Samuel Samnick

4.8k total citations
131 papers, 3.5k citations indexed

About

Samuel Samnick is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Genetics. According to data from OpenAlex, Samuel Samnick has authored 131 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Radiology, Nuclear Medicine and Imaging, 32 papers in Oncology and 30 papers in Genetics. Recurrent topics in Samuel Samnick's work include Medical Imaging Techniques and Applications (41 papers), Radiopharmaceutical Chemistry and Applications (40 papers) and Glioma Diagnosis and Treatment (24 papers). Samuel Samnick is often cited by papers focused on Medical Imaging Techniques and Applications (41 papers), Radiopharmaceutical Chemistry and Applications (40 papers) and Glioma Diagnosis and Treatment (24 papers). Samuel Samnick collaborates with scholars based in Germany, United States and Switzerland. Samuel Samnick's co-authors include Andreas K. Buck, Constantin Lapa, Ken Herrmann, Carl‐Martin Kirsch, Ina Israel, Katharina Lückerath, D. Hellwig, Andreas Schirbel, Ulrich Dillmann and Jörg Spiegel and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Brain.

In The Last Decade

Samuel Samnick

130 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Samnick Germany 34 1.4k 974 684 597 565 131 3.5k
Andreas Schirbel Germany 35 885 0.7× 1.4k 1.5× 320 0.5× 432 0.7× 625 1.1× 106 3.1k
Duanzhi Wen United States 22 765 0.6× 1.7k 1.7× 346 0.5× 2.2k 3.8× 474 0.8× 27 4.4k
Rudolf A. Werner Germany 35 1.9k 1.4× 1.4k 1.4× 406 0.6× 531 0.9× 1.4k 2.5× 247 4.1k
Jordi Bruna Spain 40 298 0.2× 2.4k 2.5× 1.1k 1.6× 752 1.3× 1.2k 2.2× 151 4.8k
Samuel Valable France 30 602 0.4× 349 0.4× 237 0.3× 982 1.6× 313 0.6× 105 2.9k
Benno Küsters Netherlands 35 248 0.2× 477 0.5× 806 1.2× 1.7k 2.8× 543 1.0× 125 3.9k
Bianca Pollo Italy 42 511 0.4× 1.3k 1.3× 552 0.8× 1.9k 3.2× 685 1.2× 167 5.4k
Joon H. Uhm United States 37 425 0.3× 907 0.9× 527 0.8× 1.7k 2.8× 764 1.4× 127 4.4k
Yukihiko Sonoda Japan 32 492 0.4× 596 0.6× 592 0.9× 1.6k 2.7× 552 1.0× 224 4.6k
James R. Bading United States 33 2.3k 1.7× 1.8k 1.9× 285 0.4× 1.4k 2.4× 665 1.2× 66 5.7k

Countries citing papers authored by Samuel Samnick

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Samnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Samnick

