Thomas Fleischer

2.0k total citations
41 papers, 1.1k citations indexed

About

Thomas Fleischer is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Thomas Fleischer has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 24 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Thomas Fleischer's work include Epigenetics and DNA Methylation (21 papers), Cancer Genomics and Diagnostics (17 papers) and RNA modifications and cancer (7 papers). Thomas Fleischer is often cited by papers focused on Epigenetics and DNA Methylation (21 papers), Cancer Genomics and Diagnostics (17 papers) and RNA modifications and cancer (7 papers). Thomas Fleischer collaborates with scholars based in Norway, France and United States. Thomas Fleischer's co-authors include Vessela N. Kristensen, Jörg Tost, Hege Edvardsen, Anne‐Lise Børresen‐Dale, Bjørn Naume, Anne‐Lise Børresen‐Dale, Åslaug Helland, Nizar Touleimat, Jovana Klajic and Hiroko Kato Solvang and has published in prestigious journals such as Development, Cancer Research and Clinical Cancer Research.

In The Last Decade

Thomas Fleischer

41 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Fleischer Norway 19 827 439 253 156 108 41 1.1k
Vessela N. Kristensen Norway 15 993 1.2× 445 1.0× 284 1.1× 121 0.8× 155 1.4× 19 1.2k
Claudia Arnedo-Pac Spain 4 545 0.7× 351 0.8× 159 0.6× 142 0.9× 110 1.0× 5 801
Iker Reyes-Salazar Spain 3 590 0.7× 352 0.8× 156 0.6× 142 0.9× 125 1.2× 3 856
Sheila Tze United States 8 1.3k 1.6× 280 0.6× 262 1.0× 218 1.4× 89 0.8× 8 1.6k
Marie Wong Australia 10 479 0.6× 281 0.6× 141 0.6× 132 0.8× 167 1.5× 19 821
Anne‐Lise Børresen‐Dale Norway 15 822 1.0× 527 1.2× 446 1.8× 123 0.8× 210 1.9× 20 1.2k
Wei Wen Teo United States 12 624 0.8× 451 1.0× 284 1.1× 109 0.7× 125 1.2× 18 899
Maria Lyng Denmark 16 565 0.7× 486 1.1× 342 1.4× 115 0.7× 251 2.3× 30 1.0k
Brunella Pilato Italy 18 488 0.6× 302 0.7× 172 0.7× 87 0.6× 180 1.7× 46 810
Claudia Hube‐Magg Germany 21 630 0.8× 300 0.7× 260 1.0× 370 2.4× 55 0.5× 60 1.0k

Countries citing papers authored by Thomas Fleischer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Fleischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Fleischer

