Markus A. Kuczyk

17.2k total citations · 5 hit papers
281 papers, 11.3k citations indexed

About

Markus A. Kuczyk is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Markus A. Kuczyk has authored 281 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Pulmonary and Respiratory Medicine, 95 papers in Molecular Biology and 90 papers in Surgery. Recurrent topics in Markus A. Kuczyk's work include Renal cell carcinoma treatment (80 papers), Renal and related cancers (57 papers) and Bladder and Urothelial Cancer Treatments (54 papers). Markus A. Kuczyk is often cited by papers focused on Renal cell carcinoma treatment (80 papers), Renal and related cancers (57 papers) and Bladder and Urothelial Cancer Treatments (54 papers). Markus A. Kuczyk collaborates with scholars based in Germany, Italy and Sweden. Markus A. Kuczyk's co-authors include Axel S. Merseburger, Börje Ljungberg, Milan Hora, Peter F.A. Mulders, Axel Bex, Michael Staehler, Saeed Dabestani, Thomas Lam, Karim Bensalah and Alessandro Volpe and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Markus A. Kuczyk

274 papers receiving 11.1k citations

Hit Papers

EAU Guidelines on Renal C... 2010 2026 2015 2020 2015 2010 2019 2011 2015 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Markus A. Kuczyk 7.1k 5.3k 3.3k 1.8k 1.8k 281 11.3k
Ganesh V. Raj 5.8k 0.8× 4.0k 0.8× 3.2k 1.0× 2.2k 1.2× 1.8k 1.0× 195 11.5k
Axel S. Merseburger 9.6k 1.4× 5.9k 1.1× 4.1k 1.2× 2.5k 1.4× 2.6k 1.5× 421 14.3k
Surena F. Matin 8.0k 1.1× 5.1k 1.0× 6.6k 2.0× 1.9k 1.0× 1.8k 1.0× 392 13.1k
Leonard G. Gomella 6.7k 0.9× 3.4k 0.6× 2.6k 0.8× 2.5k 1.4× 2.5k 1.4× 385 12.7k
Mitchell C. Benson 8.6k 1.2× 3.9k 0.7× 3.1k 1.0× 2.8k 1.6× 2.2k 1.2× 268 13.3k
Brian R. Lane 9.4k 1.3× 6.0k 1.1× 3.2k 1.0× 1.2k 0.6× 913 0.5× 264 12.1k
Olivier Cussenot 4.8k 0.7× 3.5k 0.7× 3.5k 1.1× 1.7k 0.9× 1.4k 0.8× 437 10.8k
Pheroze Tamboli 6.6k 0.9× 5.0k 0.9× 3.1k 0.9× 2.0k 1.1× 2.6k 1.5× 197 9.8k
Dominique Chopin 5.4k 0.8× 4.7k 0.9× 5.0k 1.5× 1.7k 0.9× 1.3k 0.7× 257 11.6k
Christopher G. Wood 9.2k 1.3× 7.4k 1.4× 6.0k 1.8× 3.3k 1.9× 4.1k 2.3× 409 16.0k

