D. L. Munz

2.3k citations
76 papers · 1.6k · h-index 24

Impact in

Papers in

D. L. Munz

72 papers receiving 1.5k citations

Peers

D. L. Munz
Comparison fields: 5 of 87
  • Neurology 289
  • Radiology, Nuclear Medicine and Imaging 369
  • Epidemiology 355
  • Cancer Research 145
  • Pathology and Forensic Medicine 158
Replace Diego Cecchin with:
Diego Cecchin Italy
R. Hustinx Belgium
Floro Miraldi United States
Udalrich Buell Germany
Y Ichiya Japan
Renato Galzio Italy
Michail Plotkin Germany
Masayuki Sasaki Japan
Raimund Firsching Germany
Thomas Pfluger Germany
D. L. Munz relative to Diego Cecchin Italy Diego Cecchin's profile →
Citations per field
00.5×2.6×
Diego Cecchin · 1×
Citations per year

Countries citing papers authored by D. L. Munz

Since Specialization
Citations

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

Fields of papers citing papers by D. L. Munz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. L. Munz. 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 D. L. Munz. The network helps show where D. L. Munz may publish in the future.

Co-authors

The 25 scholars most cited alongside D. L. Munz, 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 D. L. Munz Line = papers co-authored together D. L. Munz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000117
2 200492
3 199590
4 200485
5 200674
6 199368
7
Somatostatin receptor scintigraphy in small-cell lung cancer: results of a multicenter study.
199867
8
Multicenter comparison of calibration and cross calibration of PET scanners.
200265
9 200752
10 199547
11 199843
12 200340
13 199739
14 199738
15
Improved radioimmunoimaging of human tumor xenografts by a mixture of monoclonal antibody F(ab')2 fragments.
198637
16 200836
17 201334
18 198633
19 199333
20 200228

About D. L. Munz

D. L. Munz is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Medical Imaging Techniques and Applications (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Cutaneous Melanoma Detection and Management (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Neurological disorders and treatments (5 papers) and Breast Lesions and Carcinomas (5 papers). The work is most often cited by research in Neurology (289 citations), Radiology, Nuclear Medicine and Imaging (369 citations), Epidemiology (355 citations), Cancer Research (145 citations) and Pathology and Forensic Medicine (158 citations). D. L. Munz has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Lilli Geworski, D. Sandrock, D. Emrich, J. Staedt, Gabriela Stoppe, Sofiane Maza, H Riemann, Wolfram H. Knapp, Göran Hajak and E. R�ther. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Nuklearmedizin - NuclearMedicine, Nuclear Medicine Communications, Journal of Neural Transmission and Cancer.

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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