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Samnick. A scholar is included among the top collaborators of Samuel Samnick 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 Samuel Samnick. Samuel Samnick 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.
Kraus, Sabrina, Leo Rasche, Takahiro Higuchi, et al.. (2025). Myeloablative Radioligand Therapy Targeting C-X-C Motif Chemokine Receptor 4 in Advanced Multiple Myeloma. Clinical Nuclear Medicine. 50(6). 495–500.
2.
Kosmala, Aleksander, Toru Higuchi, Philipp E. Hartrampf, et al.. (2023). CXCR4-gerichtete PET/CT in 100 Patient:innen mit Marginalzonenlymphom -Diagnostische Performance, Vorhersagepotenzial und Eignung für CXCR4-Endoradiotherapie. Nuklearmedizin - NuclearMedicine. 62(2). 95–95. 1 indexed citations
3.
4.
Israel, Ina, et al.. (2023). Analysis of cerebral glucose metabolism following experimental subarachnoid hemorrhage over 7 days. Scientific Reports. 13(1). 427–427. 3 indexed citations
5.
Kircher, Malte, Alexander Dierks, Christian H. Pfob, et al.. (2022). Molecular Imaging in Multiple Myeloma—Novel PET Radiotracers Improve Patient Management and Guide Therapy. PubMed. 2. 801792–801792. 5 indexed citations
6.
Buck, Andreas K., Alexander Haug, Alessandro Lambertini, et al.. (2022). Imaging of C-X-C Motif Chemokine Receptor 4 Expression in 690 Patients with Solid or Hematologic Neoplasms using 68Ga-PentixaFor PET. Journal of Nuclear Medicine. 63(11). jnumed.121.263693–jnumed.121.263693. 55 indexed citations
7.
Duell, Johannes, Andreas Schirbel, Samuel Samnick, et al.. (2021). Improved Primary Staging of Marginal-Zone Lymphoma by Addition of CXCR4-Directed PET/CT. Journal of Nuclear Medicine. 62(10). 1415–1421. 43 indexed citations
8.
Krämer, Stefanie D., Michael K. Schuhmann, Ina Israel, et al.. (2021). Changes of cerebral network activity after invasive stimulation of the mesencephalic locomotor region in a rat stroke model. Experimental Neurology. 347. 113884–113884. 4 indexed citations
9.
Israel, Ina, et al.. (2021). A comparison of the monomeric [68Ga]NODAGA-NGR and dimeric [68Ga]NOTA-(NGR)2 as aminopeptidase N ligand for positron emission tomography imaging in tumor-bearing mice. European Journal of Pharmaceutical Sciences. 166. 105964–105964. 11 indexed citations
10.
Israel, Ina, et al.. (2017). Validation of a [Al18F]PSMA-11 preparation for clinical applications. Applied Radiation and Isotopes. 130. 102–108. 12 indexed citations
11.
Lapa, Constantin, Andreas Schirbel, Samuel Samnick, et al.. (2017). The gross picture: intraindividual tumour heterogeneity in a patient with nonsecretory multiple myeloma. European Journal of Nuclear Medicine and Molecular Imaging. 44(6). 1097–1098. 8 indexed citations
12.
Li, Xiang, Samuel Samnick, Constantin Lapa, et al.. (2012). 68Ga-DOTATATE PET/CT for the detection of inflammation of large arteries: correlation with18F-FDG, calcium burden and risk factors. EJNMMI Research. 2(1). 52–52. 100 indexed citations
13.
Hellwig, D., Andrea Schaefer, Jochen Raedle, et al.. (2008). Para-[123I]Iod-L-phenylalanin bei Patienten mit Adenokarzinom des Pankreas Tumorale Aufnahme, Ganzkörperkinetik und Dosimetrie. Nuklearmedizin - NuclearMedicine. 47(5). 220–224. 4 indexed citations
14.
15.
Samnick, Samuel, et al.. (2006). Preparation and tumor affinity testing of the radioiodinated tetrahydroisoquinoline derivative [123I]TIC(OH) for targeting prostate cancer. Applied Radiation and Isotopes. 64(5). 563–569. 4 indexed citations
16.
Spiegel, Jörg, Wolfgang H. Jost, Samuel Samnick, et al.. (2005). FP‐CIT and MIBG scintigraphy in early Parkinson's disease. Movement Disorders. 20(5). 552–561. 85 indexed citations
17.
Samnick, Samuel, Bernd Romeike, Boris Kubuschok, et al.. (2004). p -[ 123 I]iodo-l-phenylalanine for detection of pancreatic cancer: basic investigations of the uptake characteristics in primary human pancreatic tumour cells and evaluation in in vivo models of human pancreatic adenocarcinoma. European Journal of Nuclear Medicine and Molecular Imaging. 31(4). 532–541. 11 indexed citations
18.
Hellwig, D., Samuel Samnick, Bernd Romeike, et al.. (2002). Comparison of Tc-99m Depreotide and In-111 Octreotide in Recurrent Meningioma. Clinical Nuclear Medicine. 27(11). 781–784. 9 indexed citations
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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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