Countries citing papers authored by Markus A. Kuczyk

Since Specialization
Citations

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

Fields of papers citing papers by Markus A. Kuczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus A. Kuczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Markus A. Kuczyk. A scholar is included among the top collaborators of Markus A. Kuczyk 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 A. Kuczyk. Markus A. Kuczyk 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.
Harke, Nina N., Christoph Czerner, Tobias L. Roß, et al.. (2024). Feasibility of Using a Novel Drop-In Gamma Probe for 99mTc-PSMA-I&S–Guided Lymph Node Detection During Robot-Assisted Radical Prostatectomy for Primary Prostate Cancer. Clinical Nuclear Medicine. 49(10). 948–952. 1 indexed citations
3.
Wolters, Mathias, et al.. (2024). Real-world experience of water vapour therapy (Rezum) in patients with benign prostatic enlargement: a retrospective single-center study. Prostate Cancer and Prostatic Diseases. 28(1). 160–166. 4 indexed citations
4.
Harke, Nina N., Sarah Strauß, Inga Peters, et al.. (2023). Spider silk erectile nerve reconstruction in robot-assisted radical prostatectomy: a first-in-men feasibility analysis. World Journal of Urology. 41(6). 1481–1487. 2 indexed citations
5.
Tsikas, Dimitrios, et al.. (2023). Fibrotic Diseases of the Human Urinary and Genital Tract: Current Understanding and Potential Strategies for Treatment. Journal of Clinical Medicine. 12(14). 4770–4770. 3 indexed citations
6.
7.
Struck, Julian P., Marie C. Hupe, A. Heinisch, et al.. (2021). RLC score (R status, lymphovascular invasion, C-reactive protein) predicts survival following radical cystectomy for muscle-invasive bladder cancer. Aktuelle Urologie. 53(6). 545–551. 2 indexed citations
8.
López, Luis E., Marie C. Hupe, Diogo O. Escudero, et al.. (2021). HYAL4-V1/Chondroitinase (Chase) Drives Gemcitabine Resistance and Predicts Chemotherapy Failure in Patients with Bladder Cancer. Clinical Cancer Research. 27(15). 4410–4421. 11 indexed citations
9.
Serth, Jürgen, Inga Peters, Natalia Dubrowinskaja, et al.. (2020). Age-, tumor-, and metastatic tissue-associated DNA hypermethylation of a T-box brain 1 locus in human kidney tissue. Clinical Epigenetics. 12(1). 33–33. 10 indexed citations
10.
Kallifatidis, Georgios, Jie Gao, Martin Hennig, et al.. (2019). β-Arrestins Regulate Stem Cell-Like Phenotype and Response to Chemotherapy in Bladder Cancer. Molecular Cancer Therapeutics. 18(4). 801–811. 33 indexed citations
11.
Bex, Axel, Laurence Albigès, Börje Ljungberg, et al.. (2018). Updated European Association of Urology Guidelines for Cytoreductive Nephrectomy in Patients with Synchronous Metastatic Clear-cell Renal Cell Carcinoma. European Urology. 74(6). 805–809. 69 indexed citations
12.
Berding, Georg, Florian Wilke, Axel S. Merseburger, et al.. (2017). Expert System for Bone Scan Interpretation Improves Progression Assessment in Bone Metastatic Prostate Cancer. Advances in Therapy. 34(4). 986–994. 8 indexed citations
15.
Wolters, Mathias, Florian Imkamp, Christoph von Klot, et al.. (2014). Laparoendoscopic Single-Incision Triangulated Umbilical Surgery for Partial Nephrectomy: Early Experience in the First 13 Cases. Videourology. 29(3). 2 indexed citations
16.
Imkamp, Florian, Markus A. Kuczyk, Udo Nagele, & Thomas Herrmann. (2013). Single-Incision Pyeloplasty—As Feasible As Laparoscopic Pyeloplasty? Results of the Initial Nine Cases. Videourology. 27(3). 3 indexed citations
17.
Kramer, Mario W., Sandra Waalkes, Jürgen Serth, et al.. (2011). Decreased Galectin-8 Is a Strong Marker for Recurrence in Urothelial Carcinoma of the Bladder. Urologia Internationalis. 87(2). 143–150. 23 indexed citations
18.
Lorenzen, Johan M., Stefan Ückert, Friedemann Scheller, Hermann Haller, & Markus A. Kuczyk. (2009). Effects of arginase inhibitors on the contractile and relaxant responses of isolated human penile erectile tissue. World Journal of Urology. 27(6). 805–810. 9 indexed citations
19.
Sievert, Karl‐Dietrich, Bastian Amend, Steven K. Wilson, et al.. (2008). Fast Implantation of an Artificial Urethral Sphincter Through a Peno-scrotal Approach.
20.
Merseburger, Axel S., Joerg Hennenlotter, Arnulf Stenzl, et al.. (2007). Cathepsin D Serum Levels Are Not a Valid Serum Marker in Renal Cell Carcinoma. Urologia Internationalis. 79(1). 41–43. 11 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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