Jette Sønderskov Gørløv

1.3k total citations
15 papers, 235 citations indexed

About

Jette Sønderskov Gørløv is a scholar working on Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Neurology. According to data from OpenAlex, Jette Sønderskov Gørløv has authored 15 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Neurology. Recurrent topics in Jette Sønderskov Gørløv's work include Lymphoma Diagnosis and Treatment (9 papers), Acute Lymphoblastic Leukemia research (4 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). Jette Sønderskov Gørløv is often cited by papers focused on Lymphoma Diagnosis and Treatment (9 papers), Acute Lymphoblastic Leukemia research (4 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). Jette Sønderskov Gørløv collaborates with scholars based in Denmark, Sweden and United States. Jette Sønderskov Gørløv's co-authors include Peter de Nully Brown, Bente Arboe, Michael Roost Clausen, Tarec Christoffer El‐Galaly, Tobias Wirenfeldt Klausen, Peter Svenssen Munksgaard, Jacob Haaber Christensen, Christoffer Johansen, Susanne Oksbjerg Dalton and Maja Halgren Olsen and has published in prestigious journals such as PLoS ONE, British Journal of Haematology and Epidemiology.

In The Last Decade

Jette Sønderskov Gørløv

14 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jette Sønderskov Gørløv Denmark 10 92 92 44 43 35 15 235
Samip Master United States 10 60 0.7× 136 1.5× 56 1.3× 31 0.7× 86 2.5× 56 325
Granada Perea Spain 8 91 1.0× 74 0.8× 51 1.2× 28 0.7× 109 3.1× 12 278
Francesca Palombi Italy 9 181 2.0× 125 1.4× 55 1.3× 20 0.5× 57 1.6× 18 321
Marjolein van der Poel Netherlands 10 130 1.4× 184 2.0× 44 1.0× 29 0.7× 53 1.5× 32 299
Matthew Boron United States 3 40 0.4× 158 1.7× 22 0.5× 93 2.2× 32 0.9× 6 305
Hans‐Jürgen Hurtz Germany 4 94 1.0× 109 1.2× 104 2.4× 24 0.6× 111 3.2× 5 272
A. Nieters France 6 110 1.2× 79 0.9× 57 1.3× 35 0.8× 10 0.3× 6 273
Shenmiao Yang China 7 150 1.6× 63 0.7× 177 4.0× 31 0.7× 92 2.6× 37 296
Cassandra Graham Canada 8 66 0.7× 104 1.1× 31 0.7× 37 0.9× 17 0.5× 12 294
Leanne Goldstein United States 13 27 0.3× 104 1.1× 20 0.5× 39 0.9× 22 0.6× 21 320

Countries citing papers authored by Jette Sønderskov Gørløv

Since Specialization
Citations

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

Fields of papers citing papers by Jette Sønderskov Gørløv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jette Sønderskov Gørløv. 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 Jette Sønderskov Gørløv. The network helps show where Jette Sønderskov Gørløv may publish in the future.

Co-authorship network of co-authors of Jette Sønderskov Gørløv

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

All Works

15 of 15 papers shown
1.
Bæch, Joachim, Simon Husby, Kristian Kragholm, et al.. (2023). Cardiovascular diseases after high‐dose chemotherapy and autologous stem cell transplant for lymphoma: A Danish population‐based study. British Journal of Haematology. 204(3). 967–975. 3 indexed citations
2.
3.
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
4.
Arboe, Bente, Maja Halgren Olsen, Jette Sønderskov Gørløv, et al.. (2019). <p>Treatment intensity and survival in patients with relapsed or refractory diffuse large B-cell lymphoma in Denmark: a real-life population-based study</p>. Clinical Epidemiology. Volume 11. 207–216. 14 indexed citations
5.
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
6.
Kissow, Hannelouise, Bolette Hartmann, Kathrine Grell, et al.. (2019). Glucagon-Like Peptide-1 Is a Marker of Systemic Inflammation in Patients Treated with High-Dose Chemotherapy and Autologous Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 25(6). 1085–1091. 11 indexed citations
7.
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.
8.
Kampmann, Peter, Jette Sønderskov Gørløv, Lone Smidstrup Friis, et al.. (2018). Systematic patient involvement for homebased outpatient administration of complex chemotherapy in acute leukemia and lymphoma. British Journal of Haematology. 181(5). 637–641. 15 indexed citations
9.
Vestergaard, Jesper Medom, Francesco d’Amore, Jette Sønderskov Gørløv, et al.. (2018). Styrene Exposure and Risk of Lymphohematopoietic Malignancies in 73,036 Reinforced Plastics Workers. Epidemiology. 29(3). 342–351. 29 indexed citations
10.
Haastrup, Eva, Lea Munthe‐Fog, Christian Clausen, et al.. (2018). Pentaisomaltose, an Alternative to DMSO. Engraftment of Cryopreserved Human CD34+ Cells in Immunodeficient NSG Mice. Cell Transplantation. 27(9). 1407–1412. 12 indexed citations
11.
12.
Arboe, Bente, Maja Halgren Olsen, Jette Sønderskov Gørløv, et al.. (2017). Return to work for patients with diffuse large B-cell lymphoma and transformed indolent lymphoma undergoing autologous stem cell transplantation. Clinical Epidemiology. Volume 9. 321–329. 13 indexed citations
13.
Arboe, Bente, Tarec Christoffer El‐Galaly, Michael Roost Clausen, et al.. (2016). The Danish National Lymphoma Registry: Coverage and Data Quality. PLoS ONE. 11(6). e0157999–e0157999. 82 indexed citations
14.
Haastrup, Eva, Kristian Reckzeh, Bjørn Holst, et al.. (2016). Low‐molecular‐weight carbohydrate Pentaisomaltose may replace dimethyl sulfoxide as a safer cryoprotectant for cryopreservation of peripheral blood stem cells. Transfusion. 56(5). 1088–1095. 19 indexed citations
15.
Gørløv, Jette Sønderskov, et al.. (2015). Optimized patient-trajectory for patients undergoing treatment with high-dose chemotherapy and autologous stem cell transplantation. Acta Oncologica. 54(5). 750–758. 12 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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