Claudia Metz

56 total papers · 1.4k total citations
23 papers, 1.1k citations indexed

About

Claudia Metz is a scholar working on Molecular Biology, Immunology and Experimental and Cognitive Psychology. According to data from OpenAlex, Claudia Metz has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Claudia Metz's work include Galectins and Cancer Biology (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers). Claudia Metz is often cited by papers focused on Galectins and Cancer Biology (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers). Claudia Metz collaborates with scholars based in Chile, United States and Canada. Claudia Metz's co-authors include Paul J. Ambrosini, HARRIS RABINOVICH, David S. Bennett, Jar-Chi Lee, Alfonso González, Ashiwel S. Undie, Andrea Soza, Loreto Massardo, Claudia Oyanadel and Cláudio Retamal and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American Academy of Child & Adolescent Psychiatry and Molecular Biology of the Cell.

In The Last Decade

Claudia Metz

23 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Claudia Metz 452 243 239 176 169 23 1.1k
Niklas Nordquist 473 1.0× 166 0.7× 199 0.8× 131 0.7× 180 1.1× 31 1.4k
Anne Hampton 236 0.5× 329 1.4× 151 0.6× 122 0.7× 220 1.3× 20 1.4k
Michele C. LaBuda 539 1.2× 164 0.7× 153 0.6× 135 0.8× 266 1.6× 25 1.5k
Tempei Otsubo 349 0.8× 119 0.5× 81 0.3× 266 1.5× 248 1.5× 47 1.3k
Anastacia Y. Kudinova 347 0.8× 326 1.3× 48 0.2× 89 0.5× 157 0.9× 42 1.0k
Ian M. Leitch 272 0.6× 79 0.3× 188 0.8× 56 0.3× 70 0.4× 38 1.3k
P. Jane Mutch 892 2.0× 76 0.3× 123 0.5× 323 1.8× 86 0.5× 37 1.4k
W. Louise Warren 193 0.4× 238 1.0× 135 0.6× 399 2.3× 93 0.6× 17 1.4k
Chiara Conti 454 1.0× 59 0.2× 114 0.5× 362 2.1× 135 0.8× 48 1.2k
Haijun Qiu 231 0.5× 60 0.2× 184 0.8× 290 1.6× 235 1.4× 20 1.5k

Countries citing papers authored by Claudia Metz

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Metz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Metz

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Metz. A scholar is included among the top collaborators of Claudia Metz 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 Claudia Metz. Claudia Metz 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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2026