Roland Schmitz

153 total papers · 12.9k total citations
65 papers, 2.9k citations indexed

About

Roland Schmitz is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Roland Schmitz has authored 65 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pathology and Forensic Medicine, 16 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Roland Schmitz's work include Lymphoma Diagnosis and Treatment (22 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Bacterial Identification and Susceptibility Testing (8 papers). Roland Schmitz is often cited by papers focused on Lymphoma Diagnosis and Treatment (22 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Bacterial Identification and Susceptibility Testing (8 papers). Roland Schmitz collaborates with scholars based in Germany, United States and United Kingdom. Roland Schmitz's co-authors include Ralf Küppers, Martin‐Leo Hansmann, Louis M. Staudt, George W. Wright, Jens Stanelle, Michele Ceribelli, James D. Phelan, Ryan M. Young, Reiner Siebert and Stefan Gesk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Roland Schmitz

61 papers receiving 2.9k citations

Hit Papers

A Probabilistic Classific... 2020 2026 2022 2024 2020 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Roland Schmitz 1.3k 891 753 669 569 65 2.9k
Fred R. Dick 1.0k 0.7× 615 0.7× 271 0.4× 344 0.5× 705 1.2× 55 2.6k
Alexandra Nieters 854 0.6× 753 0.8× 672 0.9× 563 0.8× 241 0.4× 79 2.9k
Jia Ruan 1.8k 1.3× 1.5k 1.7× 969 1.3× 510 0.8× 904 1.6× 147 3.5k
Sumio Sakamaki 438 0.3× 927 1.0× 1.0k 1.3× 499 0.7× 336 0.6× 89 3.3k
Piotr Smolewski 650 0.5× 813 0.9× 1.8k 2.4× 804 1.2× 658 1.2× 172 3.5k
Gemma L. Kelly 829 0.6× 1.9k 2.1× 2.3k 3.0× 690 1.0× 232 0.4× 58 4.2k
Emmanuel Gyan 1.1k 0.8× 1.0k 1.1× 576 0.8× 394 0.6× 790 1.4× 166 2.7k
Eisaburo Sueoka 1.6k 1.2× 996 1.1× 1.6k 2.1× 603 0.9× 107 0.2× 123 4.6k
Sanjay Gupta 543 0.4× 761 0.9× 1.2k 1.6× 1.5k 2.2× 152 0.3× 101 4.4k
Anil Tulpule 1.7k 1.3× 2.6k 2.9× 1.6k 2.2× 388 0.6× 747 1.3× 92 4.6k

Countries citing papers authored by Roland Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by Roland Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Schmitz

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Schmitz. A scholar is included among the top collaborators of Roland Schmitz 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 Roland Schmitz. Roland Schmitz 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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