Markus Becker

999 total citations
37 papers, 579 citations indexed

About

Markus Becker is a scholar working on Surgery, Cancer Research and Molecular Biology. According to data from OpenAlex, Markus Becker has authored 37 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 8 papers in Cancer Research and 7 papers in Molecular Biology. Recurrent topics in Markus Becker's work include Bladder and Urothelial Cancer Treatments (11 papers), Urinary and Genital Oncology Studies (7 papers) and Protease and Inhibitor Mechanisms (5 papers). Markus Becker is often cited by papers focused on Bladder and Urothelial Cancer Treatments (11 papers), Urinary and Genital Oncology Studies (7 papers) and Protease and Inhibitor Mechanisms (5 papers). Markus Becker collaborates with scholars based in Germany, Hungary and United States. Markus Becker's co-authors include H. Rübben, Tibor Szarvas, F. vom Dorp, Imre Romics, Kurt Werner Schmid, Ágnes Bánkfalvi, Martin Tötsch, Süleyman Ergün, Thomas Wild and H. Anetzberger and has published in prestigious journals such as Cancer, Cancer Research and Journal of Applied Physiology.

In The Last Decade

Markus Becker

34 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Becker Germany 13 178 145 132 130 82 37 579
Eric S. Christenson United States 13 51 0.3× 122 0.8× 171 1.3× 316 2.4× 55 0.7× 44 669
Pengfei Huang China 13 119 0.7× 71 0.5× 198 1.5× 168 1.3× 62 0.8× 23 565
Simona Scalone Italy 16 76 0.4× 144 1.0× 207 1.6× 410 3.2× 60 0.7× 55 784
Swee Eng Aw Singapore 14 107 0.6× 65 0.4× 238 1.8× 138 1.1× 36 0.4× 36 687
Nae Choon Yoo South Korea 17 172 1.0× 101 0.7× 320 2.4× 415 3.2× 61 0.7× 55 976
Narayanam V. Rao United States 14 45 0.3× 134 0.9× 205 1.6× 82 0.6× 18 0.2× 18 747
Yoshihiro Fujii Japan 14 55 0.3× 73 0.5× 305 2.3× 107 0.8× 69 0.8× 34 667
Naoki Morimoto Japan 13 123 0.7× 73 0.5× 128 1.0× 113 0.9× 108 1.3× 61 707
Petra Heyder Germany 18 68 0.4× 110 0.8× 624 4.7× 87 0.7× 49 0.6× 24 1.5k
Yun Qian China 13 105 0.6× 109 0.8× 207 1.6× 155 1.2× 12 0.1× 29 686

