Katalin Ormándi

24 papers receiving 252 citations

Peers

Katalin Ormándi
Comparison fields: 5 of 39
  • Cancer Research 153
  • Pathology and Forensic Medicine 118
  • Oncology 123
  • Dermatology 27
  • Radiology, Nuclear Medicine and Imaging 56
Replace Massimo Scheibel with:
Massimo Scheibel Italy
Christina Vallejo United States
J. Jordi Rowe United States
Gloria J Carter United States
Yumi Miyagi Japan
Israel Barco Spain
Voïchita Suciu France
Jeffrey Catalano United States
Simone Zanotti Italy
S Scholl France
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Citations per year

Countries citing papers authored by Katalin Ormándi

Since Specialization
Citations

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

Fields of papers citing papers by Katalin Ormándi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200848
2 200735
3 200622
4 201120
5
Value of 99m-Tc MIBI and 99m-Tc(V) DMSA scintigraphy in evaluation of breast mass lesions.
199719
6 201916
7 201513
8 200813
9 201213
10 199912
11 202210
12 201810
13
[The role of 99mTc-MIBI mammoscintigraphy in the diagnosis of breast cancer].
19986
14 20124
15 20103
16 20173
17 20233
18
[Importance of sentinel lymph node biopsy in surgical therapy of in situ breast cancer].
20063
19
[Radiology/Nuclear Medicine Group. Use of imaging methods in the current screening, diagnostics and treatment of breast cancer - Professional guidelines. 4th Breast Cancer Consensus Conference].
20203
20
[Use of imaging methods in the current screening, diagnostics and treatment of breast cancer - Professional guidelines. 3rd Breast Cancer Consensus Meeting].
20161

About Katalin Ormándi

Katalin Ormándi is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Dermatology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 262 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (18 papers), Breast Lesions and Carcinomas (11 papers), HER2/EGFR in Cancer Research (5 papers), Breast Implant and Reconstruction (5 papers), Cancer Treatment and Pharmacology (3 papers), Cancer and Skin Lesions (3 papers), Cancer Cells and Metastasis (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cancer Research (153 citations), Pathology and Forensic Medicine (118 citations), Oncology (123 citations), Dermatology (27 citations) and Radiology, Nuclear Medicine and Imaging (56 citations). Katalin Ormándi has collaborated with scholars based in Hungary, Qatar and United Kingdom. Frequent co-authors include György Lázár, László Thurzó, András Vörös, Tibor Nyári, Krisztina Boda, Zsuzsanna Kahán, Zsolt Simonka, Attila Paszt, Tibor Takács and L. Csernay. Their work appears in journals such as Pathology & Oncology Research, European Journal of Surgical Oncology, Oncology, Acta Oncologica and International Journal of Oncology.

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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