Markus von Deimling

70 total papers · 578 total citations
39 papers, 231 citations indexed

About

Markus von Deimling is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Urology. According to data from OpenAlex, Markus von Deimling has authored 39 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Surgery, 16 papers in Pulmonary and Respiratory Medicine and 12 papers in Urology. Recurrent topics in Markus von Deimling's work include Bladder and Urothelial Cancer Treatments (23 papers), Urinary and Genital Oncology Studies (21 papers) and Urological Disorders and Treatments (12 papers). Markus von Deimling is often cited by papers focused on Bladder and Urothelial Cancer Treatments (23 papers), Urinary and Genital Oncology Studies (21 papers) and Urological Disorders and Treatments (12 papers). Markus von Deimling collaborates with scholars based in Germany, United States and Austria. Markus von Deimling's co-authors include Shahrokh F. Shariat, Eric D. Marsh, Ingo Helbig, Takafumi Yanagisawa, Tatsushi Kawada, Benjamin Pradère, Paweł Rajwa, Ekaterina Laukhtina, Pierre I. Karakiewicz and Fahad Quhal and has published in prestigious journals such as Neuroscience, The Journal of Urology and International Journal of Cancer.

In The Last Decade

Markus von Deimling

36 papers receiving 230 citations

Author Peers

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

Author Last Decade Papers Cites
Markus von Deimling 122 71 43 43 29 39 231
B. Appel 122 1.0× 38 0.5× 43 1.0× 20 0.5× 15 0.5× 40 313
Yuka Kubota 97 0.8× 34 0.5× 37 0.9× 35 0.8× 16 0.6× 22 305
Issei Suzuki 57 0.5× 80 1.1× 71 1.7× 13 0.3× 42 1.4× 49 296
Stephan Ledderose 73 0.6× 60 0.8× 51 1.2× 31 0.7× 82 2.8× 33 284
Feixiang Wang 46 0.4× 29 0.4× 110 2.6× 26 0.6× 13 0.4× 38 261
Taizo Furukawa 212 1.7× 105 1.5× 46 1.1× 8 0.2× 42 1.4× 44 328
Shusuan Jiang 40 0.3× 98 1.4× 66 1.5× 57 1.3× 42 1.4× 27 211
Xiaoting Zhang 21 0.2× 44 0.6× 66 1.5× 25 0.6× 21 0.7× 34 301
Mohit Sharma 177 1.5× 38 0.5× 43 1.0× 6 0.1× 31 1.1× 33 292
Raj Bhanvadia 70 0.6× 98 1.4× 107 2.5× 29 0.7× 29 1.0× 31 239

Countries citing papers authored by Markus von Deimling

Since Specialization
Citations

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

Fields of papers citing papers by Markus von Deimling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus von Deimling

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

All Works

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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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