Simone Krebs

2.7k total citations
49 papers, 1.3k citations indexed

About

Simone Krebs is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Simone Krebs has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 22 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Epidemiology. Recurrent topics in Simone Krebs's work include Medical Imaging Techniques and Applications (11 papers), CAR-T cell therapy research (11 papers) and Radiopharmaceutical Chemistry and Applications (10 papers). Simone Krebs is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), CAR-T cell therapy research (11 papers) and Radiopharmaceutical Chemistry and Applications (10 papers). Simone Krebs collaborates with scholars based in United States, Germany and Italy. Simone Krebs's co-authors include Bilal Omer, Wolfgang Weber, Meenakshi Hegde, Nabil Ahmed, Kevin Chow, Hao Liu, Stephen Gottschalk, Damian Wild, Melpomeni Fani and Felix Kaul and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Simone Krebs

43 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Krebs United States 15 770 371 262 251 236 49 1.3k
Yuhua Li China 24 641 0.8× 86 0.2× 45 0.2× 159 0.6× 55 0.2× 88 1.7k
Lei Xiao China 16 484 0.6× 77 0.2× 133 0.5× 96 0.4× 17 0.1× 65 937
Ravi D. Rao United States 12 559 0.7× 232 0.6× 81 0.3× 54 0.2× 45 0.2× 24 1.2k
Camilla Palumbo Italy 18 216 0.3× 80 0.2× 85 0.3× 54 0.2× 46 0.2× 50 950
Nikolai Siebert Germany 17 362 0.5× 88 0.2× 41 0.2× 37 0.1× 433 1.8× 51 887
Shun He United States 15 653 0.8× 110 0.3× 32 0.1× 66 0.3× 23 0.1× 25 1.5k
Jianming Zheng China 22 517 0.7× 145 0.4× 138 0.5× 124 0.5× 13 0.1× 59 1.7k
Shumei Yan China 22 458 0.6× 84 0.2× 33 0.1× 48 0.2× 41 0.2× 58 1.3k

Countries citing papers authored by Simone Krebs

Since Specialization
Citations

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

Fields of papers citing papers by Simone Krebs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Krebs

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Krebs. A scholar is included among the top collaborators of Simone Krebs 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 Simone Krebs. Simone Krebs 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.
Pasquini, Luca, Maya Srikanth Graham, Kyung K. Peck, et al.. (2024). Tumors Affect the Metabolic Connectivity of the Human Brain Measured by 18F-FDG PET. Clinical Nuclear Medicine. 49(9). 822–829.
3.
Gewirtz, Alexandra N., et al.. (2023). The promise of metabolic imaging in diffuse midline glioma. Neoplasia. 39. 100896–100896. 9 indexed citations
4.
Lafontaine, Daniel, C. Ross Schmidtlein, Assen S. Kirov, et al.. (2022). TriDFusion (3DF) image viewer. EJNMMI Physics. 9(1). 72–72. 2 indexed citations
5.
Carter, Lukas M., et al.. (2022). Dosimetric Variability Across a Library of Computational Tumor Phantoms. Journal of Nuclear Medicine. 64(5). 782–790. 5 indexed citations
6.
Krebs, Simone, Audrey Mauguen, Onur Yıldırım, et al.. (2021). Prognostic value of [18F]FDG PET/CT in patients with CNS lymphoma receiving ibrutinib-based therapies. European Journal of Nuclear Medicine and Molecular Imaging. 48(12). 3940–3950. 12 indexed citations
7.
Krebs, Simone, Christian Grommes, Michael R. McDevitt, et al.. (2021). [89Zr]Zr-huJ591 immuno-PET targeting PSMA in IDH mutant anaplastic oligodendroglioma. European Journal of Nuclear Medicine and Molecular Imaging. 49(2). 783–785. 6 indexed citations
8.
Carter, Lukas M., Chansoo Choi, Simone Krebs, et al.. (2021). Patient Size-Dependent Dosimetry Methodology Applied to 18F-FDG Using New ICRP Mesh Phantoms. Journal of Nuclear Medicine. 62(12). 1805–1814. 6 indexed citations
9.
Graham, Maya Srikanth, Simone Krebs, Tejus Bale, et al.. (2020). Value of [18F]-FDG positron emission tomography in patients with recurrent glioblastoma receiving bevacizumab. Neuro-Oncology Advances. 2(1). vdaa050–vdaa050. 6 indexed citations
10.
Krebs, Simone, Joseph A. O’Donoghue, Bradley J. Beattie, et al.. (2020). Comparison of 68Ga-DOTA-JR11 PET/CT with dosimetric 177Lu-satoreotide tetraxetan (177Lu-DOTA-JR11) SPECT/CT in patients with metastatic neuroendocrine tumors undergoing peptide receptor radionuclide therapy. European Journal of Nuclear Medicine and Molecular Imaging. 47(13). 3047–3057. 22 indexed citations
11.
Reidy‐Lagunes, Diane, Neeta Pandit‐Taskar, Joseph A. O’Donoghue, et al.. (2019). Phase I Trial of Well-Differentiated Neuroendocrine Tumors (NETs) with Radiolabeled Somatostatin Antagonist 177Lu-Satoreotide Tetraxetan. Clinical Cancer Research. 25(23). 6939–6947. 71 indexed citations
12.
Krebs, Simone, Vladimir Ponomarev, Susan F. Slovin, & Heiko Schöder. (2019). Imaging of CAR T-Cells in Cancer Patients: Paving the Way to Treatment Monitoring and Outcome Prediction. Journal of Nuclear Medicine. 60(7). 879–881. 11 indexed citations
13.
Grkovski, Milan, Reema Goel, Simone Krebs, et al.. (2019). Pharmacokinetic Assessment of 18F-(2S,4R)-4-Fluoroglutamine in Patients with Cancer. Journal of Nuclear Medicine. 61(3). 357–366. 25 indexed citations
14.
Eskreis‐Winkler, Sarah, Giuseppe Corrias, Serena Monti, et al.. (2018). IDEAL-IQ in an oncologic population: meeting the challenge of concomitant liver fat and liver iron. Cancer Imaging. 18(1). 51–51. 38 indexed citations
15.
Corrias, Giuseppe, Simone Krebs, Sarah Eskreis‐Winkler, et al.. (2018). MRI liver fat quantification in an oncologic population: the added value of complex chemical shift-encoded MRI. Clinical Imaging. 52. 193–199. 13 indexed citations
16.
Krebs, Simone, et al.. (2017). Solitary Extramedullary Plasmacytoma of the Cricoid Cartilage—Case Report. Frontiers in Oncology. 7. 284–284. 8 indexed citations
17.
Wild, Damian, Melpomeni Fani, Richard Fischer, et al.. (2014). Comparison of Somatostatin Receptor Agonist and Antagonist for Peptide Receptor Radionuclide Therapy: A Pilot Study. Journal of Nuclear Medicine. 55(8). 1248–1252. 196 indexed citations
18.
Krebs, Simone, Tania Rodríguez-Cruz, Christopher DeRenzo, & Stephen Gottschalk. (2013). Genetically Modified T Cells to Target Glioblastoma. Frontiers in Oncology. 3. 322–322. 13 indexed citations
19.
Omer, Bilal, et al.. (2007). Steroid-sparing effect of wormwood (Artemisia absinthium) in Crohn's disease: A double-blind placebo-controlled study. Phytomedicine. 14(2-3). 87–95. 79 indexed citations
20.
Boquoi, E., et al.. (1975). Feulgen-DNA-cytophotometry on mammary tumor cells from aspiration biopsy smears.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 19(4). 326–9. 9 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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