Daniel Putzer

75 papers receiving 2.2k citations

Peers

Daniel Putzer
Comparison fields: 5 of 89
  • Hepatology 453
  • Genetics 329
  • Neurology 334
  • Radiology, Nuclear Medicine and Imaging 471
  • Epidemiology 645
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Secondo Lastoria Italy
Niklaus Schaefer Switzerland
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Katsuyuki Nakanishi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Putzer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Putzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Putzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Putzer Line = papers co-authored together Daniel Putzer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013171
2 2009162
3 2009159
4 2011129
5 201992
6 201189
7 202087
8 201181
9 201373
10 202171
11 201367
12 201860
13 201360
14 201458
15
Individualized peptide-related-radionuclide-therapy concept using different radiolabelled somatostatin analogs in advanced cancer patients.
201052
16
Comparison of (68)Ga-DOTA-Tyr(3)-octreotide and (18)F-fluoro-L-dihydroxyphenylalanine positron emission tomography in neuroendocrine tumor patients.
201042
17 201240
18 201338
19 200937
20 200934

About Daniel Putzer

Daniel Putzer is a scholar working on Hepatology, Epidemiology, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 78 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (26 papers), Neuroendocrine Tumor Research Advances (15 papers), Glioma Diagnosis and Treatment (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Medical Imaging Techniques and Applications (6 papers), Lung Cancer Research Studies (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). The work is most often cited by research in Hepatology (453 citations), Genetics (329 citations), Neurology (334 citations), Radiology, Nuclear Medicine and Imaging (471 citations) and Epidemiology (645 citations). Daniel Putzer has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Reto Bale, Irene Virgolini, Peter Schullian, Michael Gabriel, Dorota Kendler, Gregor Laimer, Clemens Decristoforo, Christian Uprimny, Gernot Eberle and Dietmar Waitz. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, International Journal of Hyperthermia, European Radiology, CardioVascular and Interventional Radiology and Journal of Nuclear Medicine.

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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