Gábor Forrai

2.2k total citations
17 papers, 383 citations indexed

About

Gábor Forrai is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Gábor Forrai has authored 17 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cancer Research. Recurrent topics in Gábor Forrai's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Breast Lesions and Carcinomas (6 papers) and Breast Cancer Treatment Studies (4 papers). Gábor Forrai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Breast Lesions and Carcinomas (6 papers) and Breast Cancer Treatment Studies (4 papers). Gábor Forrai collaborates with scholars based in Hungary, United Kingdom and Austria. Gábor Forrai's co-authors include Julia Camps Herrero, Francesco Sardanelli, Paola Clauser, Thomas H. Helbich, Éva Ambrózay, Rubina Manuela Trimboli, Eva Maria Fallenberg, Ben Glocker, A.Y. Ng and János Fodor and has published in prestigious journals such as Nature Medicine, The Journal of Urology and BMC Cancer.

In The Last Decade

Gábor Forrai

17 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gábor Forrai Hungary 10 213 122 93 90 74 17 383
Solveig Roth Hoff Norway 12 215 1.0× 288 2.4× 69 0.7× 47 0.5× 190 2.6× 25 484
Vignesh A. Arasu United States 14 412 1.9× 104 0.9× 127 1.4× 102 1.1× 98 1.3× 26 543
O. Miranda France 8 381 1.8× 48 0.4× 28 0.3× 34 0.4× 95 1.3× 22 470
Jessica H. Hayward United States 11 150 0.7× 66 0.5× 71 0.8× 70 0.8× 79 1.1× 33 328
Changli Li China 8 201 0.9× 72 0.6× 47 0.5× 23 0.3× 43 0.6× 11 394
Xiaofeng Jiang China 7 188 0.9× 63 0.5× 33 0.4× 11 0.1× 56 0.8× 13 285
Giacomo Avesani Italy 12 227 1.1× 39 0.3× 38 0.4× 17 0.2× 67 0.9× 49 481
Valentina Iotti Italy 11 178 0.8× 114 0.9× 87 0.9× 57 0.6× 180 2.4× 16 362
Andrea Arieno United Kingdom 14 219 1.0× 238 2.0× 100 1.1× 109 1.2× 270 3.6× 28 476
Renee W. Pinsky United States 10 180 0.8× 159 1.3× 75 0.8× 91 1.0× 187 2.5× 20 388

Countries citing papers authored by Gábor Forrai

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Forrai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Forrai

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Forrai. A scholar is included among the top collaborators of Gábor Forrai 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 Gábor Forrai. Gábor Forrai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Ng, A.Y., Cary Oberije, Éva Ambrózay, et al.. (2023). Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer. Nature Medicine. 29(12). 3044–3049. 68 indexed citations
2.
Sharma, Nisha, A.Y. Ng, Jonathan J. James, et al.. (2023). Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms. BMC Cancer. 23(1). 460–460. 37 indexed citations
3.
Forrai, Gábor, Eszter Kovács, Éva Ambrózay, et al.. (2022). Use of Diagnostic Imaging Modalities in Modern Screening, Diagnostics and Management of Breast Tumours 1st Central-Eastern European Professional Consensus Statement on Breast Cancer. Pathology & Oncology Research. 28. 1610382–1610382. 10 indexed citations
4.
Forrai, Gábor, Eszter Kovács, Éva Ambrózay, et al.. (2020). [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].. PubMed. 64(4). 278–299. 3 indexed citations
5.
Clauser, Paola, Ritse M. Mann, Alexandra Athanasiou, et al.. (2017). A survey by the European Society of Breast Imaging on the utilisation of breast MRI in clinical practice. European Radiology. 28(5). 1909–1918. 79 indexed citations
6.
Forrai, Gábor, Éva Ambrózay, Katalin Borbély, et al.. (2016). [Use of imaging methods in the current screening, diagnostics and treatment of breast cancer - Professional guidelines. 3rd Breast Cancer Consensus Meeting].. PubMed. 60(3). 181–93. 1 indexed citations
7.
Sardanelli, Francesco, Eva Maria Fallenberg, Paola Clauser, et al.. (2016). Mammography: an update of the EUSOBI recommendations on information for women. Insights into Imaging. 8(1). 11–18. 79 indexed citations
8.
Forrai, Gábor, Éva Szabó, Katalin Ormándi, et al.. (2010). A képalkotó vizsgálómódszerek alkalmazása az emlődaganatok korszerű diagnosztikájában és szűrésében. PubMed. 54(3). 211–216. 3 indexed citations
9.
Altorjay, Áron, et al.. (2003). Synchronous multiple glomus tumors of the esophagus and lung.. PubMed. 50(51). 687–90. 13 indexed citations
10.
Otal, Philippe, Gábor Forrai, V. Chabbert, et al.. (2001). In Vitro Evaluation of a New Rotational Thrombectomy Device: The Straub Rotarex Catheter. CardioVascular and Interventional Radiology. 24(5). 319–323. 15 indexed citations
11.
Forrai, Gábor, et al.. (2001). PERIRENAL MYELOLIPOMA CAUSING GIANT, INFECTED HYDRONEPHROSIS AND RENAL PELVIC STONE. The Journal of Urology. 1620–1621. 1 indexed citations
12.
Forrai, Gábor, et al.. (2001). The role of STIR MRI sequence in the evaluation of the breast following conservative surgery and radiotherapy.. PubMed. 48(1). 7–11. 8 indexed citations
13.
Szabó, Flóra, et al.. (2001). PERIRENAL MYELOLIPOMA CAUSING GIANT, INFECTED HYDRONEPHROSIS AND RENAL PELVIC STONE. The Journal of Urology. 165(5). 1620–1621. 3 indexed citations
14.
Polgár, Csaba, Tibor Major, A. Somogyi, et al.. (2000). CT-Image Based Conformal Brachytherapy of Breast Cancer The Significance of Semi-3-D and 3-D Treatment Planning. Strahlentherapie und Onkologie. 176(3). 118–124. 24 indexed citations
15.
Major, Tibor, A. Somogyi, János Fodor, et al.. (1999). [Brachytherapy of the tumor bed after breast conserving surgery: new radiotherapeutic option in the management of early breast cancer].. PubMed. 140(26). 1461–6. 9 indexed citations
16.
Forrai, Gábor, et al.. (1999). [Radiologic follow-up after breast-conserving surgery: value of MRI examination of the breast].. PubMed. 140(47). 2619–25. 2 indexed citations
17.
Polgár, Csaba, Tibor Major, A. Somogyi, et al.. (1999). Sole brachytherapy of the tumor bed after breast conserving surgery: a new radiotherapeutic strategy for patients at low risk of local relapse.. PubMed. 46(3). 182–9. 28 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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