Eva‐Maria Blumrich

19 total papers · 498 total citations
13 papers, 254 citations indexed

About

Eva‐Maria Blumrich is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eva‐Maria Blumrich has authored 13 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eva‐Maria Blumrich's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Cellular transport and secretion (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Eva‐Maria Blumrich is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Cellular transport and secretion (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Eva‐Maria Blumrich collaborates with scholars based in Germany, United Kingdom and Denmark. Eva‐Maria Blumrich's co-authors include Ralf Dringen, Michaela C. Hohnholt, Helle S. Waagepetersen, Michael A. Cousin, Callista B. Harper, Nadine Sus, Heike Asseburg, Jan Frank, Stephanie Hagl and Gunter P. Eckert and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cell Reports.

In The Last Decade

Eva‐Maria Blumrich

13 papers receiving 254 citations

Author Peers

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

Author Last Decade Papers Cites
Eva‐Maria Blumrich 112 58 54 52 26 13 254
Qilin Guo 103 0.9× 35 0.6× 41 0.8× 58 1.1× 27 1.0× 14 265
Canhong Yang 163 1.5× 41 0.7× 33 0.6× 77 1.5× 29 1.1× 20 331
Alex Nackenoff 98 0.9× 76 1.3× 48 0.9× 31 0.6× 15 0.6× 13 258
Danfang Yu 83 0.7× 61 1.1× 63 1.2× 25 0.5× 21 0.8× 13 285
Serena Marcelli 140 1.3× 79 1.4× 36 0.7× 23 0.4× 13 0.5× 8 295
David A. Hottman 128 1.1× 95 1.6× 52 1.0× 36 0.7× 15 0.6× 8 292
Chie Shimamoto 201 1.8× 56 1.0× 63 1.2× 32 0.6× 41 1.6× 9 320
Jun-Ye MIAO 135 1.2× 104 1.8× 29 0.5× 74 1.4× 16 0.6× 11 319
Andrey Y. Vinokurov 165 1.5× 86 1.5× 42 0.8× 34 0.7× 12 0.5× 28 327
Nadezhda V. Azbukina 85 0.8× 32 0.6× 27 0.5× 74 1.4× 25 1.0× 19 288

Countries citing papers authored by Eva‐Maria Blumrich

Since Specialization
Citations

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

Fields of papers citing papers by Eva‐Maria Blumrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva‐Maria Blumrich. 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 Eva‐Maria Blumrich. The network helps show where Eva‐Maria Blumrich may publish in the future.

Co-authorship network of co-authors of Eva‐Maria Blumrich

This figure shows the co-authorship network connecting the top 25 collaborators of Eva‐Maria Blumrich. A scholar is included among the top collaborators of Eva‐Maria Blumrich 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 Eva‐Maria Blumrich. Eva‐Maria Blumrich 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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