D Vadrot

1.2k total citations
46 papers, 836 citations indexed

About

D Vadrot is a scholar working on Surgery, Reproductive Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, D Vadrot has authored 46 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 12 papers in Reproductive Medicine and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in D Vadrot's work include Ovarian cancer diagnosis and treatment (12 papers), Soft tissue tumor case studies (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). D Vadrot is often cited by papers focused on Ovarian cancer diagnosis and treatment (12 papers), Soft tissue tumor case studies (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). D Vadrot collaborates with scholars based in France, United States and Lebanon. D Vadrot's co-authors include M. Ghossain, Jean Noël Buy, D. Hugol, L Malbec, C. Guinet, C Sciot, Jean‐Noël Buy, P Poitout, J B Truc and AA Moss and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

In The Last Decade

D Vadrot

41 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D Vadrot France 16 401 382 199 161 131 46 836
Jean Noël Buy France 16 392 1.0× 654 1.7× 403 2.0× 154 1.0× 128 1.0× 30 1.0k
Dennis A. Sarti United States 14 326 0.8× 175 0.5× 169 0.8× 82 0.5× 63 0.5× 27 680
Laura Buñesch Spain 17 303 0.8× 307 0.8× 322 1.6× 302 1.9× 171 1.3× 31 911
F. Romano Italy 15 311 0.8× 144 0.4× 247 1.2× 115 0.7× 43 0.3× 42 828
Isabel C. Yoder United States 19 376 0.9× 92 0.2× 222 1.1× 388 2.4× 68 0.5× 50 929
Takeshi Yoshizako Japan 13 231 0.6× 152 0.4× 124 0.6× 272 1.7× 237 1.8× 64 728
Nancy O. Whitley United States 16 268 0.7× 77 0.2× 126 0.6× 232 1.4× 122 0.9× 41 728
Clarisse Lafont France 9 193 0.5× 434 1.1× 386 1.9× 227 1.4× 80 0.6× 13 809
J. McHugo United Kingdom 13 197 0.5× 139 0.4× 264 1.3× 106 0.7× 132 1.0× 28 610
F McGlynn United States 13 457 1.1× 362 0.9× 410 2.1× 115 0.7× 22 0.2× 17 909

Countries citing papers authored by D Vadrot

Since Specialization
Citations

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

Fields of papers citing papers by D Vadrot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Vadrot

This figure shows the co-authorship network connecting the top 25 collaborators of D Vadrot. A scholar is included among the top collaborators of D Vadrot 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 D Vadrot. D Vadrot 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.
Revel, Marie‐Pierre, Marie-Laure Chabi, Étienne Audureau, et al.. (2015). Solitary fibrous tumor of the pleura: Can computed tomography features help predict malignancy? A series of 56 patients with histopathological correlates. Diagnostic and Interventional Imaging. 97(3). 347–353. 15 indexed citations
2.
Rousset, Pascal, Étienne Audureau, Caroline Rey‐Salmon, et al.. (2013). Detection of residual packets in cocaine body packers: low accuracy of abdominal radiography—a prospective study. European Radiology. 23(8). 2146–2155. 17 indexed citations
3.
Rousset, Pascal, V. Delmas, Jean‐Noël Buy, et al.. (2012). In vivo visualization of the levator ani muscle subdivisions using MR fiber tractography with diffusion tensor imaging. Journal of Anatomy. 221(3). 221–228. 24 indexed citations
4.
Rousset, Pascal, Jean Noël Buy, Bruno Deval, et al.. (2011). In Vivo 3D representation of the Levator Ani Muscle Using Diffusion Tensor Imaging with fiber tractography: Initial Results. Neurourology and Urodynamics.
5.
Bouillot, Jean‐Luc, et al.. (2001). Suspicion d’appendicite aiguë. Intérêt de l’examen tomodensitométrique hélicoïdal. Étude prospective chez 100 patients. Annales de Chirurgie. 126(5). 427–433. 11 indexed citations
6.
Gorin, I., et al.. (2001). [Androgenic alopecia revealing an androgen secreting ovarian tumor].. PubMed. 128(11). 1241–4. 5 indexed citations
7.
Ghossain, M., Jean‐Noël Buy, Denis Jacob, et al.. (1998). Hyperreactio luteinalis in a normal pregnancy: Sonographic and MRI findings. Journal of Magnetic Resonance Imaging. 8(6). 1203–1206. 32 indexed citations
8.
Ghossain, M., et al.. (1998). MR and CT findings in a case of hibernoma of the thigh extending into the pelvis. European Radiology. 8(3). 476–478. 23 indexed citations
9.
Ghossain, M., A. Achkar, Jean‐Noël Buy, J Rochemaure, & D Vadrot. (1997). Case Report. Swyer-James Syndrome Documented by Spiral CT Angiography and High Resolution Inspiratory and Expiratory CT: An Accurate Single Modality Exploration. Journal of Computer Assisted Tomography. 21(4). 616–618. 14 indexed citations
10.
Buy, Jean Noël, M. Ghossain, D. Hugol, et al.. (1996). Characterization of adnexal masses: combination of color Doppler and conventional sonography compared with spectral Doppler analysis alone and conventional sonography alone.. American Journal of Roentgenology. 166(2). 385–393. 94 indexed citations
11.
Guinet, C., M. Ghossain, L Malbec, et al.. (1995). Mature cystic teratomas of the ovary: CT and MR findings. European Journal of Radiology. 20(2). 137–143. 46 indexed citations
12.
Ghossain, M., Jean‐Noël Buy, Marc Bazot, et al.. (1994). CT in Adnexal Torsion with Emphasis on Tubal Findings. Journal of Computer Assisted Tomography. 18(4). 619–625. 49 indexed citations
13.
Guinet, C., Jean‐Noël Buy, M. Ghossain, et al.. (1993). Fat suppression techniques in MR imaging of mature ovarian teratomas: comparison with CT. European Journal of Radiology. 17(2). 117–121. 15 indexed citations
14.
Bazot, Marc, M. Ghossain, Jean Noël Buy, et al.. (1993). Fibrothecomas of the Ovary. Journal of Computer Assisted Tomography. 17(5). 754–759. 57 indexed citations
15.
Buy, Jean Noël, M. Ghossain, D. Hugol, et al.. (1992). Focal hyperdense areas in endometriomas: a characteristic finding on CT.. American Journal of Roentgenology. 159(4). 769–771. 29 indexed citations
16.
Guinet, C., Jean‐Noël Buy, A Sézeur, et al.. (1988). Preoperative Assessment of the Extension of Rectal Carcinoma. Journal of Computer Assisted Tomography. 12(2). 209–214. 40 indexed citations
17.
Buy, Jean‐Noël, M. Ghossain, Marc Bazot, et al.. (1988). Computed Tomography of Mediastinal Lymph Nodes in Nonsmall Cell Lung Cancer A New Approach Based on the Lymphatic Pathway of Tumor Spread. Journal of Computer Assisted Tomography. 12(4). 545–552. 22 indexed citations
18.
Buy, Jean Noël, AA Moss, M. Ghossain, et al.. (1988). Peritoneal implants from ovarian tumors: CT findings.. Radiology. 169(3). 691–694. 86 indexed citations
19.
Laval-Jeantet, M, et al.. (1979). [Macrodystrophia lipomatosa. Angiographic aspects (author's transl)].. PubMed. 60(10). 653–6. 1 indexed citations
20.
Doyon, D, et al.. (1975). Embolisation transhépatique des varices oesophagiennes. 56(12). 2 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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