Matthias P. Kramer

41 total papers · 1.4k total citations
27 papers, 793 citations indexed

About

Matthias P. Kramer is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Matthias P. Kramer has authored 27 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Oncology and 12 papers in Immunology. Recurrent topics in Matthias P. Kramer's work include Cancer-related Molecular Pathways (9 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (5 papers). Matthias P. Kramer is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (5 papers). Matthias P. Kramer collaborates with scholars based in Austria, Israel and United States. Matthias P. Kramer's co-authors include Józefa Węsierska‐Gądek, Shirly Becker-Herman, Idit Shachar, Lihi Radomir, Hadas Lewinsky, Verena M. Dirsch, Elke H. Heiß, Atanas G. Atanasov, Lev Shvidel and Lital Sever and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Matthias P. Kramer

26 papers receiving 783 citations

Author Peers

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

Author Last Decade Papers Cites
Matthias P. Kramer 367 311 236 66 60 27 793
Long Cui 284 0.8× 224 0.7× 177 0.8× 65 1.0× 43 0.7× 27 763
Y Uehara 609 1.7× 190 0.6× 212 0.9× 62 0.9× 30 0.5× 23 890
Teddy Yang 450 1.2× 141 0.5× 141 0.6× 53 0.8× 26 0.4× 23 749
Hee Yeon Won 310 0.8× 254 0.8× 118 0.5× 35 0.5× 43 0.7× 25 721
Ana Marı́a Risco 538 1.5× 162 0.5× 144 0.6× 100 1.5× 32 0.5× 27 849
Kelly A. Martin 407 1.1× 108 0.3× 238 1.0× 132 2.0× 52 0.9× 26 754
Evdokia Pasheva 474 1.3× 188 0.6× 139 0.6× 80 1.2× 38 0.6× 33 882
Robert Kiss 370 1.0× 166 0.5× 142 0.6× 113 1.7× 86 1.4× 26 714
Helong Zhao 340 0.9× 171 0.5× 166 0.7× 128 1.9× 42 0.7× 23 707
Juming Yan 315 0.9× 286 0.9× 279 1.2× 75 1.1× 60 1.0× 27 860

Countries citing papers authored by Matthias P. Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Matthias P. Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias P. Kramer. 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 Matthias P. Kramer. The network helps show where Matthias P. Kramer may publish in the future.

Co-authorship network of co-authors of Matthias P. Kramer

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias P. Kramer. A scholar is included among the top collaborators of Matthias P. Kramer 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 Matthias P. Kramer. Matthias P. Kramer 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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