Maja Ludvigsen

990 total citations
59 papers, 546 citations indexed

About

Maja Ludvigsen is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Maja Ludvigsen has authored 59 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pathology and Forensic Medicine, 16 papers in Molecular Biology and 16 papers in Oncology. Recurrent topics in Maja Ludvigsen's work include Lymphoma Diagnosis and Treatment (25 papers), Acute Myeloid Leukemia Research (12 papers) and Chronic Lymphocytic Leukemia Research (6 papers). Maja Ludvigsen is often cited by papers focused on Lymphoma Diagnosis and Treatment (25 papers), Acute Myeloid Leukemia Research (12 papers) and Chronic Lymphocytic Leukemia Research (6 papers). Maja Ludvigsen collaborates with scholars based in Denmark, United States and Finland. Maja Ludvigsen's co-authors include Bent Honoré, Francesco d’Amore, Stephen Hamilton‐Dutoit, Peter Kamper, Michael Møller, Knud Bendix, Henrik Vorum, Gabriel A. Rabinovich, Trine Lindhardt Plesner and Jens Randel Nyengaard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Maja Ludvigsen

57 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maja Ludvigsen Denmark 13 219 174 158 143 90 59 546
Jonathan A. Schumacher United States 11 137 0.6× 122 0.7× 62 0.4× 65 0.5× 89 1.0× 25 374
Łukasz Bołkuń Poland 14 187 0.9× 78 0.4× 160 1.0× 158 1.1× 181 2.0× 52 510
Ludovic Lhermitte France 18 273 1.2× 194 1.1× 173 1.1× 414 2.9× 259 2.9× 47 932
Francesco Boccalatte United States 12 536 2.4× 102 0.6× 193 1.2× 156 1.1× 118 1.3× 21 804
Guenther Stockhammer Austria 11 194 0.9× 50 0.3× 139 0.9× 198 1.4× 67 0.7× 24 726
Jennifer Fraszczak Canada 13 201 0.9× 45 0.3× 117 0.7× 415 2.9× 128 1.4× 23 725
Sabrina Bossio Italy 11 207 0.9× 51 0.3× 251 1.6× 292 2.0× 56 0.6× 30 601
Yong Yu China 14 200 0.9× 122 0.7× 130 0.8× 63 0.4× 41 0.5× 55 483
Laurianne Scourzic France 8 287 1.3× 193 1.1× 157 1.0× 154 1.1× 61 0.7× 9 545
Antonia Rodríguez Spain 10 269 1.2× 284 1.6× 179 1.1× 99 0.7× 130 1.4× 14 595

Countries citing papers authored by Maja Ludvigsen

Since Specialization
Citations

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

Fields of papers citing papers by Maja Ludvigsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Ludvigsen

