Martin Schönlein

79 total papers · 2.3k total citations
9 papers, 77 citations indexed

About

Martin Schönlein is a scholar working on Oncology, Hematology and Immunology. According to data from OpenAlex, Martin Schönlein has authored 9 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Hematology and 3 papers in Immunology. Recurrent topics in Martin Schönlein's work include Telomeres, Telomerase, and Senescence (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Martin Schönlein is often cited by papers focused on Telomeres, Telomerase, and Senescence (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Martin Schönlein collaborates with scholars based in Germany, Italy and Switzerland. Martin Schönlein's co-authors include Marianne Sinn, Bernd Dörken, Mathias T. Rosenfeldt, Jan R. Dörr, Katja Weisel, Clemens A. Schmitt, Maja Milanovic, J. Henry M. Däbritz, Andreas M. Kaufmann and Marc Lütgehetmann and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Chemistry.

In The Last Decade

Martin Schönlein

7 papers receiving 77 citations

Author Peers

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

Author						Papers	Cites
Martin Schönlein	37	26	23	20	17	9	77
Ignacio Mazzitelli	21 0.6×	33 1.3×	39 1.7×	6 0.3×	52 3.1×	10	118
Rene Welch	59 1.6×	16 0.6×	36 1.6×	8 0.4×	31 1.8×	11	107
Aakash Jhaveri	29 0.8×	15 0.6×	88 3.8×	13 0.7×	25 1.5×	8	225
Alberto Villegas	44 1.2×	8 0.3×	60 2.6×	17 0.8×	15 0.9×	11	213
Christina Brummer	25 0.7×	12 0.5×	38 1.7×	5 0.3×	10 0.6×	8	81
Hélène Ruffieux	39 1.1×	12 0.5×	30 1.3×	5 0.3×	36 2.1×	7	101
Christopher Chang	52 1.4×	12 0.5×	46 2.0×	14 0.7×	38 2.2×	11	119
Tomoyo Sakata‐Kato	42 1.1×	31 1.2×	125 5.4×	9 0.5×	16 0.9×	10	227
Ivana Boďová	12 0.3×	23 0.9×	15 0.7×	24 1.2×	13 0.8×	8	71
Peiyuan Tang	69 1.9×	10 0.4×	81 3.5×	9 0.5×	19 1.1×	7	215

Countries citing papers authored by Martin Schönlein

Since Specialization

Citations

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

Fields of papers citing papers by Martin Schönlein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Schönlein

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