Eva‐Maria Schnaeker

9 total papers · 410 total citations
6 papers, 345 citations indexed

About

Eva‐Maria Schnaeker is a scholar working on Hematology, Immunology and Allergy and Cancer Research. According to data from OpenAlex, Eva‐Maria Schnaeker has authored 6 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Hematology, 2 papers in Immunology and Allergy and 2 papers in Cancer Research. Recurrent topics in Eva‐Maria Schnaeker's work include Protease and Inhibitor Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers) and Osteoarthritis Treatment and Mechanisms (1 paper). Eva‐Maria Schnaeker is often cited by papers focused on Protease and Inhibitor Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers) and Osteoarthritis Treatment and Mechanisms (1 paper). Eva‐Maria Schnaeker collaborates with scholars based in Germany, Czechia and United States. Eva‐Maria Schnaeker's co-authors include Stefan W. Schneider, Tobias Goerge, Hans Oberleithner, Rainer Ossig, Marianne Wilhelmi, Thomas Ludwig, Rita Dreier, Alexej Barg, Thomas A. Luger and Martin Steinhoff and has published in prestigious journals such as Cancer Research, Journal of Cellular Physiology and Thrombosis and Haemostasis.

In The Last Decade

Eva‐Maria Schnaeker

6 papers receiving 340 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 Schnaeker 113 111 92 77 72 6 345
Erna Peters 200 1.8× 113 1.0× 75 0.8× 81 1.1× 41 0.6× 7 361
Goedele Wallays 137 1.2× 145 1.3× 105 1.1× 69 0.9× 51 0.7× 10 399
Jaron Lockett 149 1.3× 155 1.4× 84 0.9× 106 1.4× 30 0.4× 7 367
Constance Weinstein 135 1.2× 174 1.6× 76 0.8× 60 0.8× 61 0.8× 6 381
Rakshitha Pandulal Miskin 148 1.3× 235 2.1× 77 0.8× 150 1.9× 123 1.7× 7 391
Ángela Pollán 208 1.8× 134 1.2× 37 0.4× 87 1.1× 57 0.8× 8 390
M. Toi 128 1.1× 69 0.6× 117 1.3× 110 1.4× 34 0.5× 8 344
Mehdi El Hour 174 1.5× 127 1.1× 46 0.5× 127 1.6× 82 1.1× 5 344
Angelica Trujillo 237 2.1× 123 1.1× 46 0.5× 72 0.9× 75 1.0× 10 398
Caitlin Foley 165 1.5× 108 1.0× 92 1.0× 63 0.8× 15 0.2× 7 356

Countries citing papers authored by Eva‐Maria Schnaeker

Since Specialization
Citations

This map shows the geographic impact of Eva‐Maria Schnaeker'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 Schnaeker 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 Schnaeker more than expected).

Fields of papers citing papers by Eva‐Maria Schnaeker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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