Stéphanie Ducreux

669 total citations
9 papers, 311 citations indexed

About

Stéphanie Ducreux is a scholar working on Transplantation, Surgery and Hematology. According to data from OpenAlex, Stéphanie Ducreux has authored 9 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Transplantation, 4 papers in Surgery and 3 papers in Hematology. Recurrent topics in Stéphanie Ducreux's work include Renal Transplantation Outcomes and Treatments (7 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Liver Disease and Transplantation (2 papers). Stéphanie Ducreux is often cited by papers focused on Renal Transplantation Outcomes and Treatments (7 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Liver Disease and Transplantation (2 papers). Stéphanie Ducreux collaborates with scholars based in France and United States. Stéphanie Ducreux's co-authors include Valérie Dubois, Jean‐Yves Scoazec, Emmanuel Morélon, Olivier Thaunat, A Sicard, Maud Rabeyrin, Lionel Badet, Brigitte McGregor, Véronique Frémeaux‐Bacchi and Jonathan Visentin and has published in prestigious journals such as Blood, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Stéphanie Ducreux

8 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphanie Ducreux France 7 282 188 108 66 50 9 311
Flavia Sequeira United States 4 309 1.1× 180 1.0× 178 1.6× 107 1.6× 18 0.4× 8 374
Lam Chin Tan United Kingdom 10 254 0.9× 164 0.9× 74 0.7× 82 1.2× 16 0.3× 20 337
Sandra Tafulo Portugal 12 275 1.0× 183 1.0× 74 0.7× 63 1.0× 10 0.2× 35 329
Érika F. Campos Brazil 10 240 0.9× 117 0.6× 61 0.6× 41 0.6× 10 0.2× 17 311
Meghan Pearl United States 7 158 0.6× 119 0.6× 56 0.5× 40 0.6× 8 0.2× 20 211
Bhavna Chopra United States 10 279 1.0× 193 1.0× 27 0.3× 50 0.8× 27 0.5× 30 341
Michael Parkes Canada 8 229 0.8× 214 1.1× 96 0.9× 33 0.5× 6 0.1× 14 344
Miguel Ángel Pérez Valdivia Spain 9 87 0.3× 50 0.3× 27 0.3× 63 1.0× 73 1.5× 31 227
Nubia Bañuelos United States 7 530 1.9× 509 2.7× 83 0.8× 17 0.3× 306 6.1× 9 619
TE Starzl United States 7 112 0.4× 116 0.6× 51 0.5× 53 0.8× 32 0.6× 20 276

Countries citing papers authored by Stéphanie Ducreux

Since Specialization
Citations

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

Fields of papers citing papers by Stéphanie Ducreux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphanie Ducreux

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

All Works

9 of 9 papers shown
1.
Barba, Thomas, Jean Harb, Stéphanie Ducreux, et al.. (2019). Highly Variable Sialylation Status of Donor-Specific Antibodies Does Not Impact Humoral Rejection Outcomes. Frontiers in Immunology. 10. 513–513. 9 indexed citations
2.
Ducreux, Stéphanie, Alexie Bosch, Olivier Guillaud, et al.. (2018). Prevalence, Risk Factors, and Impact of Donor‐Specific Alloantibodies After Adult Liver Transplantation. Liver Transplantation. 24(8). 1091–1100. 42 indexed citations
3.
Sicard, A, Vannary Meas‐Yedid, Maud Rabeyrin, et al.. (2017). Computer-assisted topological analysis of renal allograft inflammation adds to risk evaluation at diagnosis of humoral rejection. Kidney International. 92(1). 214–226. 23 indexed citations
4.
Rivet, Christine, Stéphanie Ducreux, Jérôme Dumortier, et al.. (2017). Deleterious impact of C3d-binding donor-specific anti-HLA antibodies after pediatric liver transplantation. Transplant Immunology. 45. 8–14. 21 indexed citations
5.
Ducreux, Stéphanie, Olivier Guillaud, Alexie Bosch, et al.. (2016). Monitoring efficiency of humoral rejection episode therapy in liver transplantation: any role for complement binding Luminex Single Antigen assays?. Transplant Immunology. 35. 23–28. 10 indexed citations
7.
Sicard, A, Stéphanie Ducreux, Maud Rabeyrin, et al.. (2014). Detection of C3d-Binding Donor-Specific Anti-HLA Antibodies at Diagnosis of Humoral Rejection Predicts Renal Graft Loss. Journal of the American Society of Nephrology. 26(2). 457–467. 197 indexed citations
8.
Ducreux, Stéphanie, et al.. (2014). Three new HLA‐B alleles determined by sequence‐based typing: B*15:222, B*15:247, B*27:92. Tissue Antigens. 83(5). 361–363.
9.
Sicard, A, Stéphanie Ducreux, Maud Rabeyrin, et al.. (2014). Detection of C3d-Binding Donor-Specific Anti-HLA Antibodies at Diagnosis of Humoral Rejection Predicts Renal Graft Loss.. Transplantation. 98. 2–3. 8 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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