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Ludvigsen. A scholar is included among the top collaborators of Maja Ludvigsen 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 Maja Ludvigsen. Maja Ludvigsen 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.
Andersen, Maja Dam, Katharina Wolter, Stephen Hamilton‐Dutoit, et al.. (2024). Proteomic profiling identifies classic Hodgkin lymphoma patients at risk of bleomycin pulmonary toxicity. Leukemia & lymphoma. 66(4). 656–667.
2.
Wolter, Katharina, Maja Dam Andersen, Charlotte Madsen, et al.. (2024). Differential tumor protein expression at follicular lymphoma diagnosis reveals dysregulation of key molecular pathways associated with histological transformation. Scientific Reports. 14(1). 29962–29962. 1 indexed citations
3.
Wolter, Katharina, Svend Erik Mouridsen, Magnus Stougaard, et al.. (2024). Assessing Lipid Nanoparticle RNA Delivery Including CRISPR-Cas9 Based Therapy to Bone Marrow Cells with Emphasis on Leukemic Blasts - a Proof-of-Principle Study. Blood. 144(Supplement 1). 7451–7451. 3 indexed citations
4.
Hamilton‐Dutoit, Stephen, et al.. (2024). Proteomic Profiling Identifies Predictive Signatures for Progression Risk in Patients with Advanced-Stage Follicular Lymphoma. Cancers. 16(19). 3278–3278. 3 indexed citations
5.
Møller, Charlotte, Zongliang Gao, Rasmus O. Bak, et al.. (2023). Dual intron-targeted CRISPR-Cas9-mediated disruption of the AML RUNX1-RUNX1T1 fusion gene effectively inhibits proliferation and decreases tumor volume in vitro and in vivo. Leukemia. 37(9). 1792–1801. 12 indexed citations
6.
Andersen, Maja Dam, Charlotte Bernhard Madsen, Bent Honoré, et al.. (2023). IDO1 Protein Is Expressed in Diagnostic Biopsies from Both Follicular and Transformed Follicular Patients. International Journal of Molecular Sciences. 24(8). 7314–7314. 2 indexed citations
7.
Wolter, Katharina, Amanda Campbell, Maja Dam Andersen, et al.. (2023). Proteomics identifies apoptotic markers as predictors of histological transformation in patients with follicular lymphoma. Blood Advances. 7(24). 7418–7432. 8 indexed citations
8.
Leivonen, Suvi‐Katri, Maja Ludvigsen, Harald Holte, et al.. (2021). Soluble PD-1 but Not PD-L1 Levels Predict Poor Outcome in Patients with High-Risk Diffuse Large B-Cell Lymphoma. Cancers. 13(3). 398–398. 18 indexed citations
9.
Ludvigsen, Maja, et al.. (2021). Proteomic Characterization of Colorectal Cancer Tissue from Patients Identifies Novel Putative Protein Biomarkers. Current Issues in Molecular Biology. 43(2). 1043–1056. 3 indexed citations
10.
Monrad, Ida, Charlotte Bernhard Madsen, Bent Honoré, et al.. (2021). PD-1 Expression in Pre-Treatment Follicular Lymphoma Predicts the Risk of Subsequent High-Grade Transformation. OncoTargets and Therapy. Volume 14. 481–489. 13 indexed citations
11.
Aggerholm, Anni, Gitte Kerndrup, Marcus Høy Hansen, et al.. (2020). Clonal hematopoiesis predicts development of therapy-related myeloid neoplasms post–autologous stem cell transplantation. Blood Advances. 4(5). 885–892. 31 indexed citations
12.
Wiggers, Henrik, Maja Ludvigsen, Allan Stensballe, et al.. (2020). Towards identification of novel putative biomarkers for infective endocarditis by serum proteomic analysis. International Journal of Infectious Diseases. 96. 73–81. 12 indexed citations
13.
Knudsen, Anders Riegels, Kasper Jarlhelt Andersen, Maja Ludvigsen, et al.. (2019). Perturbations of urea cycle enzymes during posthepatectomy rat liver failure. American Journal of Physiology-Gastrointestinal and Liver Physiology. 317(4). G429–G440. 2 indexed citations
14.
Ludvigsen, Maja, Martin Bjerregård Pedersen, Tim Svenstrup Poulsen, et al.. (2018). Proteomic profiling identifies outcome-predictive markers in patients with peripheral T-cell lymphoma, not otherwise specified. Blood Advances. 2(19). 2533–2542. 13 indexed citations
15.
Plesner, Trine Lindhardt, Martin Bjerregård Pedersen, Maja Ludvigsen, et al.. (2017). Lympho- and Myeloproliferative Malignancies Occurring in the Same Host: Description of a Nationwide Discovery Cohort. 1 indexed citations
16.
Leivonen, Suvi‐Katri, Amjad Alkodsi, Alejandra Cervera, et al.. (2017). MicroRNAs regulate key cell survival pathways and mediate chemosensitivity during progression of diffuse large B-cell lymphoma. Blood Cancer Journal. 7(12). 654–654. 28 indexed citations
17.
Ludvigsen, Maja, Knud Bendix, Stephen Hamilton‐Dutoit, et al.. (2017). Predictive value of galectin-1 in the development and progression of HIV-associated lymphoma. AIDS. 31(16). 2311–2313. 3 indexed citations
18.
Ludvigsen, Maja, et al.. (2015). A systematic review of biomarkers in the diagnosis of infective endocarditis. International Journal of Cardiology. 202. 564–570. 24 indexed citations
19.
20.
Ludvigsen, Maja, Morten Østergaard, Henrik Vorum, Christian Jacobsen, & Bent Honoré. (2009). Identification and characterization of endonuclein binding proteins: evidence of modulatory effects on signal transduction and chaperone activity. BMC Biochemistry. 10(1). 34–34. 4 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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