J.-D. Doublet

1.5k citations
32 papers · 1.1k · h-index 15

Impact in

Papers in

J.-D. Doublet

29 papers receiving 999 citations

Peers

J.-D. Doublet
Comparison fields: 5 of 58
  • Urology 120
  • Pulmonary and Respiratory Medicine 555
  • Internal Medicine 43
  • Obstetrics and Gynecology 66
  • Rheumatology 115
Replace Joaquim Maurício da Motta-Leal-Filho with:
Joaquim Maurício da Motta-Leal-Filho Brazil
Raymond B. Dyer United States
Joseph J. Del Pizzo United States
Atallah A. Shaaban Egypt
Charles R. Tapping United Kingdom
Joo Won Lim South Korea
Marjorie Hertz Israel
B Williamson United States
Allen J. Cohen United States
Murray J. Mazer United States
J.-D. Doublet relative to Joaquim Maurício da Motta-Leal-Filho Brazil Joaquim Maurício da Motta-Leal-Filho's profile →
Citations per field
00.5×1.5×2.1×
Joaquim Maurício da Motta-Leal-Filho · 1×
Citations per year

Countries citing papers authored by J.-D. Doublet

Since Specialization
Citations

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

Fields of papers citing papers by J.-D. Doublet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J.-D. Doublet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.-D. Doublet Line = papers co-authored together J.-D. Doublet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003372
2 2002184
3 200196
4 200669
5 201462
6 199650
7 200524
8 199723
9 200623
10 199722
11 201219
12 199417
13 200817
14 200616
15 199416
16 199810
17 20158
18 20055
19 20125
20 20135

About J.-D. Doublet

J.-D. Doublet is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Pediatrics, Perinatology and Child Health and Urology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (4 papers), Renal cell carcinoma treatment (3 papers), Pediatric Urology and Nephrology Studies (3 papers), Kidney Stones and Urolithiasis Treatments (3 papers), Minimally Invasive Surgical Techniques (3 papers), Urologic and reproductive health conditions (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Urology (120 citations), Pulmonary and Respiratory Medicine (555 citations), Internal Medicine (43 citations), Obstetrics and Gynecology (66 citations) and Rheumatology (115 citations). J.-D. Doublet has collaborated with scholars based in France, Netherlands and Belgium. Frequent co-authors include Bertrand Guillonneau, G. Vallancien, Xavier Cathelineau, H. Baumert, Gaëlle Fromont, B Gattegno, P Thibault, Mohamed Tligui, S.M. Moudouni and A. Mandressi. Their work appears in journals such as The Journal of Urology, International Journal of Urology, Transplantation, European Urology and World Journal of Surgery.

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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