D. L. Munz

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

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Medical Imaging Techniques and Applications
    • Radiopharmaceutical Chemistry and Applications
    • Radiomics and Machine Learning in Medical Imaging

Papers in

D. L. Munz

72 papers receiving 1.5k citations

Peers

D. L. Munz
Comparison fields: 5 of 93
  • Neurology 351
  • Radiology, Nuclear Medicine and Imaging 471
  • Pathology and Forensic Medicine 251
  • Epidemiology 419
  • Cancer Research 163
Replace Udalrich Buell with:
Udalrich Buell Germany
R. Hustinx Belgium
Floro Miraldi United States
Roberta Danieli Italy
Thomas Pfluger Germany
G. Hör Germany
Y Ichiya Japan
Masayuki Sasaki Japan
Michail Plotkin Germany
Hiroshi Fukatsu Japan
D. L. Munz relative to Udalrich Buell Germany Udalrich Buell's profile →
Citations per field
00.5×1.5×
Udalrich Buell · 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-authorship network

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
#Work
1 201333
2 200752
3 200523
4 200515
5 20042
6 200485
7 200411
8 20044
9 20023
10 200025
11 2000117
12 199824
13 19964
14 19969
15 199547
16 199513
17 199589
18 199521
19 199333
20 199368

About D. L. Munz

D. L. Munz is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Neurology, Transplantation and Cancer Research, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Radiopharmaceutical Chemistry and Applications (11 papers), Breast Cancer Treatment Studies (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Cardiac Imaging and Diagnostics (7 papers), Advanced MRI Techniques and Applications (7 papers), Cutaneous Melanoma Detection and Management (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Neurology (351 citations), Radiology, Nuclear Medicine and Imaging (471 citations), Pathology and Forensic Medicine (251 citations), Epidemiology (419 citations) and Cancer Research (163 citations). D. L. Munz has collaborated with scholars based in Germany, United States and Switzerland. 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, Journal of Neural Transmission, Nuclear Medicine Communications 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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