Countries citing papers authored by Markus Becker

Since Specialization
Citations

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

Fields of papers citing papers by Markus Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Becker. A scholar is included among the top collaborators of Markus 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 Markus Becker. Markus Becker 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.
Neves, Mariana, Fanny Knöspel, Ailine Stolz, et al.. (2023). Automatic classification of experimental models in biomedical literature to support searching for alternative methods to animal experiments. Journal of Biomedical Semantics. 14(1). 13–13. 2 indexed citations
2.
Wild, Thomas, et al.. (2018). Hyperspectral imaging of tissue perfusion and oxygenation in wounds: assessing the impact of a micro capillary dressing. Journal of Wound Care. 27(1). 38–51. 24 indexed citations
3.
Becker, Markus, Thomas Wild, & Christos C. Zouboulis. (2016). Objective assessment of acne. Clinics in Dermatology. 35(2). 147–155. 17 indexed citations
4.
Szarvas, Tibor, Markus Becker, Stephan Tschirdewahn, et al.. (2011). Validation of Circulating MMP-7 Level as an Independent Prognostic Marker of Poor Survival in Urinary Bladder Cancer. Pathology & Oncology Research. 17(2). 325–332. 39 indexed citations
5.
Szarvas, Tibor, Falk Hoffmann, Markus Becker, et al.. (2010). Plasmakonzentrationen von E-Cadherin bei Tumorerkrankungen der Harnblase. Der Urologe. 50(1). 64–70. 4 indexed citations
6.
Szarvas, Tibor, Markus Becker, F. vom Dorp, et al.. (2010). Matrix metalloproteinase‐7 as a marker of metastasis and predictor of poor survival in bladder cancer. Cancer Science. 101(5). 1300–1308. 93 indexed citations
7.
Becker, Markus, Tibor Szarvas, F. vom Dorp, et al.. (2010). Prognostic impact of plasminogen activator inhibitor type 1 expression in bladder cancer. Cancer. 116(19). 4502–4512. 25 indexed citations
8.
Dorp, F. vom, Stephan Tschirdewahn, Roberto Rossi, et al.. (2010). Correlation of Pathological and Cytological-Cytometric Grading of Transitional Cell Carcinoma of the Urinary Tract. Urologia Internationalis. 86(1). 36–40. 7 indexed citations
9.
Becker, Markus, Derya Tilki, Tibor Szarvas, H. Rübben, & Süleyman Ergün. (2009). Urinbasierte Angiogenesemarker beim Urothelkarzinom der Harnblase. Der Urologe. 48(6). 609–614. 2 indexed citations
10.
Tschirdewahn, Stephan, et al.. (2009). Urinzytologische Diagnostik vor dem Hintergrund der neuen histopathologischen Klassifikation. Der Urologe. 48(6). 615–618. 4 indexed citations
11.
Niedworok, Christian, Oliver W. Hakenberg, R. Rossi, et al.. (2009). Stellenwert der Urinzytologie in der Diagnostik von High-grade-Urotheltumoren*. Der Urologe. 48(9). 1018–1024. 7 indexed citations
12.
Dorp, F. vom, et al.. (2008). Der Stellenwert der Targeted-Therapie beim Prostatakarzinom. Der Urologe. 47(10). 1315–1319.
13.
Dorp, F. vom, et al.. (2008). Rolle der Lymphadenektomie bei Patienten mit invasivem Urothelkarzinom der Harnblase. Der Urologe. 48(1). 51–53. 7 indexed citations
14.
Dorp, F. vom, et al.. (2008). Von der Markerexpression zur individuellen Prognoseabschätzung urothelialer Neoplasien. Der Urologe. 47(9). 1167–1170.
15.
Szarvas, Tibor, Markus Becker, Ilona Kovalszky, et al.. (2008). Serum Levels of Angiogenic Factors and their Prognostic Relevance in Bladder Cancer. Pathology & Oncology Research. 15(2). 193–201. 31 indexed citations
16.
Anetzberger, H., et al.. (2004). Microspheres Accurately Predict Regional Bone Blood Flow. Clinical Orthopaedics and Related Research. 424(424). 253–265. 21 indexed citations
17.
Anetzberger, H., E. Thein, Markus Becker, Autar K. Walli, & K. Meßmer. (2003). Validity of fluorescent microspheres method for bone blood flow measurement during intentional arterial hypotension. Journal of Applied Physiology. 95(3). 1153–1158. 12 indexed citations
18.
Becker, Markus, Gerhard Franz, & Susanne Alban. (2003). Inhibition of PMN-elastase activity by semisynthetic glucan sulfates. Thrombosis and Haemostasis. 89(5). 915–925. 21 indexed citations
19.
Port, Ruediger E., et al.. (1999). Local disposition kinetics of floxuridine after intratumoral and subcutaneous injection as monitored by [ 19 F]-nuclear magnetic resonance spectroscopy in vivo. Cancer Chemotherapy and Pharmacology. 44(1). 65–73. 7 indexed citations
20.
Becker, Markus, et al.. (1998). Monitoring Local Disposition Kinetics of Carboplatinin Vivoafter Subcutaneous Injection in Rats by Means of195Pt NMR. Journal of Magnetic Resonance. 133(1). 115–122. 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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