N. Doumerc

3.1k total citations
98 papers, 1.6k citations indexed

About

N. Doumerc is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, N. Doumerc has authored 98 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Pulmonary and Respiratory Medicine, 42 papers in Surgery and 27 papers in Public Health, Environmental and Occupational Health. Recurrent topics in N. Doumerc's work include Renal and Vascular Pathologies (37 papers), Renal cell carcinoma treatment (36 papers) and Bladder and Urothelial Cancer Treatments (26 papers). N. Doumerc is often cited by papers focused on Renal and Vascular Pathologies (37 papers), Renal cell carcinoma treatment (36 papers) and Bladder and Urothelial Cancer Treatments (26 papers). N. Doumerc collaborates with scholars based in France, Italy and Spain. N. Doumerc's co-authors include Bernard Malavaud, P. Rischmann, Olivier Cuvillier, Muriel Golzio, Dmitri Pchejetski, Justin Teissié, Catherine Mazerolles, Karim Bensalah, Morgan Rouprêt and F. Bruyère and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

N. Doumerc

87 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
N. Doumerc 749 735 486 289 280 98 1.6k
Silvano Palazzo 376 0.5× 272 0.4× 274 0.6× 103 0.4× 17 0.1× 45 1.0k
Steve White 159 0.2× 278 0.4× 651 1.3× 93 0.3× 65 0.2× 48 1.3k
Masaharu Nishikido 403 0.5× 337 0.5× 326 0.7× 55 0.2× 11 0.0× 58 1.0k
Kevin Li 72 0.1× 627 0.9× 151 0.3× 151 0.5× 61 0.2× 50 1.5k
Amélie Dendooven 151 0.2× 351 0.5× 175 0.4× 62 0.2× 15 0.1× 61 873
Amir V. Kaisary 775 1.0× 223 0.3× 236 0.5× 83 0.3× 24 0.1× 61 1.3k
Kenichiro Miura 145 0.2× 529 0.7× 60 0.1× 65 0.2× 45 0.2× 81 1.3k
Maddalena Gigante 165 0.2× 308 0.4× 189 0.4× 22 0.1× 32 0.1× 44 938
Xiaozhou He 236 0.3× 292 0.4× 193 0.4× 30 0.1× 26 0.1× 43 880
Claudio F. Feo 330 0.4× 343 0.5× 443 0.9× 15 0.1× 36 0.1× 83 1.1k

Countries citing papers authored by N. Doumerc

Since Specialization
Citations

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

Fields of papers citing papers by N. Doumerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Doumerc

