Christina Schmuttermaier

21 total papers · 836 total citations
18 papers, 650 citations indexed

About

Christina Schmuttermaier is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Christina Schmuttermaier has authored 18 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Christina Schmuttermaier's work include Studies on Chitinases and Chitosanases (6 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Immune cells in cancer (3 papers). Christina Schmuttermaier is often cited by papers focused on Studies on Chitinases and Chitosanases (6 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Immune cells in cancer (3 papers). Christina Schmuttermaier collaborates with scholars based in Germany, Russia and United States. Christina Schmuttermaier's co-authors include Julia Kzhyshkowska, Alexei Gratchev, Sergij Goerdt, Srinivas Mamidi, Kai Schledzewski, Elisabeth Kremmer, Harald Klüter, Jochen Utikal, Vladimir Riabov and Bernd Arnold and has published in prestigious journals such as Blood, The Journal of Immunology and Molecular and Cellular Biology.

In The Last Decade

Christina Schmuttermaier

17 papers receiving 644 citations

Author Peers

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

Author Last Decade Papers Cites
Christina Schmuttermaier 315 314 120 64 41 18 650
Jack M. Lipman 244 0.8× 189 0.6× 154 1.3× 63 1.0× 65 1.6× 23 644
Motoo Watanabe 367 1.2× 230 0.7× 103 0.9× 42 0.7× 42 1.0× 30 736
A M Pitts 303 1.0× 181 0.6× 105 0.9× 83 1.3× 45 1.1× 25 694
Jane Gilmour 210 0.7× 342 1.1× 58 0.5× 55 0.9× 45 1.1× 19 630
Johannes U. Mayer 432 1.4× 318 1.0× 88 0.7× 59 0.9× 16 0.4× 24 789
Keying Li 255 0.8× 382 1.2× 94 0.8× 42 0.7× 29 0.7× 35 775
C. Colin Brinkman 441 1.4× 212 0.7× 219 1.8× 68 1.1× 23 0.6× 27 738
Y Ichikawa 214 0.7× 239 0.8× 152 1.3× 30 0.5× 49 1.2× 17 706
Jiansen Lu 149 0.5× 333 1.1× 122 1.0× 79 1.2× 25 0.6× 18 728
Geri Traver 225 0.7× 242 0.8× 105 0.9× 65 1.0× 22 0.5× 14 793

Countries citing papers authored by Christina Schmuttermaier

Since Specialization
Citations

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

Fields of papers citing papers by Christina Schmuttermaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Schmuttermaier

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