Miriam S. Weber

21 total papers · 640 total citations
12 papers, 383 citations indexed

About

Miriam S. Weber is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cell Biology. According to data from OpenAlex, Miriam S. Weber has authored 12 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Miriam S. Weber's work include Growth Hormone and Insulin-like Growth Factors (5 papers), Skin and Cellular Biology Research (3 papers) and Cellular Mechanics and Interactions (3 papers). Miriam S. Weber is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (5 papers), Skin and Cellular Biology Research (3 papers) and Cellular Mechanics and Interactions (3 papers). Miriam S. Weber collaborates with scholars based in United States, Switzerland and Germany. Miriam S. Weber's co-authors include Ohad Medalia, Stig Purup, K. Sejrsen, R.M. Akers, Mogens Vestergaard, Matthias Wojtynek, Suganya Sivagurunathan, Robert D. Goldman, Christopher H. Knight and M. Vestergaard and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Miriam S. Weber

12 papers receiving 365 citations

Author Peers

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

Author Last Decade Papers Cites
Miriam S. Weber 134 110 90 74 72 12 383
I Sørensen 91 0.7× 40 0.4× 19 0.2× 44 0.6× 17 0.2× 12 367
Elke Smits 77 0.6× 30 0.3× 122 1.4× 29 0.4× 7 0.1× 19 366
Federica Poggiali 138 1.0× 87 0.8× 19 0.2× 10 0.1× 38 0.5× 12 413
Bernadette M. Meberg 129 1.0× 175 1.6× 96 1.1× 12 0.2× 46 0.6× 10 376
Elisa Baioni 99 0.7× 123 1.1× 19 0.2× 13 0.2× 10 0.1× 22 421
Alba Miranda-Ribera 171 1.3× 33 0.3× 26 0.3× 25 0.3× 4 0.1× 17 355
Shila Mortensen 136 1.0× 62 0.6× 24 0.3× 5 0.1× 25 0.3× 14 405
Scott E. Diamond 257 1.9× 67 0.6× 13 0.1× 13 0.2× 97 1.3× 12 410
Zhaojun Ren 320 2.4× 105 1.0× 15 0.2× 7 0.1× 19 0.3× 9 445
H Küpper 203 1.5× 29 0.3× 59 0.7× 36 0.5× 5 0.1× 11 420

Countries citing papers authored by Miriam S. Weber

Since Specialization
Citations

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

Fields of papers citing papers by Miriam S. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miriam S. Weber. 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 Miriam S. Weber. The network helps show where Miriam S. Weber may publish in the future.

Co-authorship network of co-authors of Miriam S. Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam S. Weber. A scholar is included among the top collaborators of Miriam S. Weber 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 Miriam S. Weber. Miriam S. Weber 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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