysohn	9
16	18F-FDG PET/MR versus MR Alone in Whole-Body Primary Staging and Restaging of Patients with Rectal Cancer: What Is the Benefit of PET? 2020 ·Journal of Clinical Medicine ·Yan Li, (unknown), (unknown), Stefanie Bertram, Benedikt M. Schaarschmidt, Aydın Demircioğlu, Johannes Ludwig, Julian Kirchner, Christoph Rischpler, Ken Herrmann, Onofrio A. Catalano, Lale Umutlu	12
17	Therapy Response Assessment of Pediatric Tumors with Whole-Body Diffusion-weighted MRI and FDG PET/MRI 2020 ·Radiology ·Ashok J. Theruvath, Florian Siedek, Anne M. Muehe, (unknown), Julian Kirchner, Ole Martin, Michael P. Link, Sheri L. Spunt, Allison Pribnow, Jarrett Rosenberg, Ken Herrmann, Sergios Gatidis, Jürgen Schäfer, Michael E. Moseley, Lale Umutlu, Heike E. Daldrup‐Link	24
18	Towards fast whole-body PET/MR: Investigation of PET image quality versus reduced PET acquisition times 2018 ·PLoS ONE ·(unknown), (unknown), (unknown), Julian Kirchner, Lale Umutlu, Harald H. Quick	13
19	Hybrid 11C-MET PET/MRI Combined With “Machine Learning” in Glioma Diagnosis According to the Revised Glioma WHO Classification 2016 2018 ·Clinical Nuclear Medicine ·Sied Kebir, Manuel Weber, Lazaros Lazaridis, Cornelius Deuschl, (unknown), Christoph Mönninghoff, Kathy Keyvani, Lale Umutlu, Daniela Pierscianek, Michael Forsting, Ulrich Sure, Martin Stuschke, Christoph Kleinschnitz, Björn Scheffler, Patrick M. Colletti, Domenico Rubello, Christoph Rischpler, Martin Glas	32
20	1.5 versus 3 versus 7 Tesla in abdominal MRI: A comparative study 2017 ·PLoS ONE ·(unknown), Karsten Beiderwellen, Oliver Kraff, Stefan Maderwald, Karsten H. Wrede, Mark E. Ladd, Thomas C. Lauenstein, Michael Forsting, Harald H. Quick, Kai Naßenstein, Lale Umutlu	30

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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