Madeline Repollet

4.3k total citations · 2 hit papers
16 papers, 3.3k citations indexed

About

Madeline Repollet is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Madeline Repollet has authored 16 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Madeline Repollet's work include Cancer Cells and Metastasis (12 papers), Cancer Genomics and Diagnostics (8 papers) and Multiple Myeloma Research and Treatments (2 papers). Madeline Repollet is often cited by papers focused on Cancer Cells and Metastasis (12 papers), Cancer Genomics and Diagnostics (8 papers) and Multiple Myeloma Research and Treatments (2 papers). Madeline Repollet collaborates with scholars based in United States, Belgium and France. Madeline Repollet's co-authors include Leon W.M.M. Terstappen, Michael Craig Miller, Jeri Matera, Mark C. Connelly, W. Jeffrey Allard, Jonathan W. Uhr, Chinthalapally V. Rao, Arjan G.J. Tibbe, Gerald V. Doyle and Daniel F. Hayes and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Madeline Repollet

16 papers receiving 3.2k citations

Hit Papers

Tumor Cells Circulate in the Peripheral Blood of All Majo... 2004 2026 2011 2018 2004 2006 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madeline Repollet United States 12 2.6k 1.7k 887 841 697 16 3.3k
Arjan G.J. Tibbe Netherlands 21 2.8k 1.1× 1.9k 1.1× 916 1.0× 1.2k 1.4× 825 1.2× 43 3.9k
Christian Schindlbeck Germany 30 3.0k 1.1× 2.1k 1.2× 912 1.0× 585 0.7× 918 1.3× 83 4.0k
Bahriye Aktas Germany 28 2.4k 0.9× 1.6k 0.9× 894 1.0× 398 0.5× 761 1.1× 164 3.5k
H. Tissing Netherlands 7 3.1k 1.2× 2.1k 1.2× 1.4k 1.6× 795 0.9× 632 0.9× 10 4.0k
Lynsey Priest United Kingdom 15 2.2k 0.9× 1.6k 0.9× 889 1.0× 520 0.6× 854 1.2× 22 3.1k
Maria Donaldson Collier Switzerland 6 2.9k 1.1× 1.8k 1.0× 588 0.7× 835 1.0× 1.4k 2.1× 11 3.9k
Summer Jackson United States 13 1.7k 0.7× 1.2k 0.7× 560 0.6× 554 0.7× 416 0.6× 19 2.2k
Tobias M. Gorges Germany 21 1.6k 0.6× 1.2k 0.7× 537 0.6× 559 0.7× 602 0.9× 34 2.2k
Jordan C. Ciciliano United States 10 1.6k 0.6× 930 0.5× 435 0.5× 646 0.8× 788 1.1× 16 2.5k
Lindsey Ulkus United States 5 2.5k 1.0× 1.5k 0.9× 1.2k 1.4× 2.1k 2.5× 1.2k 1.7× 5 4.5k

Countries citing papers authored by Madeline Repollet

Since Specialization
Citations

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

Fields of papers citing papers by Madeline Repollet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madeline Repollet

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

All Works

16 of 16 papers shown
1.
Paoletti, Costanza, Jieling Miao, Elizabeth P. Darga, et al.. (2019). Circulating Tumor Cell Clusters in Patients with Metastatic Breast Cancer: a SWOG S0500 Translational Medicine Study. Clinical Cancer Research. 25(20). 6089–6097. 57 indexed citations
3.
Foulk, Brad, Steve Gross, Chandra Rao, et al.. (2017). Enumeration and characterization of circulating multiple myeloma cells in patients with plasma cell disorders. British Journal of Haematology. 180(1). 71–81. 32 indexed citations
5.
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
6.
Stille, John R., Amy Flynt, Victoria L. Peek, et al.. (2015). CXCR4 expression and circulating tumor cell (CTC) counts evaluated as prognostic markers in extensive disease small cell lung cancer (ED-SCLC) patients (pts).. Journal of Clinical Oncology. 33(15_suppl). e18558–e18558. 1 indexed citations
7.
Smerage, Jeffrey B., G. Thomas Budd, Gerald V. Doyle, et al.. (2013). Monitoring apoptosis and Bcl‐2 on circulating tumor cells in patients with metastatic breast cancer. Molecular Oncology. 7(3). 680–692. 81 indexed citations
8.
Doyle, Gerald V., G. T. Budd, Madeline Repollet, et al.. (2008). Detection of Bcl-2 and apoptosis in circulating tumor cells during treatment of metastatic breast cancer. Journal of Clinical Oncology. 26(15_suppl). 11016–11016. 2 indexed citations
9.
Repollet, Madeline, Kathryn E. Luker, Martha E. Brown, et al.. (2008). Monitoring Serial Changes in Circulating Human Breast Cancer Cells in Murine Xenograft Models. Cancer Research. 68(14). 5529–5532. 39 indexed citations
10.
Bono, Johann S. de, Gerhardt Attard, Alex A. Adjei, et al.. (2007). Potential Applications for Circulating Tumor Cells Expressing the Insulin-Like Growth Factor-I Receptor. Clinical Cancer Research. 13(12). 3611–3616. 152 indexed citations
11.
Budd, G. Thomas, Massimo Cristofanilli, Mathew J. Ellis, et al.. (2006). Circulating Tumor Cells versus Imaging—Predicting Overall Survival in Metastatic Breast Cancer. Clinical Cancer Research. 12(21). 6403–6409. 594 indexed citations breakdown →
12.
Almokadem, Salah, Kim Leitzel, Harold A. Harvey, et al.. (2005). Circulating tumor cells in adjuvant breast cancer patients. Journal of Clinical Oncology. 23(16_suppl). 667–667. 4 indexed citations
13.
Allard, W. Jeffrey, Jeri Matera, Michael Craig Miller, et al.. (2004). Tumor Cells Circulate in the Peripheral Blood of All Major Carcinomas but not in Healthy Subjects or Patients With Nonmalignant Diseases. Clinical Cancer Research. 10(20). 6897–6904. 2015 indexed citations breakdown →
14.
Larson, Christopher J., José Moreno, Kenneth J. Pienta, et al.. (2004). Apoptosis of circulating tumor cells in prostate cancer patients. Cytometry Part A. 62A(1). 46–53. 118 indexed citations
15.
Allard, W. Jeffrey, Jeri Matera, Michael Craig Miller, et al.. (2004). Tumor cells circulate in the peripheral blood of all major carcinomas but not in healthy subjects or patients with non-malignant diseases. Journal of Clinical Oncology. 22(14_suppl). 9552–9552. 32 indexed citations
16.
Allard, W. Jeffrey, Jeri Matera, Michael Craig Miller, et al.. (2004). Tumor cells circulate in the peripheral blood of all major carcinomas but not in healthy subjects or patients with non-malignant diseases. Journal of Clinical Oncology. 22(14_suppl). 9552–9552. 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.

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