Jakob Madsen

445 total citations
19 papers, 302 citations indexed

About

Jakob Madsen is a scholar working on Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jakob Madsen has authored 19 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 5 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jakob Madsen's work include Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (3 papers) and CNS Lymphoma Diagnosis and Treatment (3 papers). Jakob Madsen is often cited by papers focused on Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (3 papers) and CNS Lymphoma Diagnosis and Treatment (3 papers). Jakob Madsen collaborates with scholars based in Denmark and United States. Jakob Madsen's co-authors include Karen Dybkær, Niels Ejskjær, Paw Jensen, Martin Bøgsted, Tarec Christoffer El‐Galaly, Niels T. Pedersen, Lene Dissing Sjø, Steffen Heegaard, Jan Ulrik Prause and Jørgen Holm Petersen and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Investigative Ophthalmology & Visual Science and BMC Health Services Research.

In The Last Decade

Jakob Madsen

17 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakob Madsen Denmark 9 168 129 67 54 38 19 302
Jean-François Larouche Canada 8 163 1.0× 118 0.9× 46 0.7× 17 0.3× 84 2.2× 22 273
Abhijeet Kumar United States 9 105 0.6× 166 1.3× 31 0.5× 78 1.4× 146 3.8× 38 352
Renata Pacholczak‐Madej Poland 11 59 0.4× 100 0.8× 12 0.2× 61 1.1× 11 0.3× 46 274
Simone M. Mrotzek Germany 10 41 0.2× 174 1.3× 12 0.2× 66 1.2× 11 0.3× 15 414
C Boaziz France 8 90 0.5× 326 2.5× 17 0.3× 118 2.2× 13 0.3× 20 382
Philipp Berning Germany 9 67 0.4× 80 0.6× 19 0.3× 43 0.8× 29 0.8× 21 238
Henry T. Quach United States 8 34 0.2× 502 3.9× 80 1.2× 152 2.8× 89 2.3× 12 625
Antonino Cassata Italy 9 47 0.3× 220 1.7× 6 0.1× 54 1.0× 10 0.3× 21 292
Jeryl Villadolid United States 4 29 0.2× 311 2.4× 15 0.2× 77 1.4× 33 0.9× 4 398

Countries citing papers authored by Jakob Madsen

Since Specialization
Citations

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

Fields of papers citing papers by Jakob Madsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakob Madsen

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

All Works

19 of 19 papers shown
1.
Jakobsen, Lasse, Martin Bøgsted, Henrik Gregersen, et al.. (2024). Socioeconomic Status and Overall Survival Among Patients With Hematological Malignant Neoplasms. JAMA Network Open. 7(3). e241112–e241112. 8 indexed citations
2.
Jakobsen, Lasse Hjort, Kristian Kragholm, Joachim Bæch, et al.. (2023). Work Disability and Return to Work After Lymphoma: A Danish Nationwide Cohort Study. Clinical Epidemiology. Volume 15. 337–348. 4 indexed citations
3.
Bødker, Julie Støve, Mads Sønderkær, Alexander Schmitz, et al.. (2020). Development of a Precision Medicine Workflow in Hematological Cancers, Aalborg University Hospital, Denmark. Cancers. 12(2). 312–312. 8 indexed citations
4.
Jensen, Paw, Rasmus Froberg Brøndum, Martin Bøgsted, et al.. (2020). Shared care follow-up of patients with B-cell neoplasms based on nurse-led telephone consultations and PRO-data: a feasibility study from the North Denmark Region. BMC Health Services Research. 20(1). 1047–1047. 2 indexed citations
5.
Clausen, Michael Roost, Sinna Pilgaard Ulrichsen, Maja Bech Juul, et al.. (2020). Prognostic significance of infectious episodes occurring during first‐line therapy for diffuse large B‐cell lymphoma ‐ A nationwide cohort study. Hematological Oncology. 38(3). 318–325. 3 indexed citations
6.
Clausen, Michael Roost, Matthew J. Maurer, Sinna Pilgaard Ulrichsen, et al.. (2019). <p>Pretreatment Hemoglobin Adds Prognostic Information To The NCCN-IPI In Patients With Diffuse Large B-Cell Lymphoma Treated With Anthracycline-Containing Chemotherapy</p>. Clinical Epidemiology. Volume 11. 987–996. 7 indexed citations
7.
Ejskjær, Niels, et al.. (2019). Aspects of vincristine-induced neuropathy in hematologic malignancies: a systematic review. Cancer Chemotherapy and Pharmacology. 84(3). 471–485. 87 indexed citations
8.
Clausen, Michael Roost, Sinna Pilgaard Ulrichsen, Thomas Stauffer Larsen, et al.. (2019). Depth of neutrophil nadir after first cycle of R-CHOP predicts outcome in diffuse large B-cell lymphoma – a nationwide population-based cohort study. Leukemia & lymphoma. 60(8). 1950–1957.
9.
Bendtsen, Mette Dahl, et al.. (2016). Incidence of venous thromboembolism in patients with diffuse large B-cell lymphoma. Leukemia & lymphoma. 57(12). 2771–2776. 22 indexed citations
10.
Nørgaard, Martin, Martin Bøgsted, Alexander Schmitz, et al.. (2016). Characterization of memory B cells from thymus and its impact for DLBCL classification. Experimental Hematology. 44(10). 982–990.e11. 2 indexed citations
11.
El‐Galaly, Tarec Christoffer, Martin Bjerregård Pedersen, Martin Hutchings, et al.. (2015). Utility of interim and end‐of‐treatment PET/CT in peripheral T‐cell lymphomas: A review of 124 patients. American Journal of Hematology. 90(11). 975–980. 43 indexed citations
12.
Laursen, Maria Bach, Steffen Falgreen, Julie Støve Bødker, et al.. (2014). Human B-cell cancer cell lines as a preclinical model for studies of drug effect in diffuse large B-cell lymphoma and multiple myeloma. Experimental Hematology. 42(11). 927–938. 12 indexed citations
13.
Pedersen, Martin Bjerregård, Stephen Hamilton‐Dutoit, Knud Bendix, et al.. (2014). Evaluation of clinical trial eligibility and prognostic indices in a population‐based cohort of systemic peripheral T‐cell lymphomas from the Danish Lymphoma Registry. Hematological Oncology. 33(4). 120–128. 8 indexed citations
14.
El‐Galaly, Tarec Christoffer, Vineet Prakash, Ilse Christiansen, et al.. (2011). Efficacy of routine surveillance with positron emission tomography/computed tomography in aggressive non-Hodgkin lymphoma in complete remission: status in a single center. Leukemia & lymphoma. 52(4). 597–603. 34 indexed citations
15.
Sjø, Lene Dissing, Elisabeth Ralfkiær, Jan Ulrik Prause, et al.. (2008). Increasing Incidence of Ophthalmic Lymphoma in Denmark from 1980 to 2005. Investigative Ophthalmology & Visual Science. 49(8). 3283–3283. 53 indexed citations
16.
Madsen, Jakob, et al.. (2002). A 2.5 gb/s GaAs ATM Mux Demux ASIC. 43–46. 1 indexed citations
17.
Madsen, Jakob & S.I. Long. (2002). A high-speed interconnect network using ternary logic. 3. 2–7. 4 indexed citations
18.
19.
Madsen, Jakob, et al.. (1996). A 2.5 Gb/s ATM add-drop unit for B-ISDN based on a GaAs LSI. IEEE Journal of Solid-State Circuits. 31(10). 1400–1405.

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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