Isabel Igerc

467 citations
9 papers · 323 indexed · h-index 6

Impact in

Papers in

Isabel Igerc

9 papers receiving 314 citations

Peers

Isabel Igerc
Comparison fields: 5 of 46
  • Radiology, Nuclear Medicine and Imaging 209
  • Endocrinology, Diabetes and Metabolism 100
  • Cancer Research 48
  • Pulmonary and Respiratory Medicine 82
  • Oncology 44
Replace Susanne Kohlfürst with:
Susanne Kohlfürst Austria
Sang Kyun Bae South Korea
S. Matschnig Austria
Maria Felicia Villani Italy
Gundula Rendl Austria
Yunxia Huang China
Maomei Ruan China
Danielle M. Richman United States
Rexhep Durmo Italy
Satoko Ishigaki Japan
Isabel Igerc relative to Susanne Kohlfürst Austria Susanne Kohlfürst's profile →
Citations per field
00.5×3.7×
Susanne Kohlfürst · 1×
Citations per year

Countries citing papers authored by Isabel Igerc

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Igerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Isabel Igerc, 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 Isabel Igerc Line = papers co-authored together Isabel Igerc links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20183
2 200663
3 200618
4 20051
5 200473
6 2003126
7 200310
8 200325
9
20034

About Isabel Igerc

Isabel Igerc is a scholar working on Anatomy, Endocrinology, Diabetes and Metabolism, Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 9 papers that have together received 323 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Infectious Diseases and Tuberculosis (1 paper), Neuroendocrine Tumor Research Advances (1 paper), BRCA gene mutations in cancer (1 paper) and Pituitary Gland Disorders and Treatments (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (209 citations), Endocrinology, Diabetes and Metabolism (100 citations), Cancer Research (48 citations), Pulmonary and Respiratory Medicine (82 citations) and Oncology (44 citations). Isabel Igerc has collaborated with scholars based in Austria and Germany. Frequent co-authors include E. Kresnik, H. J. Gallowitsch, Peter Lind, G. Kumnig, Peter Mikosch, Johann Gasser, Peter Lind, Thomas Beyer, Iris Gomez and Klaus A. Hausegger. Their work appears in journals such as Investigative Radiology, European Journal of Nuclear Medicine and Molecular Imaging, Thyroid, Clinical Nuclear Medicine and Wiener Medizinische Wochenschrift.

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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