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.
Comparison of [18F]DCFPyL and [68Ga]Ga-PSMA-HBED-CC for PSMA-PET Imaging in Patients with Relapsed Prostate Cancer
2015286 citationsMarkus Dietlein, Carsten Kobe et al.Molecular Imaging and Biologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Raphael Richarz
Since
Specialization
Citations
This map shows the geographic impact of Raphael Richarz'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 Raphael Richarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Richarz more than expected).
This network shows the impact of papers produced by Raphael Richarz. 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 Raphael Richarz. The network helps show where Raphael Richarz may publish in the future.
Co-authorship network of co-authors of Raphael Richarz
This figure shows the co-authorship network connecting the top 25 collaborators of Raphael Richarz.
A scholar is included among the top collaborators of Raphael Richarz 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 Raphael Richarz. Raphael Richarz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Krapf, Philipp, Raphael Richarz, Elizaveta A. Urusova, Bernd Neumaier, & Boris D. Zlatopolskiy. (2016). Seyferth-Gilbert Homologation as a Novel Route to F-18-labeled Building Blocks: Preparation of Radiofluorinated Phenylacetylenes and their Application in PET Chemistry. Kölner Universitäts PublikationsServer (Universität zu Köln).1 indexed citations
7.
Mottaghy, Felix M., Boris D. Zlatopolskiy, Felix Vogt, et al.. (2016). In vivo molecular imaging of glutamate carboxypeptidase II expression in re-endothelialisation after percutaneous balloon denudation in a rat model. European Journal of Nuclear Medicine and Molecular Imaging. 43.3 indexed citations
Dietlein, Markus, Carsten Kobe, Georg Kuhnert, et al.. (2015). Comparison of [18F]DCFPyL and [68Ga]Ga-PSMA-HBED-CC for PSMA-PET Imaging in Patients with Relapsed Prostate Cancer. Molecular Imaging and Biology. 17(4). 575–584.286 indexed citations breakdown →
10.
Kobe, Carsten, Markus Dietlein, Georg Kuhnert, et al.. (2015). The 18F-labeled PSMA_6 compares favorably to 68Ga-labeled PSMA-HBED-CC. A first clinical study in patients with relapsed prostate cancer. 56. 402–402.1 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.