Isabell Ge

406 total citations
11 papers, 127 citations indexed

About

Isabell Ge is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Isabell Ge has authored 11 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Isabell Ge's work include Advanced Breast Cancer Therapies (2 papers), Breast Cancer Treatment Studies (2 papers) and Cancer-related molecular mechanisms research (2 papers). Isabell Ge is often cited by papers focused on Advanced Breast Cancer Therapies (2 papers), Breast Cancer Treatment Studies (2 papers) and Cancer-related molecular mechanisms research (2 papers). Isabell Ge collaborates with scholars based in Germany, Switzerland and China. Isabell Ge's co-authors include Anja Rudolph, Dieter Flesch‐Janys, Nitin Shivappa, James R. Hébert, Jenny Chang‐Claude, Fengfeng Cai, Ewelina Biskup, Thalia Erbes, Lihua Zheng and Zhongping Cheng and has published in prestigious journals such as Cancers, Transfusion and Tumor Biology.

In The Last Decade

Isabell Ge

9 papers receiving 125 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabell Ge Germany 6 62 47 33 28 23 11 127
Alexandra Meuter United States 4 13 0.2× 79 1.7× 43 1.3× 134 4.8× 16 0.7× 5 182
Mariana Rezzónico Argentina 5 13 0.2× 76 1.6× 34 1.0× 132 4.7× 15 0.7× 9 419
Marieke G. M. Braem Netherlands 4 23 0.4× 55 1.2× 20 0.6× 27 1.0× 3 0.1× 4 135
Marie Ange Mouret‐Reynier France 2 6 0.1× 117 2.5× 23 0.7× 53 1.9× 43 1.9× 3 149
Jianxia Fan China 8 32 0.5× 20 0.4× 24 0.7× 70 2.5× 3 0.1× 17 195
Vladimir Nosov Russia 3 11 0.2× 16 0.3× 36 1.1× 50 1.8× 4 0.2× 6 134
Leslie E. Oldfield Canada 5 14 0.2× 49 1.0× 39 1.2× 33 1.2× 2 0.1× 15 113
Moritz Reiterer United Kingdom 4 9 0.1× 12 0.3× 38 1.2× 67 2.4× 18 0.8× 7 135
Lauren Sanders United States 7 10 0.2× 11 0.2× 22 0.7× 27 1.0× 21 0.9× 24 102
Qiuyin Cai United States 4 12 0.2× 31 0.7× 9 0.3× 101 3.6× 18 0.8× 5 147

Countries citing papers authored by Isabell Ge

Since Specialization
Citations

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

Fields of papers citing papers by Isabell Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabell Ge

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

All Works

11 of 11 papers shown
1.
Ge, Isabell, Benjamin Schmidt, Markus Jäger, et al.. (2025). Long non‑coding RNA signatures in breast cancer: Properties as biomarkers?. Experimental and Therapeutic Medicine. 29(3). 54–54.
2.
Ge, Isabell, et al.. (2024). Real-World Data Analysis of CDK4/6 Inhibitor Therapy—A Patient-Centric Single Center Study. Cancers. 16(9). 1760–1760. 3 indexed citations
4.
Jäger, Markus, Daniela Weiß, Clemens Kreutz, et al.. (2023). In Vitro microRNA Expression Profile Alterations under CDK4/6 Therapy in Breast Cancer. Biomedicines. 11(10). 2705–2705. 2 indexed citations
5.
Ge, Isabell, et al.. (2023). Does structured obstetric management play a role in the delivery mode and neonatal outcome of twin pregnancies?. Archives of Gynecology and Obstetrics. 309(4). 1441–1452. 1 indexed citations
6.
Ge, Isabell, Thalia Erbes, & Ingolf Juhasz‐Böss. (2022). Prognostic value and management of regional lymph nodes in locoregional breast cancer recurrence: a systematic review of the literature. Archives of Gynecology and Obstetrics. 306(4). 943–957. 11 indexed citations
7.
Hirschfeld, Marc, Isabell Ge, Sebastian Mayer, et al.. (2020). Mutually distinguishing microRNA signatures of breast, ovarian and endometrial cancers in�vitro. Molecular Medicine Reports. 22(5). 4048–4060. 9 indexed citations
9.
Ge, Isabell, Anja Rudolph, Nitin Shivappa, et al.. (2015). Dietary inflammation potential and postmenopausal breast cancer risk in a German case-control study. The Breast. 24(4). 491–496. 63 indexed citations
10.
Zheng, Lihua, Fengfeng Cai, Isabell Ge, Ewelina Biskup, & Zhongping Cheng. (2014). Stromal fibroblast activation and their potential association with uterine fibroids (Review). Oncology Letters. 8(2). 479–486. 18 indexed citations
11.
Cai, Fengfeng, Isabell Ge, Minghong Wang, et al.. (2013). Pyrosequencing analysis of BRCA1 methylation level in breast cancer cells. Tumor Biology. 35(4). 3839–3844. 14 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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