Luc Mathieu Fornecker

900 total citations
17 papers, 322 citations indexed

About

Luc Mathieu Fornecker is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology. According to data from OpenAlex, Luc Mathieu Fornecker has authored 17 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 6 papers in Genetics and 5 papers in Oncology. Recurrent topics in Luc Mathieu Fornecker's work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Advanced Proteomics Techniques and Applications (3 papers). Luc Mathieu Fornecker is often cited by papers focused on Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Advanced Proteomics Techniques and Applications (3 papers). Luc Mathieu Fornecker collaborates with scholars based in France, Netherlands and Belgium. Luc Mathieu Fornecker's co-authors include Sarah Cianférani, Franck Morschhauser, Charles Herbaux, Roch Houot, Loïc Ysebaert, Pauline Brice, Eileen M. Boyle, Reza Tabrizi, Anne Thiebaut‐Bertrand and Ibrahim Yakoub‐Agha and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Scientific Reports.

In The Last Decade

Luc Mathieu Fornecker

15 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luc Mathieu Fornecker France 7 168 150 100 58 56 17 322
Lisa Musick United States 9 202 1.2× 195 1.3× 55 0.6× 22 0.4× 60 1.1× 27 360
Elena Ribakovsky Israel 8 103 0.6× 78 0.5× 50 0.5× 57 1.0× 53 0.9× 16 211
Katarzyna Kapelko‐Słowik Poland 11 78 0.5× 83 0.6× 85 0.8× 94 1.6× 45 0.8× 25 336
Caylib Durand Canada 9 43 0.3× 85 0.6× 158 1.6× 79 1.4× 83 1.5× 15 328
Jana Mihályová Czechia 7 136 0.8× 57 0.4× 71 0.7× 90 1.6× 49 0.9× 16 251
Manfred Ahlgrimm Germany 8 90 0.5× 58 0.4× 50 0.5× 76 1.3× 56 1.0× 17 272
Harald Aarset Norway 10 144 0.9× 107 0.7× 63 0.6× 181 3.1× 21 0.4× 21 415
Maria Dimou Greece 11 113 0.7× 95 0.6× 79 0.8× 146 2.5× 153 2.7× 51 396
Aurore Touzart France 12 81 0.5× 100 0.7× 59 0.6× 143 2.5× 39 0.7× 24 424
Masa Lasica Australia 11 89 0.5× 130 0.9× 55 0.6× 93 1.6× 178 3.2× 47 323

Countries citing papers authored by Luc Mathieu Fornecker

Since Specialization
Citations

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

Fields of papers citing papers by Luc Mathieu Fornecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luc Mathieu Fornecker. 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 Luc Mathieu Fornecker. The network helps show where Luc Mathieu Fornecker may publish in the future.

Co-authorship network of co-authors of Luc Mathieu Fornecker

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

All Works

17 of 17 papers shown
1.
Aurran‐Schleinitz, Thérèse, Cécile Tomowiak, Damien Roos‐Weil, et al.. (2022). Combined Treatment with Ibrutinib and Anti-CD38 Monoclonal Antibody Daratumumab in Relapsed/Refractory Chronic Lymphocytic Leukemia with TP53 Aberrations: Results of the Filo Phase II Study IDA53. Blood. 140(Supplement 1). 7030–7031. 3 indexed citations
2.
Herbaux, Charles, Olivier Casasnovas, Pierre Feugier, et al.. (2020). Atezolizumab + obinutuzumab + venetoclax in patients with relapsed or refractory diffuse large B-cell Lymphomas (R/R DLBCL): Primary analysis of a phase II trial from LYSA.. Journal of Clinical Oncology. 38(15_suppl). 8053–8053. 13 indexed citations
3.
Guièze, Romain, Loïc Ysebaert, Lysiane Molina, et al.. (2020). Blinatumomab after R-CHOP Debulking Therapy for Patients with Richter Transformation: Preliminary Results of the Multicenter Phase 2 Blinart Trial from the Filo Group. Blood. 136(Supplement 1). 4–5. 2 indexed citations
4.
Rossi, Cédric, Marc André, Catherine Fortpied, et al.. (2019). Stage IIb High Risk Hodgkin Lymphoma Treated in the H10 and AHL2011 Trials: Similar Efficacy of Both Strategies and Prognostic Impact of Baseline Tmtv and PET2 Response. Blood. 134(Supplement_1). 128–128. 1 indexed citations
5.
6.
7.
Fornecker, Luc Mathieu, et al.. (2019). Tube-Gel: A Fast and Effective Sample Preparation Method for High-Throughput Quantitative Proteomics. Methods in molecular biology. 123–127. 1 indexed citations
8.
Fornecker, Luc Mathieu, et al.. (2018). Extended investigation of tube-gel sample preparation: a versatile and simple choice for high throughput quantitative proteomics. Scientific Reports. 8(1). 8260–8260. 9 indexed citations
9.
Tavernier, Emmanuelle, Frédérique Kuhnowski, Jérôme Tamburini, et al.. (2018). Sinusoidal Obstruction Syndrom (SOS): Warning about Autologous Stem Cell Transplantation (ASCT) Preceded By Regimens Containing Oxaliplatin. Blood. 132(Supplement 1). 4597–4597.
10.
Herbaux, Charles, Jordan Gauthier, Pauline Brice, et al.. (2017). Efficacy and tolerability of nivolumab after allogeneic transplantation for relapsed Hodgkin lymphoma. Blood. 129(18). 2471–2478. 160 indexed citations
11.
Fornecker, Luc Mathieu, et al.. (2016). Benchmarking sample preparation/digestion protocols reveals tube‐gel being a fast and repeatable method for quantitative proteomics. PROTEOMICS. 16(23). 2953–2961. 17 indexed citations
12.
Barthélémy, Philippe, Nicolás Meyer, Brigitte Duclos, et al.. (2014). Adherence and Patients' Attitudes to Oral Anticancer Drugs: A Prospective Series of 201 Patients Focusing on Targeted Therapies. Oncology. 88(1). 1–8. 27 indexed citations
13.
Neste, Eric Van Den, Olivier Casasnovas, Marc André, et al.. (2013). Classical Hodgkin's lymphoma: the Lymphoma Study Association guidelines for relapsed and refractory adult patients eligible for transplant. Haematologica. 98(8). 1185–1195. 35 indexed citations
14.
Lefrère, François, Olivier Héquet, Philippe Bourin, et al.. (2012). Impact of rituximab on stem cell mobilization following ACVBP regimen in poor‐risk patients with diffuse large B‐cell lymphoma: results from a large cohort of patients. Transfusion. 53(1). 115–122. 3 indexed citations
15.
Michallet, Anne‐Sophie, Pierre Feugier, Alain Delmer, et al.. (2012). Specific Treatment Modalities for Elderly Patients with Chronic Lymphocytic Leukemia. Aging Health. 8(3). 317–322. 3 indexed citations
16.
Miguet, Laurent, Guillaume Béchade, Luc Mathieu Fornecker, et al.. (2009). Proteomic Analysis of Malignant B-Cell Derived Microparticles Reveals CD148 as a Potentially Useful Antigenic Biomarker for Mantle Cell Lymphoma Diagnosis. Journal of Proteome Research. 8(11). 5406–5406. 3 indexed citations
17.
Miguet, Laurent, Guillaume Béchade, Luc Mathieu Fornecker, et al.. (2009). Proteomic Analysis of Malignant B-Cell Derived Microparticles Reveals CD148 as a Potentially Useful Antigenic Biomarker for Mantle Cell Lymphoma Diagnosis. Journal of Proteome Research. 8(7). 3346–3354. 44 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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