Jana Rolff

1.1k total citations
20 papers, 722 citations indexed

About

Jana Rolff is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jana Rolff has authored 20 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jana Rolff's work include Lung Cancer Treatments and Mutations (5 papers), Cancer Genomics and Diagnostics (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). Jana Rolff is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Cancer Genomics and Diagnostics (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). Jana Rolff collaborates with scholars based in Germany, United States and Netherlands. Jana Rolff's co-authors include Iduna Fichtner, Johannes Merk, Michael W. Becker, Jens Hoffmann, Anette Sommer, Stefanie Hammer, Richie Soong, Angelika Eggert, Gunda Leschber and Sebastian Jäger and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Jana Rolff

20 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jana Rolff Germany 14 350 304 208 149 128 20 722
Lia Walcher Germany 5 317 0.9× 395 1.3× 234 1.1× 53 0.4× 79 0.6× 5 717
Harry A. Rogoff United States 13 525 1.5× 746 2.5× 243 1.2× 62 0.4× 51 0.4× 21 1.1k
Carmen Aanei France 12 219 0.6× 484 1.6× 205 1.0× 35 0.2× 92 0.7× 22 979
Monika McClellan Germany 8 480 1.4× 300 1.0× 209 1.0× 55 0.4× 143 1.1× 9 727
Yinggui Yang China 12 429 1.2× 690 2.3× 317 1.5× 36 0.2× 119 0.9× 23 1.1k
Lixia Luo United States 14 164 0.5× 336 1.1× 159 0.8× 35 0.2× 145 1.1× 54 643
Hanna Dillekås Norway 4 294 0.8× 308 1.0× 221 1.1× 41 0.3× 73 0.6× 6 702
Haolan Wang China 6 251 0.7× 520 1.7× 192 0.9× 34 0.2× 124 1.0× 9 861
Chunjing Wu United States 19 315 0.9× 540 1.8× 278 1.3× 178 1.2× 143 1.1× 38 1.0k

Countries citing papers authored by Jana Rolff

Since Specialization
Citations

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

Fields of papers citing papers by Jana Rolff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Rolff

This figure shows the co-authorship network connecting the top 25 collaborators of Jana Rolff. A scholar is included among the top collaborators of Jana Rolff 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 Jana Rolff. Jana Rolff 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.
Textor, Ana, Anika Klaus, Annika Winkler, et al.. (2021). CD28 Co-Stimulus Achieves Superior CAR T Cell Effector Function against Solid Tumors Than 4-1BB Co-Stimulus. Cancers. 13(5). 1050–1050. 28 indexed citations
2.
MacArthur, Ian C., Yi Bei, Heathcliff Dorado García, et al.. (2019). Prohibitin promotes dedifferentiation and is a potential therapeutic target in neuroblastoma. JCI Insight. 4(10). 17 indexed citations
3.
4.
Rolff, Jana, et al.. (2017). Synergistic Antitumour Properties ofviscumTTin Alveolar Rhabdomyosarcoma. Journal of Immunology Research. 2017. 1–13. 7 indexed citations
5.
Fichtner, Iduna, Konrad Klinghammer, Diana Behrens, et al.. (2017). Animal models for personalized treatment options. International Journal of Clinical Pharmacology and Therapeutics. 55(8). 698–700. 5 indexed citations
6.
Rolff, Jana, et al.. (2016). Multiple Active Compounds from Viscum album L. Synergistically Converge to Promote Apoptosis in Ewing Sarcoma. PLoS ONE. 11(9). e0159749–e0159749. 28 indexed citations
7.
Rolff, Jana, Michael W. Becker, Johannes Merk, Jens Hoffmann, & Iduna Fichtner. (2016). Preclinical Study of a Combination of Erlotinib and Bevacizumab in Early Stages of Unselected Non-Small Cell Lung Cancer Patient-Derived Xenografts. Targeted Oncology. 11(4). 507–514. 9 indexed citations
8.
Lienhard, Matthias, Jana Rolff, Steffen Frese, et al.. (2016). QSEA—modelling of genome-wide DNA methylation from sequencing enrichment experiments. Nucleic Acids Research. 45(6). e44–e44. 29 indexed citations
9.
Becker, Roland, et al.. (2015). Investigation of cell culture volatilomes using solid phase micro extraction: Options and pitfalls exemplified with adenocarcinoma cell lines. Journal of Chromatography B. 1006. 158–166. 29 indexed citations
10.
Rolff, Jana, et al.. (2015). A Natural Combination Extract of Viscum album L. Containing Both Triterpene Acids and Lectins Is Highly Effective against AML In Vivo. PLoS ONE. 10(8). e0133892–e0133892. 42 indexed citations
11.
Becker, Roland, et al.. (2015). In vitro cultured lung cancer cells are not suitable for animal-based breath biomarker detection. Journal of Breath Research. 9(2). 27103–27103. 27 indexed citations
12.
Behrens, Diana, Jana Rolff, & Jens Hoffmann. (2015). Predictive In Vivo Models for Oncology. Handbook of experimental pharmacology. 232. 203–221. 7 indexed citations
13.
Jäger, Sebastian, et al.. (2015). Insight into mistletoe´s mechanism of action of targeting pediatric Ewing Sarcoma. Phytomedicine. 22. S25–S25. 1 indexed citations
14.
Rolff, Jana, Christian Bender, Mostafa Jarahian, et al.. (2014). Activation of AMP-activated protein kinase sensitizes lung cancer cells and H1299 xenografts to erlotinib. Lung Cancer. 86(2). 151–157. 14 indexed citations
15.
Merk, Johannes, et al.. (2011). Chemoresistance in non-small-cell lung cancer: can multidrug resistance markers predict the response of xenograft lung cancer models to chemotherapy?. European Journal of Cardio-Thoracic Surgery. 40(1). e29–e33. 35 indexed citations
16.
Hammer, Stefanie, Anette Sommer, Iduna Fichtner, et al.. (2010). Comparative Profiling of the Novel Epothilone, Sagopilone, in Xenografts Derived from Primary Non–Small Cell Lung Cancer. Clinical Cancer Research. 16(5). 1452–1465. 34 indexed citations
17.
Merk, Johannes, Jana Rolff, Michael W. Becker, Gunda Leschber, & Iduna Fichtner. (2009). Patient-derived xenografts of non-small-cell lung cancer: a pre-clinical model to evaluate adjuvant chemotherapy?☆. European Journal of Cardio-Thoracic Surgery. 36(3). 454–459. 51 indexed citations
18.
Rolff, Jana, et al.. (2009). Radiosensitisation of U87MG brain tumours by anti-epidermal growth factor receptor monoclonal antibodies. British Journal of Cancer. 100(6). 950–958. 68 indexed citations
19.
20.
Fichtner, Iduna, Jana Rolff, Richie Soong, et al.. (2008). Establishment of Patient-Derived Non–Small Cell Lung Cancer Xenografts as Models for the Identification of Predictive Biomarkers. Clinical Cancer Research. 14(20). 6456–6468. 227 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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