Martina Becker

811 total citations
31 papers, 504 citations indexed

About

Martina Becker is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Martina Becker has authored 31 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Martina Becker's work include Cancer-related Molecular Pathways (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Glioma Diagnosis and Treatment (2 papers). Martina Becker is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Glioma Diagnosis and Treatment (2 papers). Martina Becker collaborates with scholars based in Germany, United States and United Kingdom. Martina Becker's co-authors include Thomas Schöndorf, Christian M. Kurbacher, Andreas Moritz, Uwe-Jochen Göhring, Urs Giger, Haim A. Abenhaim, Susan R. Kahn, Thomas Lehrnbecher, Thomas Klingebiel and Rainer Neumann and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Letters and Investigative Ophthalmology & Visual Science.

In The Last Decade

Martina Becker

29 papers receiving 490 citations

Peers

Martina Becker

ONCOL

EPIDE

PFM

Roula Farah Lebanon

Woo Sung Min South Korea

Ahmet Emre Eşkazan Türkiye

Shigeyoshi Makino Japan

Afonso Celso Vigorito Brazil

Robert Bélanger Canada

J. A. Liu Yin United Kingdom

Ashish Kumar Mandal India

Nobuhiro Hiramoto Japan

Patricia Chavarin France

Roula Farah Lebanon

Martina Becker

91 ×0.6

ONCOL

116 ×0.9

54 ×0.6

EPIDE

73 ×0.9

PFM

25 ×0.4

Citations per year, relative to Martina Becker Martina Becker (= 1×) peers Roula Farah

Countries citing papers authored by Martina Becker

Since Specialization

Citations

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

Fields of papers citing papers by Martina Becker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Becker

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

All Works

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20 of 20 papers shown

Obrecht, Denise, Elke Pfaff, Martin Mynarek, et al.. (2024). Pineal anlage tumor: clinical and diagnostic features, and rationales for treatment. Journal of Neuro-Oncology. 166(2). 359–368.

Schönberger, Stefan, Mahsa Mohseni, Jörg Ellinger, et al.. (2022). MicroRNA-profiling of miR-371~373- and miR-302/367-clusters in serum and cerebrospinal fluid identify patients with intracranial germ cell tumors. Journal of Cancer Research and Clinical Oncology. 149(2). 791–802. 14 indexed citations

Graber, Christoph B., Kern Alexander, Martina Becker, et al.. (2022). Introduction to Swiss Law. Zurich Open Repository and Archive (University of Zurich).

Grajewski, Rafael S., Alexander C. Rokohl, Martina Becker, Friedrich Paulsen, & Ludwig M. Heindl. (2020). Malignancy going viral: ACE2 and TMPRSS2 expression in conjunctival neoplastic diseases. Annals of Anatomy - Anatomischer Anzeiger. 234. 151661–151661. 4 indexed citations

Lonsdorf, Anke S., Martina Becker, Eggert Stockfleth, Knut Schäkel, & Claas Ulrich. (2010). Primär- und Sekundärprophylaxe von Hauttumoren nach Organtransplantation. Der Hautarzt. 61(3). 195–206. 9 indexed citations

Becker, Martina, Andreas Moritz, & Urs Giger. (2008). Comparative clinical study of canine and feline total blood cell count results with seven in‐clinic and two commercial laboratory hematology analyzers. Veterinary Clinical Pathology. 37(4). 373–384. 46 indexed citations

Becker, Martina, Natali Bauer, & Andreas Moritz. (2008). Automated flow cytometric cell count and differentiation of canine cerebrospinal fluid cells using the ADVIA 2120. Veterinary Clinical Pathology. 37(3). 344–352. 14 indexed citations

Sørensen, Jan Tind, Martina Becker, Luciana Porto, et al.. (2006). Rhinocerebral zygomycosis in a young girl undergoing allogeneic stem cell transplantation for severe aplastic anaemia. Mycoses. 49(s1). 31–36. 19 indexed citations

Lehrnbecher, Thomas, Martina Becker, Dirk Schwabe, et al.. (2006). PRIMARY INTESTINAL ASPERGILLOSIS AFTER HIGH-DOSE CHEMOTHERAPY AND AUTOLOGOUS STEM CELL RESCUE. The Pediatric Infectious Disease Journal. 25(5). 465–466. 14 indexed citations

10.

Eisele, Lewin, Markus M. Valter, Mathias Warm, et al.. (2004). The V109G Polymorphism of the p27 Gene <i>CDKN1B</i> Indicates a Worse Outcome in Node-Negative Breast Cancer Patients. Tumor Biology. 25(5-6). 306–312. 19 indexed citations

11.

Schöndorf, Thomas, Markus Hoopmann, Martina Breidenbach, et al.. (2004). Dysregulation of protein kinase C activity in chemoresistant metastatic breast cancer cells. Anti-Cancer Drugs. 15(3). 265–268. 6 indexed citations

12.

Schöndorf, Thomas, Uwe-Jochen Göhring, Martina Becker, et al.. (2004). High Apoptotic Index Correlates to p21 and p27 Expression Indicating a Favorable Outcome of Primary Breast Cancer Patients, but Lacking Prognostic Significance in Multivariate Analysis. Pathobiology. 71(4). 217–222. 9 indexed citations

13.

Schöndorf, Thomas, Rainer Neumann, C Benz, et al.. (2003). Cisplatin, Doxorubicin and Paclitaxel Induce mdr1 Gene Transcription in Ovarian Cancer Cell Lines. Recent results in cancer research. 161. 111–116. 34 indexed citations

14.

Schöndorf, Thomas, Gernot Wassmer, Mathias Warm, et al.. (2003). Association of the Vitamin D Receptor Genotype with Bone Metastases in Breast Cancer Patients. Oncology. 64(2). 154–159. 11 indexed citations

15.

Göhring, Uwe-Jochen, et al.. (2002). Lack of prognostic significance of nm23 expression in human primary breast cancer. Oncology Reports. 9(6). 1205–8. 6 indexed citations

16.

Schöndorf, Thomas, et al.. (2001). Ex vivo assays to evaluate the role of protein kinase C in tumor cells of patients with breast cancer.. PubMed. 20(6D). 5073–6. 2 indexed citations

17.

Schöndorf, Thomas, et al.. (2001). Interaction of cisplatin, paclitaxel and adriamycin with the tumor suppressor PTEN. Anti-Cancer Drugs. 12(10). 797–800. 10 indexed citations

18.

Becker, Martina, et al.. (1999). Immunohistochemical Detection of H-ras Protooncoprotein p21 Indicates Favorable Prognosis in Node-Negative Breast Cancer Patients. Tumor Biology. 20(4). 173–183. 19 indexed citations

19.

Schöndorf, Thomas, Anton Scharl, Christian M. Kurbacher, et al.. (1999). Amplification of the mdr1-gene is uncommon in recurrent ovarian carcinomas. Cancer Letters. 146(2). 195–199. 12 indexed citations

20.

Becker, Martina, et al.. (1997). Pappataci-Fieber. Klinische Pädiatrie. 209(6). 377–379. 15 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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