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Fleischer. A scholar is included among the top collaborators of Thomas Fleischer 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 Thomas Fleischer. Thomas Fleischer 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.
Fleischer, Thomas, Mads H. Haugen, Laxmi Silwal‐Pandit, et al.. (2024). An integrated omics approach highlights how epigenetic events can explain and predict response to neoadjuvant chemotherapy and bevacizumab in breast cancer. Molecular Oncology. 18(8). 2042–2059. 3 indexed citations
2.
Vodičková, Ľudmila, Lukáš Rob, Marcela Mrhalová, et al.. (2024). Telomere length as a predictor of therapy response and survival in patients diagnosed with ovarian carcinoma. Heliyon. 10(13). e33525–e33525. 1 indexed citations
3.
Zhao, Zhi, et al.. (2024). Integrative pan-cancer analysis reveals a common architecture of dysregulated transcriptional networks characterized by loss of enhancer methylation. PLoS Computational Biology. 20(11). e1012565–e1012565. 1 indexed citations
4.
Geier, Oliver, Olav Engebråten, Line Brennhaug Nilsen, et al.. (2023). MRI Assessment of Changes in Tumor Vascularization during Neoadjuvant Anti-Angiogenic Treatment in Locally Advanced Breast Cancer Patients. Cancers. 15(18). 4662–4662. 2 indexed citations
5.
Balušíková, Kamila, Radka Václavíková, Michael Jelínek, et al.. (2023). ABCB1 Amplicon Contains Cyclic AMP Response Element-Driven TRIP6 Gene in Taxane-Resistant MCF-7 Breast Cancer Sublines. Genes. 14(2). 296–296. 1 indexed citations
6.
Lobert, Viola Hélène, Lene Malerød, Thomas Fleischer, et al.. (2022). PHLPP1 regulates CFTR activity and lumen expansion through AMPK. Development. 149(20). 3 indexed citations
7.
Lemma, Roza Berhanu, Thomas Fleischer, Vessela N. Kristensen, et al.. (2022). Pioneer transcription factors are associated with the modulation of DNA methylation patterns across cancers. Epigenetics & Chromatin. 15(1). 13–13. 24 indexed citations
8.
Cao, Maria Dung, Thomas Fleischer, Morten Beck Rye, et al.. (2022). DNA methylation changes in response to neoadjuvant chemotherapy are associated with breast cancer survival. Breast Cancer Research. 24(1). 43–43. 18 indexed citations
9.
Aure, Miriam R. R., Thomas Fleischer, Jaime A. Castro-Mondragón, et al.. (2021). Crosstalk between microRNA expression and DNA methylation drives the hormone-dependent phenotype of breast cancer. Genome Medicine. 13(1). 72–72. 38 indexed citations
10.
Lien, Tonje G., Helga Bergholtz, Thomas Fleischer, et al.. (2021). Multi-Omics Marker Analysis Enables Early Prediction of Breast Tumor Progression. Frontiers in Genetics. 12. 670749–670749. 16 indexed citations
11.
Geier, Oliver, Thomas Fleischer, Øystein Garred, et al.. (2019). Toward Personalized Computer Simulation of Breast Cancer Treatment: A Multiscale Pharmacokinetic and Pharmacodynamic Model Informed by Multitype Patient Data. Cancer Research. 79(16). 4293–4304. 17 indexed citations
12.
Wei, Yongyue, Ruyang Zhang, Yichen Guo, et al.. (2018). Epigenetic modifications in KDM lysine demethylases associate with survival of early-stage NSCLC. Clinical Epigenetics. 10(1). 41–41. 5 indexed citations
13.
Höglander, Elen, Silje Nord, David C. Wedge, et al.. (2018). Time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations. Genome Medicine. 10(1). 92–92. 18 indexed citations
14.
Johnson, Kevin C., Devin C. Koestler, Thomas Fleischer, et al.. (2015). DNA methylation in ductal carcinoma in situ related with future development of invasive breast cancer. Clinical Epigenetics. 7(1). 75–75. 49 indexed citations
15.
Klajic, Jovana, Florence Busato, Hege Edvardsen, et al.. (2014). DNA Methylation Status of Key Cell-Cycle Regulators Such as CDKNA2 /p16 and CCNA1 Correlates with Treatment Response to Doxorubicin and 5-Fluorouracil in Locally Advanced Breast Tumors. Clinical Cancer Research. 20(24). 6357–6366. 43 indexed citations
16.
Fleischer, Thomas, Arnoldo Frigessi, Kevin C. Johnson, et al.. (2014). Genome-wide DNA methylation profiles in progression to in situand invasive carcinoma of the breast with impact on gene transcription and prognosis. Genome biology. 15(8). 435–435. 139 indexed citations
17.
Klajic, Jovana, Thomas Fleischer, Emelyne Dejeux, et al.. (2013). Quantitative DNA methylation analyses reveal stage dependent DNA methylation and association to clinico-pathological factors in breast tumors. BMC Cancer. 13(1). 456–456. 59 indexed citations
18.
Quigley, David A., Silje Nord, Peter Van Loo, et al.. (2013). The 5p12 breast cancer susceptibility locus affects MRPS30 expression in estrogen‐receptor positive tumors. Molecular Oncology. 8(2). 273–284. 20 indexed citations
19.
Helland, Åslaug, Lilach Kleinberg, Thomas Fleischer, et al.. (2011). EGFR Gene Alterations in a Norwegian Cohort of Lung Cancer Patients Selected for Surgery. Journal of Thoracic Oncology. 6(5). 947–950. 39 indexed citations
20.
Rønneberg, Jo Anders, Thomas Fleischer, Hiroko Kato Solvang, et al.. (2010). Methylation profiling with a panel of cancer related genes: Association with estrogen receptor, TP53 mutation status and expression subtypes in sporadic breast cancer. Molecular Oncology. 5(1). 61–76. 101 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Vessela N. Kristensen Breakdown of academic impact, for papers by Claudia Arnedo-Pac Breakdown of academic impact, for papers by Iker Reyes-Salazar Breakdown of academic impact, for papers by Sheila Tze Breakdown of academic impact, for papers by Marie Wong Breakdown of academic impact, for papers by Anne‐Lise Børresen‐Dale Breakdown of academic impact, for papers by Wei Wen Teo Breakdown of academic impact, for papers by Maria Lyng Breakdown of academic impact, for papers by Brunella Pilato Breakdown of academic impact, for papers by Claudia Hube‐Magg
Rankless by CCL
2026