Isabel Igerc

467 total citations
9 papers, 323 citations indexed

About

Isabel Igerc is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Isabel Igerc has authored 9 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Surgery. Recurrent topics in Isabel Igerc's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Medical Imaging Techniques and Applications (3 papers). Isabel Igerc is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Medical Imaging Techniques and Applications (3 papers). Isabel Igerc collaborates with scholars based in Austria and Germany. Isabel Igerc's co-authors include E. Kresnik, H. J. Gallowitsch, Peter Lind, G. Kumnig, Peter Mikosch, Johann Gasser, Peter Lind, Iris Gomez, Thomas Beyer and Klaus A. Hausegger and has published in prestigious journals such as European Journal of Nuclear Medicine and Molecular Imaging, Thyroid and Investigative Radiology.

In The Last Decade

Isabel Igerc

9 papers receiving 314 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Isabel Igerc Austria	6	209	100	82	65	48	9	323
Susanne Kohlfürst Austria	6	147 0.7×	131 1.3×	85 1.0×	70 1.1×	38 0.8×	14	287
Sang Kyun Bae South Korea	12	178 0.9×	155 1.6×	103 1.3×	114 1.8×	46 1.0×	28	403
S. Matschnig Austria	8	140 0.7×	185 1.9×	89 1.1×	86 1.3×	22 0.5×	8	294
Gundula Rendl Austria	9	100 0.5×	128 1.3×	103 1.3×	140 2.2×	30 0.6×	36	348
Rexhep Durmo Italy	8	143 0.7×	109 1.1×	60 0.7×	75 1.2×	11 0.2×	24	272
Maomei Ruan China	12	197 0.9×	168 1.7×	181 2.2×	60 0.9×	48 1.0×	26	429
Danielle M. Richman United States	10	78 0.4×	208 2.1×	29 0.4×	158 2.4×	20 0.4×	14	325
Yunxia Huang China	7	156 0.7×	103 1.0×	20 0.2×	36 0.6×	34 0.7×	13	208
Jules Zhang-Yin France	10	103 0.5×	21 0.2×	103 1.3×	37 0.6×	15 0.3×	34	236
Maria Felicia Villani Italy	7	100 0.5×	164 1.6×	82 1.0×	74 1.1×	21 0.4×	23	312

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 of co-authors of Isabel Igerc

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Igerc. A scholar is included among the top collaborators of Isabel Igerc based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Isabel Igerc. Isabel Igerc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Wieser, Stefan, Isabel Igerc, Klaus A. Hausegger, & H Eckel. (2018). Worldwide 1st MED-EL Mi1200 SYNCHRONY cochlear implant magnet removal for MRI image artifact reduction. Otolaryngology Case Reports. 9. 41–44. 3 indexed citations

2.

Zöller, Michael, Isabel Igerc, E. Kresnik, et al.. (2006). Combined PET/CT in the follow-up of differentiated thyroid carcinoma: what is the impact of each modality?. European Journal of Nuclear Medicine and Molecular Imaging. 34(4). 487–495. 63 indexed citations

3.

Igerc, Isabel, et al.. (2006). Is There a Role for Sandostatin Treatment in Patients with Progressive Thyroid Cancer and Iodine-Negative But Somatostatin-Receptor–Positive Metastases?. Thyroid. 16(11). 1113–1119. 18 indexed citations

4.

Lind, Peter, Isabel Igerc, & Susanne Kohlfürst. (2005). Diagnosis, treatment and follow-up in the case of differentiated thyroid cancer. Wiener Medizinische Wochenschrift. 155(19-20). 429–435. 1 indexed citations

5.

Hausegger, Klaus A., et al.. (2004). Advantages and limitations of FDG PET in the follow-up of breast cancer. European Journal of Nuclear Medicine and Molecular Imaging. 31(0). S125–S134. 73 indexed citations

6.

Gallowitsch, H. J., E. Kresnik, Johann Gasser, et al.. (2003). F-18 Fluorodeoxyglucose Positron-Emission Tomography in the Diagnosis of Tumor Recurrence and Metastases in the Follow-Up of Patients With Breast Carcinoma. Investigative Radiology. 38(5). 250–256. 126 indexed citations

7.

Igerc, Isabel, et al.. (2003). FDG PET Helpful for Diagnosing SAPHO Syndrome. Clinical Nuclear Medicine. 28(10). 838–839. 10 indexed citations

8.

Lind, P., E. Kresnik, G. Kumnig, et al.. (2003). ¹⁸F‐FDG‐PET in the Follow‐up of Thyroid Cancer. PubMed. 30(1). 17–21. 25 indexed citations

9.

Gallowitsch, H. J., E. Kresnik, Johann Gasser, et al.. (2003). . Investigative Radiology. 38(5). 250–256. 4 indexed citations

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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