Lasse D. Jensen

4.9k total citations
85 papers, 2.8k citations indexed

About

Lasse D. Jensen is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Lasse D. Jensen has authored 85 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 28 papers in Cell Biology and 24 papers in Cancer Research. Recurrent topics in Lasse D. Jensen's work include Zebrafish Biomedical Research Applications (20 papers), Angiogenesis and VEGF in Cancer (17 papers) and Cancer, Hypoxia, and Metabolism (17 papers). Lasse D. Jensen is often cited by papers focused on Zebrafish Biomedical Research Applications (20 papers), Angiogenesis and VEGF in Cancer (17 papers) and Cancer, Hypoxia, and Metabolism (17 papers). Lasse D. Jensen collaborates with scholars based in Sweden, China and United States. Lasse D. Jensen's co-authors include Yihai Cao, Pegah Rouhi, Gabriela Vazquez Rodriguez, Kayoko Hosaka, Annelie Abrahamsson, Giselbert Hauptmann, Charlotta Dabrosin, Neil Lagali, Anthony Mukwaya and Yunlong Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Lasse D. Jensen

84 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lasse D. Jensen Sweden 30 1.5k 730 646 509 410 85 2.8k
Andrew C. Dudley United States 33 1.8k 1.2× 914 1.3× 662 1.0× 322 0.6× 448 1.1× 60 3.2k
Veli‐Matti Leppänen Finland 30 1.7k 1.2× 359 0.5× 892 1.4× 392 0.8× 261 0.6× 53 3.5k
Ming‐Hong Tai Taiwan 32 1.6k 1.1× 557 0.8× 583 0.9× 197 0.4× 292 0.7× 116 3.2k
Ramani Ramchandran United States 35 3.0k 2.0× 1.5k 2.0× 510 0.8× 542 1.1× 324 0.8× 96 4.3k
Akiyoshi Uemura Japan 29 2.1k 1.4× 377 0.5× 398 0.6× 461 0.9× 279 0.7× 70 3.5k
Shuli Xia United States 29 1.7k 1.2× 497 0.7× 496 0.8× 171 0.3× 239 0.6× 66 2.6k
Lisette M. Acevedo United States 17 1.9k 1.3× 643 0.9× 349 0.5× 651 1.3× 290 0.7× 26 2.9k
Kayoko Hosaka Sweden 29 1.4k 1.0× 908 1.2× 822 1.3× 287 0.6× 430 1.0× 42 2.9k
Chifumi Kitanaka Japan 40 2.8k 1.9× 794 1.1× 1.2k 1.8× 356 0.7× 400 1.0× 116 4.7k
Marsha J. Merrill United States 28 2.4k 1.7× 1.2k 1.7× 563 0.9× 189 0.4× 225 0.5× 47 4.1k

Countries citing papers authored by Lasse D. Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Lasse D. Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lasse D. Jensen. 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 Lasse D. Jensen. The network helps show where Lasse D. Jensen may publish in the future.

