Farid Sarandi

412 total citations
8 papers, 309 citations indexed

About

Farid Sarandi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Farid Sarandi has authored 8 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Farid Sarandi's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers) and Breast Cancer Treatment Studies (2 papers). Farid Sarandi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers) and Breast Cancer Treatment Studies (2 papers). Farid Sarandi collaborates with scholars based in France and Italy. Farid Sarandi's co-authors include Elise Le Stanc, Fabrice Gutman, A Pecking, Jean‐Louis Alberini, D. Vilain, Myriam Wartski, C. Corone, Catherine Tainturier, Elif Hindié and Marie‐Elisabeth Toubert and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.

In The Last Decade

Farid Sarandi

8 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farid Sarandi France	6	183	132	102	64	51	8	309
Georges Baillet France	7	240 1.3×	62 0.5×	96 0.9×	71 1.1×	79 1.5×	12	385
Bahri Çakabay Türkiye	9	55 0.3×	105 0.8×	53 0.5×	58 0.9×	178 3.5×	25	294
Piotr Rudziński Poland	11	57 0.3×	99 0.8×	248 2.4×	90 1.4×	51 1.0×	35	362
Alice Zamagni Italy	9	69 0.4×	96 0.7×	121 1.2×	47 0.7×	68 1.3×	40	271
Ankush Jajodia India	8	118 0.6×	68 0.5×	58 0.6×	15 0.2×	36 0.7×	60	239
Takuo Yamai Japan	12	63 0.3×	200 1.5×	83 0.8×	56 0.9×	122 2.4×	47	324
Víctor A. Marcial-Vega United States	8	68 0.4×	89 0.7×	104 1.0×	15 0.2×	118 2.3×	12	321
Makoto Fujita Japan	9	52 0.3×	74 0.6×	75 0.7×	33 0.5×	143 2.8×	21	367
Yeh You Shen Taiwan	7	130 0.7×	85 0.6×	95 0.9×	31 0.5×	76 1.5×	7	330
Andrew M. Schreiner United States	11	28 0.2×	107 0.8×	138 1.4×	25 0.4×	148 2.9×	20	357

Countries citing papers authored by Farid Sarandi

Since Specialization

Citations

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

Fields of papers citing papers by Farid Sarandi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farid Sarandi

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

All Works

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8 of 8 papers shown

1.

Hindié, Elif, Farid Sarandi, David Groheux, et al.. (2011). Nuclear Medicine in Early-Stage Melanoma: Sentinel Node Biopsy—FDG-PET/CT. PET Clinics. 6(1). 9–25. 4 indexed citations

2.

Hindié, Elif, David Groheux, E. Bourstyn, et al.. (2009). La technique du ganglion sentinelle dans le cancer du sein: quelques considérations récentes. Bulletin du Cancer. 96(6). 713–725. 14 indexed citations

3.

Baillet, Georges, et al.. (2009). Hepatosplenic Candidiasis Imaged With F-18 FDG PET/CT. Clinical Nuclear Medicine. 34(7). 439–440. 28 indexed citations

4.

Groheux, David, Elif Hindié, Christophe Hennequin, et al.. (2009). Intérêts de la TEP-TDM pour le cancer du col de l’utérus. Bulletin du Cancer. 96(2). 199–211. 5 indexed citations

5.

Sarandi, Farid, Elif Hindié, Delphine Kérob, et al.. (2008). Rôle de la TEP-TDM au fluor18-FDG dans la prise en charge initiale et le suivi des mélanomes cutanés. Annales de Dermatologie et de Vénéréologie. 135(10). 691–699. 2 indexed citations

6.

Groheux, David, Jean‐Luc Moretti, Georges Baillet, et al.. (2008). Effect of 18F-FDG PET/CT Imaging in Patients With Clinical Stage II and III Breast Cancer. International Journal of Radiation Oncology*Biology*Physics. 71(3). 695–704. 92 indexed citations

7.

Kérob, Delphine, Florence Pédeutour, Christophe Lebœuf, et al.. (2008). Value of Cytogenetic Analysis in the Treatment of Dermatofibrosarcoma Protuberans. Journal of Clinical Oncology. 26(10). 1757–1759. 20 indexed citations

8.

Gutman, Fabrice, Jean‐Louis Alberini, Myriam Wartski, et al.. (2005). Incidental Colonic Focal Lesions Detected by FDG PET/CT. American Journal of Roentgenology. 185(2). 495–500. 144 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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