I Mutz

65 papers receiving 874 citations

Peers

I Mutz
Comparison fields: 5 of 77
  • Infectious Diseases 281
  • Parasitology 90
  • Neurology 179
  • Hepatology 60
  • Cardiology and Cardiovascular Medicine 151
Replace Martina Prelog with:
Martina Prelog Austria
J Beylot France
Helena Dahl Sweden
Martin Larsen France
Ian Jack Australia
M Lamy Belgium
H H Balfour United States
D. Torre Italy
Adalberto Rezende Santos Brazil
Jeong Kee Seo South Korea
I Mutz relative to Martina Prelog Austria Martina Prelog's profile →
Citations per field
00.5×4.6×
Martina Prelog · 1×
Citations per year

Countries citing papers authored by I Mutz

Since Specialization
Citations

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

Fields of papers citing papers by I Mutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200183
2 200882
3 199576
4 198574
5 199853
6 200845
7 200140
8 200534
9 200030
10 201630
11 199729
12 198627
13 199325
14 197924
15 200619
16 199519
17
[Hemorrhagic complications after tonsillectomy and adenoidectomy. Experiences with 7,743 operations in 14 years].
199319
18 198219
19 200812
20 198012

About I Mutz

I Mutz is a scholar working on Infectious Diseases, Molecular Biology, Hematology, Public Health, Environmental and Occupational Health and Neurology, having authored 75 papers that have together received 924 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (9 papers), Acute Lymphoblastic Leukemia research (8 papers), Acute Myeloid Leukemia Research (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Viral Infections and Immunology Research (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Retinoids in leukemia and cellular processes (4 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Infectious Diseases (281 citations), Parasitology (90 citations), Neurology (179 citations), Hepatology (60 citations) and Cardiology and Cardiovascular Medicine (151 citations). I Mutz has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include B. Ehlken, Martin Frühwirth, G. Wewalka, Hartwig P. Huemer, Brunhilde Molzer, Franz Allerberger, Sylvia Stöckler, Daniela Schmid, Werner Zenz and Fritz Paltauf. Their work appears in journals such as European Journal of Pediatrics, European Journal of Cancer, The Pediatric Infectious Disease Journal, Eurosurveillance and Pediatric Research.

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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