Mélanie Wagner

114 total papers · 1.3k total citations
54 papers, 909 citations indexed

About

Mélanie Wagner is a scholar working on Molecular Biology, Sociology and Political Science and Health. According to data from OpenAlex, Mélanie Wagner has authored 54 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Sociology and Political Science and 8 papers in Health. Recurrent topics in Mélanie Wagner's work include Intergenerational Family Dynamics and Caregiving (10 papers), Health disparities and outcomes (8 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). Mélanie Wagner is often cited by papers focused on Intergenerational Family Dynamics and Caregiving (10 papers), Health disparities and outcomes (8 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). Mélanie Wagner collaborates with scholars based in Germany, United States and Luxembourg. Mélanie Wagner's co-authors include Herbert Waldmann, Jürgen Kuhlmann, Michael Bergmann, Martina Brandt, Carsten Peters, Martin Völkert, Reinhard Reents, Alexander Wolf, Michael Krieg and Günther Hochhaus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Mélanie Wagner

48 papers receiving 887 citations

Author Peers

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

Author Last Decade Papers Cites
Mélanie Wagner 312 193 142 138 123 54 909
Huiying Liu 102 0.3× 156 0.8× 187 1.3× 113 0.8× 88 0.7× 74 871
Colwick Wilson 209 0.7× 118 0.6× 80 0.6× 99 0.7× 30 0.2× 52 956
Hitomi Hayashi 270 0.9× 86 0.4× 213 1.5× 103 0.7× 69 0.6× 46 870
Julie White 200 0.6× 160 0.8× 39 0.3× 64 0.5× 42 0.3× 76 1.0k
Yongchen Wang 227 0.7× 156 0.8× 40 0.3× 184 1.3× 51 0.4× 57 818
Qian He 118 0.4× 118 0.6× 48 0.3× 65 0.5× 35 0.3× 51 741
Benjamin E. Moulton 353 1.1× 118 0.6× 167 1.2× 58 0.4× 18 0.1× 23 813
Daniel J. Amante 114 0.4× 91 0.5× 159 1.1× 444 3.2× 67 0.5× 33 913
Teri Randall 174 0.6× 120 0.6× 183 1.3× 120 0.9× 63 0.5× 87 1.0k
Michael C. Bond 238 0.8× 27 0.1× 144 1.0× 174 1.3× 64 0.5× 46 977

Countries citing papers authored by Mélanie Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Mélanie Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mélanie Wagner

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