André Farrokh

3.4k total citations
26 papers, 561 citations indexed

About

André Farrokh is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, André Farrokh has authored 26 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Biomedical Engineering and 5 papers in Surgery. Recurrent topics in André Farrokh's work include Ultrasound Imaging and Elastography (11 papers), Ultrasound and Hyperthermia Applications (8 papers) and Photoacoustic and Ultrasonic Imaging (7 papers). André Farrokh is often cited by papers focused on Ultrasound Imaging and Elastography (11 papers), Ultrasound and Hyperthermia Applications (8 papers) and Photoacoustic and Ultrasonic Imaging (7 papers). André Farrokh collaborates with scholars based in Germany, United States and United Kingdom. André Farrokh's co-authors include Sebastian Wojcinski, F. Degenhardt, Thomas Fischer, Anke Thomas, Torsten Slowinski, Christoph F. Dietrich, Manjiri Dighe, Yi Dong, R. Graham Barr and Peter Hillemanns and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Cancer and Ultrasound in Medicine & Biology.

In The Last Decade

André Farrokh

23 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André Farrokh Germany 11 365 297 89 87 75 26 561
Yanling Wen China 11 402 1.1× 345 1.2× 131 1.5× 113 1.3× 58 0.8× 21 701
V. Juhan France 10 585 1.6× 476 1.6× 99 1.1× 210 2.4× 95 1.3× 21 885
Jin Chung South Korea 10 262 0.7× 139 0.5× 41 0.5× 40 0.5× 43 0.6× 22 354
Katrin Brauer United Kingdom 6 754 2.1× 628 2.1× 55 0.6× 258 3.0× 78 1.0× 9 905
Sebastian Wojcinski Germany 15 548 1.5× 419 1.4× 90 1.0× 151 1.7× 207 2.8× 29 803
Jae Jeong Choi South Korea 10 384 1.1× 113 0.4× 88 1.0× 42 0.5× 169 2.3× 28 586
Priscilla Machado United States 17 447 1.2× 441 1.5× 249 2.8× 23 0.3× 54 0.7× 83 966
H. Frey Germany 4 282 0.8× 231 0.8× 135 1.5× 58 0.7× 26 0.3× 5 474
Margaret M. Szabunio United States 13 375 1.0× 168 0.6× 307 3.4× 27 0.3× 52 0.7× 24 793
Colleen H. Neal United States 16 556 1.5× 235 0.8× 160 1.8× 80 0.9× 198 2.6× 43 905

Countries citing papers authored by André Farrokh

Since Specialization
Citations

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

Fields of papers citing papers by André Farrokh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Farrokh

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

All Works

20 of 20 papers shown
1.
2.
Ferraioli, Giovanna, R. Graham Barr, André Farrokh, et al.. (2021). How to perform shear wave elastography. Part I. Medical Ultrasonography. 24(1). 95–95. 45 indexed citations
3.
Mabrouk, Mohamed, et al.. (2021). Evaluation of Laparoscopy Virtual Reality Training on the Improvement of Trainees’ Surgical Skills. Medicina. 57(2). 130–130. 10 indexed citations
4.
Ferraioli, Giovanna, R. Graham Barr, André Farrokh, et al.. (2021). How to perform shear wave elastography. Part II. Medical Ultrasonography. 24(2). 196–196. 25 indexed citations
5.
Mathiak, Micaela, F. Schäfer, Almuth Caliebe, et al.. (2020). A Giant Mammary Hamartoma in a Young Breast Cancer Patient. Breast Care. 16(1). 85–88. 3 indexed citations
6.
Maass, Nicolaì, et al.. (2019). Beckenendlage – Ist die vaginale Geburt out?. Der Gynäkologe. 52(9). 692–696. 1 indexed citations
7.
Farrokh, André, et al.. (2018). A Prospective Two Center Study Comparing Breast Cancer Lesion Size Defined by 2D Shear Wave Elastography, B-Mode Ultrasound, and Mammography with the Histopathological Size. Ultraschall in der Medizin - European Journal of Ultrasound. 40(2). 212–220. 5 indexed citations
8.
Farrokh, André, Fritz Schaefer, F. Degenhardt, & Nicolaì Maass. (2018). Comparison of Two Different Ultrasound Devices Using Strain Elastography Technology in the Diagnosis of Breast Lesions Related to the Histologic Results. Ultrasound in Medicine & Biology. 44(5). 978–985. 1 indexed citations
9.
10.
Dietrich, Christoph F., R. Graham Barr, André Farrokh, et al.. (2017). Strain Elastography - How To Do It?. SHILAP Revista de lepidopterología. 3(4). E137–E149. 127 indexed citations
11.
Pecks, Ulrich, et al.. (2016). Fetal gender and gestational age differentially affect PCSK9 levels in intrauterine growth restriction. Lipids in Health and Disease. 15(1). 193–193. 23 indexed citations
12.
Wojcinski, Sebastian, et al.. (2013). Ultrasound real-time elastography can predict malignancy in BI-RADS®-US 3 lesions. BMC Cancer. 13(1). 159–159. 33 indexed citations
13.
Farrokh, André, Sebastian Wojcinski, & F. Degenhardt. (2013). Evaluation of Real-Time Tissue Sono-elastography in the Assessment of 214 Breast Lesions: Limitations of This Method Resulting from Different Histologic Subtypes, Tumor Size and Tumor Localization. Ultrasound in Medicine & Biology. 39(12). 2264–2271. 10 indexed citations
14.
Wojcinski, Sebastian, Michael Cassel, André Farrokh, et al.. (2012). Variations in the Elasticity of Breast Tissue During the Menstrual Cycle Determined by Real-time Sonoelastography. Journal of Ultrasound in Medicine. 31(1). 63–72. 15 indexed citations
15.
Wojcinski, Sebastian, et al.. (2011). Optimizing Breast Cancer Follow-up: Diagnostic Value and Costs of Additional Routine Breast Ultrasound. Ultrasound in Medicine & Biology. 37(2). 198–206. 9 indexed citations
16.
Wojcinski, Sebastian, et al.. (2011). The Automated Breast Volume Scanner (ABVS): Initial Experiences in Lesion Detection and Interobserver Concordance of a New Method. Ultrasound in Medicine & Biology. 37(8). S46–S47.
17.
Farrokh, André, Sebastian Wojcinski, & F. Degenhardt. (2010). Diagnostische Aussagekraft der Strain-Ratio-Messung zur Unterscheidung zwischen malignen und benignen Brusttumoren. Ultraschall in der Medizin - European Journal of Ultrasound. 32(4). 400–405. 40 indexed citations
18.
Thomas, Anke, F. Degenhardt, André Farrokh, et al.. (2010). Significant Differentiation of Focal Breast Lesions. Academic Radiology. 17(5). 558–563. 148 indexed citations
19.
Farrokh, André, Sebastian Wojcinski, & F. Degenhardt. (2010). Die Real-Time Sonoelastografie in der Mammadiagnostik – Limitationen der Methode. Ultraschall in der Medizin - European Journal of Ultrasound. 31(S 01). 1 indexed citations
20.
Wojcinski, Sebastian, et al.. (2009). Sonoelastografie: Welche Verfahren gibt es? Wie sind Handhabung und Reproduzierbarkeit im klinischen Alltag?. Senologie - Zeitschrift für Mammadiagnostik und -therapie. 6(2). 1 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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