Marc Roller

4.0k total citations · 1 hit paper
32 papers, 3.1k citations indexed

About

Marc Roller is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marc Roller has authored 32 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 14 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marc Roller's work include HER2/EGFR in Cancer Research (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Natural product bioactivities and synthesis (4 papers). Marc Roller is often cited by papers focused on HER2/EGFR in Cancer Research (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Natural product bioactivities and synthesis (4 papers). Marc Roller collaborates with scholars based in Germany, United States and Spain. Marc Roller's co-authors include Sibylle Loibl, Gϋnter von Minckwitz, Martina Komor, Iris Schrader, Carsten Denkert, Silvia Darb‐Esfahani, Berit Müller, Christine Solbach, Aurelia Noske and Jan Budczies and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Marc Roller

32 papers receiving 3.0k citations

Hit Papers

Tumor-Associated Lymphocytes As an Independent Predictor ... 2009 2026 2014 2020 2009 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Roller Germany 19 1.9k 934 815 621 414 32 3.1k
Mohd W. Nasser United States 35 983 0.5× 828 0.9× 1.7k 2.1× 752 1.2× 387 0.9× 72 3.5k
Lu Zheng China 31 557 0.3× 842 0.9× 1.6k 2.0× 449 0.7× 349 0.8× 140 3.0k
Zheng Wang China 33 899 0.5× 717 0.8× 1.6k 2.0× 385 0.6× 313 0.8× 125 3.1k
HyeSook Youn South Korea 30 469 0.2× 725 0.8× 1.4k 1.8× 221 0.4× 331 0.8× 70 2.4k
Louise R. Howe United States 28 1.1k 0.6× 702 0.8× 2.5k 3.0× 374 0.6× 212 0.5× 37 4.4k
Peijun He United States 19 784 0.4× 670 0.7× 1.1k 1.4× 440 0.7× 258 0.6× 25 2.3k
George Kulik United States 22 568 0.3× 442 0.5× 1.7k 2.1× 220 0.4× 321 0.8× 38 2.7k
Dong‐Sheng Pei China 33 729 0.4× 984 1.1× 2.4k 3.0× 321 0.5× 375 0.9× 149 3.5k
Bernd Weigle Germany 27 587 0.3× 221 0.2× 1.3k 1.6× 876 1.4× 223 0.5× 45 2.5k

Countries citing papers authored by Marc Roller

Since Specialization
Citations

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

Fields of papers citing papers by Marc Roller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Roller

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Roller. A scholar is included among the top collaborators of Marc Roller 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 Marc Roller. Marc Roller 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
2.
Bai, Naisheng, Kan He, Marc Roller, et al.. (2015). Flavonolignans and Other Constituents fromLepidium meyeniiwith Activities in Anti-inflammation and Human Cancer Cell Lines. Journal of Agricultural and Food Chemistry. 63(9). 2458–2463. 75 indexed citations
4.
Einbond, Linda Saxe, Hsan‐au Wu, Kan He, et al.. (2012). Carnosic acid inhibits the growth of ER-negative human breast cancer cells and synergizes with curcumin. Fitoterapia. 83(7). 1160–1168. 71 indexed citations
5.
Loibl, Sibylle, Berit Müller, Gϋnter von Minckwitz, et al.. (2011). Androgen receptor expression in primary breast cancer and its predictive and prognostic value in patients treated with neoadjuvant chemotherapy. Breast Cancer Research and Treatment. 130(2). 477–487. 166 indexed citations
6.
Noske, Aurelia, Sibylle Loibl, Silvia Darb‐Esfahani, et al.. (2010). Comparison of different approaches for assessment of HER2 expression on protein and mRNA level: prediction of chemotherapy response in the neoadjuvant GeparTrio trial (NCT00544765). Breast Cancer Research and Treatment. 126(1). 109–117. 47 indexed citations
7.
Riethdorf, Sabine, Volkmar Müller, Liling Zhang, et al.. (2010). Detection and HER2 Expression of Circulating Tumor Cells: Prospective Monitoring in Breast Cancer Patients Treated in the Neoadjuvant GeparQuattro Trial. Clinical Cancer Research. 16(9). 2634–2645. 398 indexed citations
8.
Cases, Julien, Alvin Ibarra, Nicolas Feuillère, Marc Roller, & Samir Giuseppe Sukkar. (2010). Pilot trial of Melissa officinalis L. leaf extract in the treatment of volunteers suffering from mild-to-moderate anxiety disorders and sleep disturbances. Mediterranean Journal of Nutrition and Metabolism. 4(3). 211–218. 93 indexed citations
9.
Scholey, Andrew, Lauren Owen, Alvin Ibarra, et al.. (2010). Effects of American ginseng (Panax quinquefolius) on neurocognitive function: an acute, randomised, double-blind, placebo-controlled, crossover study. Psychopharmacology. 212(3). 345–356. 99 indexed citations
10.
Witzel, Isabell, Sibylle Loibl, G von Minckwitz, et al.. (2010). Monitoring serum HER2 levels during neoadjuvant trastuzumab treatment within the GeparQuattro trial. Breast Cancer Research and Treatment. 123(2). 437–445. 37 indexed citations
11.
Witzel, Isabell, Volkmar Müller, Sibylle Loibl, et al.. (2010). 12 Monitoring serum HER2 levels in the neoadjuvant “Geparquattro” trial – a decrease predicts pathological complete remission. European Journal of Cancer Supplements. 8(3). 61–61. 1 indexed citations
12.
Lafay, Sophie, Caroline Jan, Alvin Ibarra, et al.. (2009). GRAPE EXTRACT IMPROVES ANTIOXIDANT STATUS AND PHYSICAL PERFORMANCE IN ELITE MALE ATHLETES. SHILAP Revista de lepidopterología. 33 indexed citations
15.
16.
Solbach, Christine, et al.. (2005). Pituitary tumor-transforming gene (PTTG): a novel target for anti-tumor therapy.. PubMed. 25(1A). 121–5. 27 indexed citations
17.
Loibl, Sibylle, G von Minckwitz, Marc Roller, et al.. (2004). The role of early expression of inducible nitric oxide synthase in human breast cancer. European Journal of Cancer. 41(2). 265–271. 77 indexed citations
18.
Yuan, Juping, Ruilan Yan, Andrea Krämer, et al.. (2004). Cyclin B1 depletion inhibits proliferation and induces apoptosis in human tumor cells. Oncogene. 23(34). 5843–5852. 186 indexed citations
19.
Strohmeier, Renate, Marc Roller, Nicole Sänger, Rainald Knecht, & Herbert Kühl. (2002). Modulation of tamoxifen-induced apoptosis by peripheral benzodiazepine receptor ligands in breast cancer cells. Biochemical Pharmacology. 64(1). 99–107. 26 indexed citations
20.
Lesage‐Meessen, Laurence, Anne Lomascolo, Estelle Bonnin, et al.. (2002). A Biotechnological Process Involving Filamentous Fungi to Produce Natural Crystalline Vanillin from Maize Bran. Applied Biochemistry and Biotechnology. 102-103(1-6). 141–154. 67 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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