Co-authorship network of co-authors of Lasse D. Jensen

This figure shows the co-authorship network connecting the top 25 collaborators of Lasse D. Jensen. A scholar is included among the top collaborators of Lasse D. Jensen 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 Lasse D. Jensen. Lasse D. Jensen 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.
Ding, Yi, Wietske van der Ent, Carl Koschmann, et al.. (2025). Automated microinjection for zebrafish xenograft models. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2(1). 1 indexed citations
2.
Lindahl, Gabriel, Zaheer Ali, Gabriela Vazquez Rodriguez, et al.. (2024). Zebrafish tumour xenograft models: a prognostic approach to epithelial ovarian cancer. npj Precision Oncology. 8(1). 53–53. 8 indexed citations
3.
Ali, Zaheer, Gabriela Vazquez Rodriguez, Anna Fahlgren, et al.. (2023). Novel Zebrafish Patient-Derived Tumor Xenograft Methodology for Evaluating Efficacy of Immune-Stimulating BCG Therapy in Urinary Bladder Cancer. Cells. 12(3). 508–508. 11 indexed citations
4.
Xie, Xuqin, Chuanwen Fan, Jing Zhang, et al.. (2023). APR-246 Enhances Colorectal Cancer Sensitivity to Radiotherapy. Molecular Cancer Therapeutics. 22(8). 947–961. 10 indexed citations
5.
Ali, Zaheer, Gabriela Vazquez Rodriguez, Ioannis Vamvakaris, et al.. (2022). Zebrafish patient-derived xenograft models predict lymph node involvement and treatment outcome in non-small cell lung cancer. Journal of Experimental & Clinical Cancer Research. 41(1). 58–58. 31 indexed citations
6.
Xie, Sisi, Ying Ye, Xiaoting Sun, et al.. (2022). Dietary ketone body–escalated histone acetylation in megakaryocytes alleviates chemotherapy-induced thrombocytopenia. Science Translational Medicine. 14(673). eabn9061–eabn9061. 9 indexed citations
7.
Ye, Ying, Sisi Xie, Yintao Li, et al.. (2021). Megakaryocytes Mediate Hyperglycemia-Induced Tumor Metastasis. Cancer Research. 81(21). 5506–5522. 22 indexed citations
8.
Hull, Rodney, Georgios Lolas, Lasse D. Jensen, et al.. (2021). Microbiomics in Collusion with the Nervous System in Carcinogenesis: Diagnosis, Pathogenesis and Treatment. Microorganisms. 9(10). 2129–2129. 1 indexed citations
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11.
Wang, Zongwei & Lasse D. Jensen. (2020). Broad targeting of angiogenesis for cancer prevention and therapy. UNC Libraries. 7 indexed citations
12.
Olk, Nadine, Kathy Astrahantseff, Lasse D. Jensen, et al.. (2020). Fast, In Vivo Model for Drug-Response Prediction in Patients with B-Cell Precursor Acute Lymphoblastic Leukemia. Cancers. 12(7). 1883–1883. 15 indexed citations
13.
Hedlund, Eva–Maria, Paul C. McDonald, Oksana Nemirovsky, et al.. (2019). Harnessing Induced Essentiality: Targeting Carbonic Anhydrase IX and Angiogenesis Reduces Lung Metastasis of Triple Negative Breast Cancer Xenografts. Cancers. 11(7). 1002–1002. 38 indexed citations
14.
Cantù, Claudio, Lasse D. Jensen, Christiane König, et al.. (2019). Pharmacophore-guided discovery of CDC25 inhibitors causing cell cycle arrest and tumor regression. Scientific Reports. 9(1). 1335–1335. 22 indexed citations
15.
Zhang, Yunjian, Sharon Lim, Kayoko Hosaka, et al.. (2017). A Zebrafish Model Discovers a Novel Mechanism of Stromal Fibroblast-Mediated Cancer Metastasis. Clinical Cancer Research. 23(16). 4769–4779. 66 indexed citations
16.
Rodriguez, Gabriela Vazquez, Annelie Abrahamsson, Lasse D. Jensen, & Charlotta Dabrosin. (2017). Estradiol Promotes Breast Cancer Cell Migration via Recruitment and Activation of Neutrophils. Cancer Immunology Research. 5(3). 234–247. 69 indexed citations
17.
Jia, Min, Trygve Andreassen, Lasse D. Jensen, et al.. (2016). Estrogen Receptor α Promotes Breast Cancer by Reprogramming Choline Metabolism. Cancer Research. 76(19). 5634–5646. 49 indexed citations
18.
Svensson, Susanne, Annelie Abrahamsson, Gabriela Vazquez Rodriguez, et al.. (2015). CCL2 and CCL5 Are Novel Therapeutic Targets for Estrogen-Dependent Breast Cancer. Clinical Cancer Research. 21(16). 3794–3805. 178 indexed citations
19.
Jensen, Lasse D., Charlotte Gyllenhaal, & Keith I. Block. (2014). Circadian angiogenesis. BioMolecular Concepts. 5(3). 245–256. 17 indexed citations
20.
Jensen, Lasse D.. (2014). The circadian clock and hypoxia in tumor cell de-differentiation and metastasis. Biochimica et Biophysica Acta (BBA) - General Subjects. 1850(8). 1633–1641. 20 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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