F. Munz

1.2k citations
16 papers · 943 · h-index 7

Impact in

Papers in

F. Munz

12 papers receiving 906 citations

Peers

F. Munz
Comparison fields: 5 of 79
  • Dermatology 225
  • Sensory Systems 90
  • Immunology and Allergy 95
  • Cognitive Neuroscience 295
  • Physiology 357
Replace Vijay K. Samineni with:
Vijay K. Samineni United States
Zita Puskár Hungary
Aslan Tekataş Türkiye
J. G. Thalhammer United States
Loring F. Chapman United States
Shafaq Sikandar United Kingdom
Yang‐Shuai Su China
Weidong Li China
Yoriko Kawakami Japan
Bernard Calvino France
F. Munz relative to Vijay K. Samineni United States Vijay K. Samineni's profile →
Citations per field
00.5×4.8×
Vijay K. Samineni · 1×
Citations per year

Countries citing papers authored by F. Munz

Since Specialization
Citations

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

Fields of papers citing papers by F. Munz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1999327
2 2001202
3 1999179
4 2000111
5
Central pain after pontine infarction is associated with changes in opioid receptor binding: a PET study with 11C-diprenorphine.
199956
6
6-O-(2-[18F]fluoroethyl)-6-O-desmethyldiprenorphine ([18F]DPN): synthesis, biologic evaluation, and comparison with [11C]DPN in humans.
200044
7 200213
8 20045
9 20062
10 20001
11 20011
12
Middleware and cloud computing : oracle fusion middleware on amazon web services and rackspace cloud
20111
13 19981
14 20000
15 20020
16
Middleware and Cloud Computing: Oracle on Amazon Web Services (AWS), Rackspace Cloud and RightScale
20110

About F. Munz

F. Munz is a scholar working on Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Dermatology, Sensory Systems and Physiology, having authored 16 papers that have together received 943 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Organometallic Complex Synthesis and Catalysis (3 papers), Dermatology and Skin Diseases (3 papers), Olfactory and Sensory Function Studies (3 papers), Advanced MRI Techniques and Applications (3 papers), Pain Mechanisms and Treatments (3 papers), Allergic Rhinitis and Sensitization (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Dermatology (225 citations), Sensory Systems (90 citations), Immunology and Allergy (95 citations), Cognitive Neuroscience (295 citations) and Physiology (357 citations). F. Munz has collaborated with scholars based in Germany and United States. Frequent co-authors include Markus Schwaiger, Peter Bartenstein, B. Conrad, Frode Willoch, Alexander Drzezga, Ulf Darsow, Tanja Kaufmann, Achim Berthele, W. Zieglg�nsberger and Stefan Lautenbacher. Their work appears in journals such as Organometallics, Annals of Neurology, Future Generation Computer Systems, International Archives of Allergy and Immunology and Pain.

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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