Seval Beykan

1.1k total citations · 1 hit paper
13 papers, 843 citations indexed

About

Seval Beykan is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Seval Beykan has authored 13 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Seval Beykan's work include Radiopharmaceutical Chemistry and Applications (9 papers), Medical Imaging Techniques and Applications (5 papers) and Neuroendocrine Tumor Research Advances (4 papers). Seval Beykan is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (9 papers), Medical Imaging Techniques and Applications (5 papers) and Neuroendocrine Tumor Research Advances (4 papers). Seval Beykan collaborates with scholars based in Germany, United States and Denmark. Seval Beykan's co-authors include Michael Laßmann, Margret Schottelius, Hans‐Jürgen Wester, Martina Weineisen, Markus Schwaiger, Harshad Kulkarni, Jakub Šimeček, Matthias Eiber, Ingo Klette and Akın Yıldız and has published in prestigious journals such as Theranostics, Oncotarget and Journal of Nuclear Medicine.

In The Last Decade

Seval Beykan

13 papers receiving 839 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

⁶⁸Ga- and ¹⁷⁷Lu-Labeled PSMA I&T: Optimization of a PSMA-Targeted Theranostic Concept and First Proof-of-Concept Human Studies

2015 419 citations Martina Weineisen, Margret Schottelius et al. Journal of Nuclear Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seval Beykan Germany	9	627	507	327	126	70	13	843
Ute Hennrich Germany	8	717 1.1×	474 0.9×	436 1.3×	195 1.5×	181 2.6×	12	1.1k
M. Stefanova Germany	4	512 0.8×	491 1.0×	304 0.9×	179 1.4×	47 0.7×	8	737
Marcus Bronzel Germany	6	828 1.3×	683 1.3×	288 0.9×	61 0.5×	69 1.0×	12	940
Ingo Klette Germany	12	1.1k 1.7×	842 1.7×	458 1.4×	173 1.4×	129 1.8×	21	1.3k
Uta Eberlein Germany	17	789 1.3×	451 0.9×	246 0.8×	164 1.3×	152 2.2×	48	1.0k
Meltem Ocak Türkiye	22	922 1.5×	781 1.5×	482 1.5×	387 3.1×	110 1.6×	54	1.5k
Negin Hatami United States	13	354 0.6×	286 0.6×	202 0.6×	77 0.6×	59 0.8×	34	643
Stefan Kürpig Germany	15	1.2k 1.8×	1.0k 2.0×	461 1.4×	99 0.8×	101 1.4×	25	1.3k
Timothy Akhurst United States	12	610 1.0×	463 0.9×	337 1.0×	129 1.0×	138 2.0×	14	1.1k
Thomas Armor United States	8	460 0.7×	409 0.8×	189 0.6×	76 0.6×	57 0.8×	16	685

Countries citing papers authored by Seval Beykan

Since Specialization

Citations

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

Fields of papers citing papers by Seval Beykan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seval Beykan

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

All Works

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13 of 13 papers shown

Beykan, Seval, Johannes Tran‐Gia, Svend Borup Jensen, & Michael Laßmann. (2022). Is a single late SPECT/CT based kidney 177Lu-dosimetry superior to hybrid dosimetry with sequential multiple time-point whole-body planar scans in combination with an early SPECT/CT?. Physica Medica. 100. 39–50. 2 indexed citations

Beykan, Seval, Melpomeni Fani, Svend Borup Jensen, et al.. (2019). In Vivo Biokinetics of ¹⁷⁷Lu-OPS201 in Mice and Pigs as a Model for Predicting Human Dosimetry. Contrast Media & Molecular Imaging. 2019. 1–7. 36 indexed citations

Evans‐Axelsson, Susan, Andreea D. Stuparu, Seval Beykan, et al.. (2018). Microscale radiosynthesis, preclinical imaging and dosimetry study of [18F]AMBF3-TATE: A potential PET tracer for clinical imaging of somatostatin receptors. Nuclear Medicine and Biology. 61. 36–44. 24 indexed citations

Selçuk, Nalan Alan, et al.. (2018). Evaluation of the dosimetry approaches in ablation treatment of thyroid cancer. Journal of Applied Clinical Medical Physics. 19(4). 134–140. 6 indexed citations

Schottelius, Margret, Theresa Osl, Andreas Poschenrieder, et al.. (2017). [¹⁷⁷Lu]pentixather: Comprehensive Preclinical Characterization of a First CXCR4-directed Endoradiotherapeutic Agent. Theranostics. 7(9). 2350–2362. 90 indexed citations

Nicolas, Guillaume, Seval Beykan, Hakim Bouterfa, et al.. (2017). Safety, Biodistribution, and Radiation Dosimetry of ⁶⁸Ga-OPS202 in Patients with Gastroenteropancreatic Neuroendocrine Tumors: A Prospective Phase I Imaging Study. Journal of Nuclear Medicine. 59(6). 909–914. 68 indexed citations

Kesner, Adam, G. Poli, Seval Beykan, & Michael Laßmann. (2017). The IAEA Radiotracer Biodistribution Template – A community resource for supporting the standardization and reporting of radionuclide pre-dosimetry data. Physica Medica. 44. 83–85. 4 indexed citations

Beykan, Seval, et al.. (2016). Recommended administered activities for 68Ga-labelled peptides in paediatric nuclear medicine. European Journal of Nuclear Medicine and Molecular Imaging. 43(11). 2036–2039. 8 indexed citations

Beykan, Seval, Jan S. Dam, Uta Eberlein, et al.. (2016). 177Lu-OPS201 targeting somatostatin receptors: in vivo biodistribution and dosimetry in a pig model. EJNMMI Research. 6(1). 50–50. 16 indexed citations

10.

Boschi, Stefano, Jason T. Lee, Seval Beykan, et al.. (2016). Synthesis and preclinical evaluation of an Al18F radiofluorinated GLU-UREA-LYS(AHX)-HBED-CC PSMA ligand. European Journal of Nuclear Medicine and Molecular Imaging. 43(12). 2122–2130. 40 indexed citations

11.

Werner, Rudolf A., Seval Beykan, Takahiro Higuchi, et al.. (2016). The impact of 177Lu-octreotide therapy on 99mTc-MAG3 clearance is not predictive for late nephropathy. Oncotarget. 7(27). 41233–41241. 15 indexed citations

12.

Herrmann, Ken, Christina Bluemel, Martina Weineisen, et al.. (2015). Biodistribution and Radiation Dosimetry for a Probe Targeting Prostate-Specific Membrane Antigen for Imaging and Therapy. Journal of Nuclear Medicine. 56(6). 855–861. 115 indexed citations

13.

Weineisen, Martina, Margret Schottelius, Jakub Šimeček, et al.. (2015). ⁶⁸Ga- and ¹⁷⁷Lu-Labeled PSMA I&T: Optimization of a PSMA-Targeted Theranostic Concept and First Proof-of-Concept Human Studies. Journal of Nuclear Medicine. 56(8). 1169–1176. 419 indexed citations breakdown →

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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