Elisabeth Trapp

823 total citations
25 papers, 417 citations indexed

About

Elisabeth Trapp is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Elisabeth Trapp has authored 25 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 13 papers in Pulmonary and Respiratory Medicine and 12 papers in Cancer Research. Recurrent topics in Elisabeth Trapp's work include Cancer Cells and Metastasis (18 papers), Advanced Breast Cancer Therapies (7 papers) and HER2/EGFR in Cancer Research (7 papers). Elisabeth Trapp is often cited by papers focused on Cancer Cells and Metastasis (18 papers), Advanced Breast Cancer Therapies (7 papers) and HER2/EGFR in Cancer Research (7 papers). Elisabeth Trapp collaborates with scholars based in Germany, Austria and United States. Elisabeth Trapp's co-authors include Brigitte Rack, Wolfgang Janni, Thomas W. P. Friedl, Marianna Alunni‐Fabbroni, Andreas Schneeweiß, Tanja Fehm, Peter A. Fasching, Ulrich Andergassen, Klaus Pantel and Marie Tzschaschel and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Elisabeth Trapp

24 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elisabeth Trapp Germany 13 303 252 133 97 40 25 417
Tongmei Zhang China 11 219 0.7× 123 0.5× 138 1.0× 96 1.0× 62 1.6× 49 389
Bao Liu China 8 174 0.6× 177 0.7× 135 1.0× 46 0.5× 27 0.7× 11 329
Shih‐Che Shen Taiwan 9 139 0.5× 102 0.4× 105 0.8× 43 0.4× 18 0.5× 21 303
Yongchu Sun China 9 99 0.3× 135 0.5× 194 1.5× 39 0.4× 33 0.8× 14 313
Lucie Hamel Canada 12 70 0.2× 109 0.4× 181 1.4× 161 1.7× 24 0.6× 21 373
Fengying Du China 9 120 0.4× 220 0.9× 338 2.5× 127 1.3× 41 1.0× 24 490
Yingnan Wang China 9 157 0.5× 78 0.3× 102 0.8× 79 0.8× 53 1.3× 22 298
Marta Vismara Italy 9 274 0.9× 207 0.8× 144 1.1× 80 0.8× 47 1.2× 15 403
Sivan Bokobza United Kingdom 9 126 0.4× 53 0.2× 194 1.5× 64 0.7× 25 0.6× 16 286
Elke Veltrup Germany 9 122 0.4× 75 0.3× 95 0.7× 47 0.5× 31 0.8× 22 255

Countries citing papers authored by Elisabeth Trapp

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Trapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Trapp

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Trapp. A scholar is included among the top collaborators of Elisabeth Trapp 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 Elisabeth Trapp. Elisabeth Trapp 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.
Gregorio, Amelie de, Wolfgang Janni, Thomas W. P. Friedl, et al.. (2022). The impact of anthracyclines in intermediate and high-risk HER2-negative early breast cancer—a pooled analysis of the randomised clinical trials PlanB and SUCCESS C. British Journal of Cancer. 126(12). 1715–1724. 23 indexed citations
2.
Vilsmaier, Theresa�, Helene Hildegard Heidegger, Elisabeth Trapp, et al.. (2020). Interleukin 15 and Eotaxin correlate with the outcome of breast cancer patients vice versa independent of CTC status. Archives of Gynecology and Obstetrics. 303(1). 217–230. 7 indexed citations
3.
Alunni‐Fabbroni, Marianna, Elisabeth Trapp, Marie Tzschaschel, et al.. (2018). Whole blood microRNAs as potential biomarkers in post-operative early breast cancer patients. BMC Cancer. 18(1). 141–141. 32 indexed citations
5.
Schochter, Fabienne, Thomas W. P. Friedl, Nikolaus de Gregorio, et al.. (2017). Prevalence of Circulating Tumor Cells After Adjuvant Chemotherapy With or Without Anthracyclines in Patients With HER2-negative, Hormone Receptor-positive Early Breast Cancer. Clinical Breast Cancer. 17(4). 279–285. 8 indexed citations
8.
Gregorio, Amelie de, Thomas W. P. Friedl, Jens Huober, et al.. (2017). Discordance in Human Epidermal Growth Factor Receptor 2 (HER2) Phenotype Between Primary Tumor and Circulating Tumor Cells in Women With HER2-Negative Metastatic Breast Cancer. JCO Precision Oncology. 1(1). 1–12. 16 indexed citations
10.
Rack, Brigitte, Julia Jückstöck, Elisabeth Trapp, et al.. (2016). CA27.29 as a tumour marker for risk evaluation and therapy monitoring in primary breast cancer patients. Tumor Biology. 37(10). 13769–13775. 11 indexed citations
11.
Hepp, Philip, Ulrich Andergassen, Bernadette Jäger, et al.. (2016). Association of CA27.29 and Circulating Tumor Cells Before and at Different Times After Adjuvant Chemotherapy in Patients with Early-stage Breast Cancer – The SUCCESS Trial. Anticancer Research. 36(9). 4771–4776. 12 indexed citations
12.
Trapp, Elisabeth, Brigitte Rack, Lothar Häberle, et al.. (2016). Detection of circulating tumor cells during long-term follow-up of high-risk breast cancer patients indicates poor prognosis – results of the adjuvant SUCCESS A trial. Geburtshilfe und Frauenheilkunde. 76(10). 1 indexed citations
13.
König, Alexander, Theresa� Vilsmaier, Brigitte Rack, et al.. (2016). Determination of Interleukin-4, -5, -6, -8 and -13 in Serum of Patients with Breast Cancer Before Treatment and its Correlation to Circulating Tumor Cells.. PubMed. 36(6). 3123–30. 30 indexed citations
14.
15.
Rack, Brigitte, Elisabeth Trapp, Julia Jückstöck, et al.. (2016). Comparison of HER2 Expression in Primary Tumor and Disseminated Tumor Cells in the Bone Marrow of Breast Cancer Patients. Oncology. 90(4). 232–238. 15 indexed citations
16.
Friedl, Thomas W. P., Brigitte Rack, Elisabeth Trapp, et al.. (2016). The DETECT study concept: Individualized therapy of metastatic breast cancer.. Journal of Clinical Oncology. 34(15_suppl). TPS634–TPS634. 5 indexed citations
17.
Ignatiadis, Michail, Brigitte Rack, Françoise Rothé, et al.. (2016). Liquid biopsy-based clinical research in early breast cancer: The EORTC 90091-10093 Treat CTC trial. European Journal of Cancer. 63. 97–104. 39 indexed citations
18.
Friedl, Thomas W. P., Fabienne Schochter, Christoph Scholz, et al.. (2015). Therapeutic intervention based on circulating tumor cell phenotype in metastatic breast cancer: concept of the DETECT study program. Archives of Gynecology and Obstetrics. 293(2). 271–281. 40 indexed citations
19.
Rack, Brigitte, Peter A. Fasching, Lothar Häberle, et al.. (2015). Abstract P4-11-21: Prevalence of circulating tumor cells (CTCs) after five years of zoledronate treatment in the adjuvant SUCCESS-A study. Cancer Research. 75(9_Supplement). P4–11. 1 indexed citations
20.
Trapp, Elisabeth, Brigitte Rack, Simone Hofmann, et al.. (2015). Abstract P4-01-16: Detection of EMT, anoikis and stem cell markers in metastatic breast cancer patients under different lines of treatment. Cancer Research. 75(9_Supplement). P4–1. 1 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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