This figure shows the co-authorship network connecting the top 25 collaborators of N. Doumerc. A scholar is included among the top collaborators of N. Doumerc 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 N. Doumerc. N. Doumerc 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.
Bigot, P., Romain Boissier, Z. Khene, et al.. (2024). French AFU Cancer Committee Guidelines – Update 2024–2026: Management of kidney cancer. PubMed. 34(12). 102735–102735. 2 indexed citations
2.
Bigot, Pierre, Karim Bensalah, Arnaud Méjean, et al.. (2024). UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120). npj Precision Oncology. 8(1). 45–45. 7 indexed citations
3.
Péricart, Sarah, R. Aziza, D. Portalez, et al.. (2023). Significant prostate cancer risk after MRI-guided biopsy showing benign findings: Results from a cohort of 381 men. PubMed. 34(1). 102547–102547.
4.
Bigot, Pierre, Jean‐Christophe Bernhard, Z. Khene, et al.. (2023). Nephrectomy for kidney tumour increases the risk of de novo arterial hypertension. British Journal of Urology. 132(5). 575–580. 3 indexed citations
5.
6.
Diana, Pietro, Alberto Breda, Angelo Territo, et al.. (2021). Intracorporeal versus extracorporeal robot-assisted kidney auto transplantation: Experience of the ERUS RAKT working group. European Urology Open Science. 33. S87–S87. 1 indexed citations
7.
Khene, Z., Alessandro Larcher, Jean‐Christophe Bernhard, et al.. (2021). External Validation of the ASSURE Model for Predicting Oncological Outcomes After Resection of High-risk Renal Cell Carcinoma (RESCUE Study: UroCCR 88). European Urology Open Science. 33. 89–93. 11 indexed citations
8.
Khene, Z., B. Peyronnet, N. Doumerc, et al.. (2021). Adherent perinephric fat affects perioperative outcomes after partial nephrectomy: a systematic review and meta-analysis. International Journal of Clinical Oncology. 26(4). 636–646. 9 indexed citations
9.
Khene, Z., Alessandro Larcher, B. Peyronnet, et al.. (2021). Predicting Complications After Robotic Partial Nephrectomy: Back to Simplicity. European Urology Focus. 8(3). 777–783. 9 indexed citations
10.
Campi, Riccardo, Graziano Vignolini, Karel Decaestecker, et al.. (2020). Robot-assisted kidney transplantation (RAKT) from living donors using right- versus left-sided grafts: Results from the EAU Robotic Urology Section (ERUS)-RAKT working group. European Urology Open Science. 19. e1448–e1449. 1 indexed citations
11.
Khene, Z., B. Peyronnet, Jean‐Christophe Bernhard, et al.. (2019). A preoperative nomogram to predict major complications after robot assisted partial nephrectomy (UroCCR-57 study). Urologic Oncology Seminars and Original Investigations. 37(9). 577.e1–577.e7. 7 indexed citations
12.
13.
Decaestecker, Karel, N. Doumerc, Liesbeth Desender, et al.. (2018). Robot-assisted Kidney Autotransplantation: A Minimally Invasive Way to Salvage Kidneys. European Urology Focus. 4(2). 198–205. 26 indexed citations
14.
Doumerc, N., Jean‐Baptiste Beauval, M. Roumiguié, et al.. (2018). Total intracorporeal robotic renal auto-transplantation. International Journal of Surgery Case Reports. 49(C). 176–179. 9 indexed citations
15.
Beauval, Jean‐Baptiste, M. Roumiguié, M. Ouali, et al.. (2015). Étude prospective monocentrique comparant la prostatectomie totale rétropubienne à la laparoscopie robot-assistée : résultats carcinologiques et fonctionnels d’une série consécutive. Progrès en Urologie. 25(7). 370–378. 10 indexed citations
16.
Peyronnet, B., Emmanuel Oger, Z. Khene, et al.. (2015). The use of hemostatic agents does not prevent hemorrhagic complications of robotic partial nephrectomy. World Journal of Urology. 33(11). 1815–1820. 14 indexed citations
17.
Benoit, T., M. Roumiguié, N. Doumerc, et al.. (2014). Une taille tumorale supérieure à 7 cm influence-t-elle les résultats de la néphrectomie partielle pour tumeur du rein ?. Progrès en Urologie. 25(3). 138–144. 6 indexed citations
18.
Pchejetski, Dmitri, Torsten Böhler, Leyre Brizuela, et al.. (2010). FTY720 (Fingolimod) Sensitizes Prostate Cancer Cells to Radiotherapy by Inhibition of Sphingosine Kinase-1. Cancer Research. 70(21). 8651–8661. 124 indexed citations
19.
Pchejetski, Dmitri, N. Doumerc, Muriel Golzio, et al.. (2008). Chemosensitizing effects of sphingosine kinase-1 inhibition in prostate cancer cell and animal models. Molecular Cancer Therapeutics. 7(7). 1836–1845. 98 indexed citations
20.
Guillotreau, J., X. Gamé, Marc Mouzin, et al.. (2008). Radical Cystectomy for Bladder Cancer: Morbidity of Laparoscopic Versus Open Surgery. The Journal of Urology. 181(2). 554–559. 61 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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