Martin Friedrich

1.2k total citations
17 papers, 758 citations indexed

About

Martin Friedrich is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Martin Friedrich has authored 17 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 7 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Martin Friedrich's work include Bladder and Urothelial Cancer Treatments (10 papers), Urinary and Genital Oncology Studies (6 papers) and Epigenetics and DNA Methylation (2 papers). Martin Friedrich is often cited by papers focused on Bladder and Urothelial Cancer Treatments (10 papers), Urinary and Genital Oncology Studies (6 papers) and Epigenetics and DNA Methylation (2 papers). Martin Friedrich collaborates with scholars based in Germany, Austria and United States. Martin Friedrich's co-authors include Hartwig Huland, Felix K.‐H. Chun, S. Conrad, Michael Rink, Hartwig Schwaibold, Sabine Riethdorf, Shahrokh F. Shariat, Sarah Minner, Klaus Pantel and Uwe Pichlmeier and has published in prestigious journals such as Spine, The Journal of Urology and Annals of the Rheumatic Diseases.

In The Last Decade

Martin Friedrich

17 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Friedrich Germany 12 441 244 219 142 127 17 758
Stefan Aufderklamm Germany 18 515 1.2× 221 0.9× 182 0.8× 118 0.8× 205 1.6× 74 830
Laura‐Maria Krabbe Germany 13 221 0.5× 154 0.6× 122 0.6× 182 1.3× 433 3.4× 46 651
Luis Kluth Germany 15 331 0.8× 113 0.5× 152 0.7× 65 0.5× 240 1.9× 53 632
Tatsuya Chikaraishi Japan 11 188 0.4× 94 0.4× 291 1.3× 262 1.8× 149 1.2× 66 692
Thomas Schnoeller Germany 14 209 0.5× 166 0.7× 147 0.7× 237 1.7× 557 4.4× 23 791
Naotaka Sakamoto Japan 16 244 0.6× 220 0.9× 125 0.6× 47 0.3× 250 2.0× 50 560
Alexandre Crippa Brazil 10 166 0.4× 114 0.5× 133 0.6× 101 0.7× 229 1.8× 33 441
Keijiro Kiyoshima Japan 14 290 0.7× 151 0.6× 197 0.9× 114 0.8× 467 3.7× 41 850
Abbie L. Fields United States 19 325 0.7× 318 1.3× 272 1.2× 93 0.7× 113 0.9× 43 1.2k
Toshikazu Okaneya Japan 12 124 0.3× 124 0.5× 141 0.6× 47 0.3× 152 1.2× 51 423

Countries citing papers authored by Martin Friedrich

Since Specialization
Citations

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

Fields of papers citing papers by Martin Friedrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Friedrich

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

All Works

17 of 17 papers shown
1.
Blüml, Stephan, Martin Friedrich, Emine Sahin, et al.. (2013). Loss of phosphatase and tensin homolog (PTEN) in myeloid cells controls inflammatory bone destruction by regulating the osteoclastogenic potential of myeloid cells. Annals of the Rheumatic Diseases. 74(1). 227–233. 40 indexed citations
2.
Rink, Michael, Felix K.‐H. Chun, Roland Dahlem, et al.. (2012). Prognostic Role and HER2 Expression of Circulating Tumor Cells in Peripheral Blood of Patients Prior to Radical Cystectomy: A Prospective Study. European Urology. 61(4). 810–817. 135 indexed citations
3.
Rink, Michael, Felix K.‐H. Chun, Sarah Minner, et al.. (2010). Detection of circulating tumour cells in peripheral blood of patients with advanced non‐metastatic bladder cancer. British Journal of Urology. 107(10). 1668–1675. 89 indexed citations
4.
Spath, Brigitte, Martin Friedrich, Felix K.‐H. Chun, et al.. (2009). Tissue factor procoagulant activity of plasma microparticles is increased in patients with early-stage prostate cancer. Thrombosis and Haemostasis. 101(6). 1147–1155. 59 indexed citations
5.
Rink, Michael, Lars Budäus, Hansjörg Schäfer, et al.. (2009). Parathyroid Hormone-Related Protein and Granulocyte Colony-Stimulating Factor Overexpression in Poorly Differentiated Bladder Cancer Correlated with Decreasing Vigilance. Current Urology. 3(1). 53–56. 1 indexed citations
6.
Hutterer, Georg C., Pierre I. Karakiewicz, Craig D. Zippe, et al.. (2008). Urinary cytology and nuclear matrix protein 22 in the detection of bladder cancer recurrence other than transitional cell carcinoma. British Journal of Urology. 101(5). 561–565. 26 indexed citations
7.
Chun, Felix K.‐H., Ali Amirkhosravi, Martin Friedrich, et al.. (2007). Plasma tissue factor antigen in localized prostate cancer: Distribution, clinical significance and correlation with haemostatic activation markers. Thrombosis and Haemostasis. 97(3). 464–470. 28 indexed citations
8.
9.
Friedrich, Klaus, et al.. (2007). High-Field Magnetic Resonance Imaging of Meniscoids in the Zygapophyseal Joints of the Human Cervical Spine. Spine. 32(2). 244–248. 14 indexed citations
10.
Karakiewicz, Pierre I., Serge Benayoun, Craig D. Zippe, et al.. (2006). Institutional variability in the accuracy of urinary cytology for predicting recurrence of transitional cell carcinoma of the bladder. British Journal of Urology. 97(5). 997–1001. 140 indexed citations
11.
Irmak, Ster, Derya Tilki, Jochen Heukeshoven, et al.. (2005). Stage‐dependent increase of orosomucoid and zinc‐alpha 2 ‐glycoprotein in urinary bladder cancer. PROTEOMICS. 5(16). 4296–4304. 80 indexed citations
12.
Riethdorf, Sabine, Andreas Erbersdobler, Lutz Riethdorf, et al.. (2005). Detection of human telomerase RNA in the tumour‐surrounding mucosa of bladder carcinomas as a marker for premalignant transformation. British Journal of Urology. 96(4). 553–557. 5 indexed citations
13.
Friedrich, Martin, A. Hellstern, S. Hautmann, & Hartwig Huland. (2002). Are false positive urine tests in the diagnosis of bladder cancer really wrong - or do they predict tumour recurrence?. European Urology Supplements. 1(1). 48–48. 1 indexed citations
14.
15.
Büsch, Thomas, Horia Sı̂rbu, S. Kazmaier, et al.. (2001). Single atriocaval cannulation is associated with increased incidence of hypercirculatory failure after cardiopulmonary bypass.. PubMed. 7(4). 210–5. 2 indexed citations
16.
Friedrich, Martin, Andreas Erbersdobler, Hartwig Schwaibold, et al.. (2000). DETECTION OF LOSS OF HETEROZYGOSITY IN THE P53 TUMOR-SUPPRESSOR GENE WITH PCR IN THE URINE OF PATIENTS WITH BLADDER CANCER. The Journal of Urology. 163(3). 1039–1042. 14 indexed citations
17.
Friedrich, Martin, et al.. (1997). p53 in noncancerous bladder mucosa as a marker of disease recurrence in patients with superficial transitional cell carcinoma of the bladder. Urologic Oncology Seminars and Original Investigations. 3(4). 125–131. 3 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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