Monica Schaller

46 total papers · 1.1k total citations
28 papers, 879 citations indexed

About

Monica Schaller is a scholar working on Immunology, Hematology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Monica Schaller has authored 28 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 9 papers in Hematology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Monica Schaller's work include Complement system in diseases (14 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Systemic Lupus Erythematosus Research (7 papers). Monica Schaller is often cited by papers focused on Complement system in diseases (14 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Systemic Lupus Erythematosus Research (7 papers). Monica Schaller collaborates with scholars based in Switzerland, United States and Denmark. Monica Schaller's co-authors include Henrik J. Ditzel, Dennis R. Burton, Marten Trendelenburg, R. Anthony Williamson, Johanna A. Kremer Hovinga, Susan Treves, Jürg A. Schifferli, P. J. Martin, Ceylan Eken and Salima Sadallah and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Nature Immunology.

In The Last Decade

Monica Schaller

27 papers receiving 868 citations

Author Peers

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

Author Last Decade Papers Cites
Monica Schaller 497 304 249 220 117 28 879
M Kyogoku 498 1.0× 262 0.9× 240 1.0× 131 0.6× 48 0.4× 41 1.0k
Thomas Karonitsch 352 0.7× 460 1.5× 233 0.9× 56 0.3× 117 1.0× 41 980
Frank J. Waxman 648 1.3× 133 0.4× 118 0.5× 272 1.2× 91 0.8× 25 970
Eileen T. Samy 598 1.2× 139 0.5× 268 1.1× 65 0.3× 47 0.4× 24 1.1k
A.H.L. Fielder 601 1.2× 393 1.3× 125 0.5× 184 0.8× 59 0.5× 23 894
William A. Figgett 442 0.9× 181 0.6× 133 0.5× 100 0.5× 51 0.4× 18 760
Liliane Fossati 794 1.6× 393 1.3× 138 0.6× 197 0.9× 27 0.2× 26 1.0k
Kei Sakata 427 0.9× 365 1.2× 214 0.9× 45 0.2× 99 0.8× 21 892
Beate M. Rüger 318 0.6× 147 0.5× 224 0.9× 47 0.2× 116 1.0× 28 967
Yasuo Nagafuchi 381 0.8× 320 1.1× 169 0.7× 80 0.4× 41 0.4× 46 767

Countries citing papers authored by Monica Schaller

Since Specialization
Citations

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

Fields of papers citing papers by Monica Schaller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Schaller

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