Martin Schramm

47 total papers · 690 total citations
29 papers, 500 citations indexed

About

Martin Schramm is a scholar working on Surgery, Molecular Biology and Epidemiology. According to data from OpenAlex, Martin Schramm has authored 29 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 8 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Martin Schramm's work include Oral Health Pathology and Treatment (5 papers), Ion channel regulation and function (4 papers) and Epigenetics and DNA Methylation (3 papers). Martin Schramm is often cited by papers focused on Oral Health Pathology and Treatment (5 papers), Ion channel regulation and function (4 papers) and Epigenetics and DNA Methylation (3 papers). Martin Schramm collaborates with scholars based in Germany, Monaco and France. Martin Schramm's co-authors include Stefan Biesterfeld, Natalia Pomjanski, Rolf Vajna, Heike I. Grabsch, Alexei Pereverzev, Toni Schneider, Udo Klöckner, Alfred Böcking, Christian Wrobel and Margit Henry and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience.

In The Last Decade

Martin Schramm

27 papers receiving 494 citations

Author Peers

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

Author Last Decade Papers Cites
Martin Schramm 279 105 92 84 69 29 500
Yi Yan 234 0.8× 46 0.4× 28 0.3× 97 1.2× 64 0.9× 27 449
Chen-Yi Tang 272 1.0× 42 0.4× 29 0.3× 89 1.1× 77 1.1× 22 491
Hajime Amano 108 0.4× 81 0.8× 48 0.5× 31 0.4× 138 2.0× 41 489
Meilin Weng 176 0.6× 80 0.8× 39 0.4× 92 1.1× 91 1.3× 27 505
Chi‐Sheng Wu 285 1.0× 44 0.4× 17 0.2× 103 1.2× 70 1.0× 25 458
Tomohisa Sekimoto 314 1.1× 133 1.3× 33 0.4× 81 1.0× 79 1.1× 33 588
Mei Chung Moh 283 1.0× 51 0.5× 51 0.6× 67 0.8× 95 1.4× 27 580
Francesca Rusconi 384 1.4× 46 0.4× 43 0.5× 68 0.8× 87 1.3× 28 614
F. García-Bragado 237 0.8× 130 1.2× 86 0.9× 33 0.4× 89 1.3× 37 590
Peiliang Lin 243 0.9× 122 1.2× 16 0.2× 119 1.4× 81 1.2× 40 560

Countries citing papers authored by Martin Schramm

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schramm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Schramm

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