Daniel Dejaco

1.2k citations
71 papers · 765 · h-index 18

Impact in

    • Head and Neck Cancer Studies
    • Sinusitis and nasal conditions
    • Ear Surgery and Otitis Media
    • Hearing, Cochlea, Tinnitus, Genetics

Papers in

    • Head and Neck Cancer Studies 20
    • Sinusitis and nasal conditions 7
    • Ear Surgery and Otitis Media 6
    • Cancer Cells and Metastasis 4

Daniel Dejaco

57 papers receiving 754 citations

Peers

Daniel Dejaco
Comparison fields: 5 of 101
  • Otorhinolaryngology 225
  • Sensory Systems 30
  • Health Informatics 8
  • Cancer Research 57
  • Oncology 97
Replace José Victor Maníglia with:
José Victor Maníglia Brazil
Linda X. Yin United States
Maurizio Maurizi Italy
Atila Güngör Türkiye
Jameel Muzaffar United Kingdom
Tjoson Tjoa United States
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Taner Yılmaz Türkiye
Roberto Puxeddu Italy
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Citations per field
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José Victor Maníglia · 1×
Citations per year

Countries citing papers authored by Daniel Dejaco

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dejaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201292
2 201850
3 201946
4 201437
5 202032
6 202232
7 201732
8 202230
9 201527
10 202025
11 201825
12 201920
13 201320
14 202019
15 201818
16 201917
17 201917
18 201717
19 202315
20 201814

About Daniel Dejaco

Daniel Dejaco is a scholar working on Otorhinolaryngology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 71 papers that have together received 765 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (20 papers), Sinusitis and nasal conditions (7 papers), Ear Surgery and Otitis Media (6 papers), Reconstructive Surgery and Microvascular Techniques (5 papers), Cancer Cells and Metastasis (4 papers), Hearing Loss and Rehabilitation (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Salivary Gland Tumors Diagnosis and Treatment (4 papers). The work is most often cited by research in Otorhinolaryngology (225 citations), Sensory Systems (30 citations), Health Informatics (8 citations), Cancer Research (57 citations) and Oncology (97 citations). Daniel Dejaco has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Herbert Riechelmann, David Riedl, Teresa Bernadette Steinbichler, Gerlig Widmann, Joachim Schmutzhard, Natalie Fischer, József Dudás, Volker Hans Schartinger, Aris Ι. Giotakis and Judith K. Daniels. Their work appears in journals such as Cancers, European Archives of Oto-Rhino-Laryngology, Journal of Psychosomatic Research, Head & Neck and Cancer Imaging.

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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