Margot Schreiber

8 total papers · 594 total citations
7 papers, 500 citations indexed

About

Margot Schreiber is a scholar working on Molecular Biology, Cell Biology and Biochemistry. According to data from OpenAlex, Margot Schreiber has authored 7 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Biochemistry. Recurrent topics in Margot Schreiber's work include Amino Acid Enzymes and Metabolism (2 papers), Muscle metabolism and nutrition (2 papers) and Liver physiology and pathology (1 paper). Margot Schreiber is often cited by papers focused on Amino Acid Enzymes and Metabolism (2 papers), Muscle metabolism and nutrition (2 papers) and Liver physiology and pathology (1 paper). Margot Schreiber collaborates with scholars based in Germany, United States and Australia. Margot Schreiber's co-authors include Lawrence Salkoff, Gerhard Schreiber, G Schreiber, Jürgen Kartenbeck, Matthias J. Müller, Kurt Weigand, Geoffrey J. Howlett, H. H. Seydewitz and Irene Witt and has published in prestigious journals such as Journal of Biological Chemistry, Biophysical Journal and Archives of Biochemistry and Biophysics.

In The Last Decade

Margot Schreiber

7 papers receiving 487 citations

Author Peers

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

Author Last Decade Papers Cites
Margot Schreiber 382 204 173 59 39 7 500
F. Lang 382 1.0× 133 0.7× 48 0.3× 74 1.3× 42 1.1× 11 562
Saadia Ahmed 317 0.8× 102 0.5× 196 1.1× 21 0.4× 23 0.6× 7 474
Dominique Renard 323 0.8× 127 0.6× 96 0.6× 66 1.1× 44 1.1× 12 557
C P Campanile 336 0.9× 74 0.4× 198 1.1× 33 0.6× 72 1.8× 8 484
J D Goetz 449 1.2× 135 0.7× 31 0.2× 63 1.1× 57 1.5× 7 591
Krzysztof Mazuruk 257 0.7× 73 0.4× 22 0.1× 51 0.9× 18 0.5× 13 521
Stephen Hurst 454 1.2× 95 0.5× 52 0.3× 41 0.7× 20 0.5× 14 611
P. M. Nishina 265 0.7× 67 0.3× 41 0.2× 56 0.9× 145 3.7× 8 566
C. Blake Nichols 491 1.3× 124 0.6× 262 1.5× 34 0.6× 29 0.7× 12 599
George Vaniotis 463 1.2× 180 0.9× 134 0.8× 40 0.7× 38 1.0× 12 614

Countries citing papers authored by Margot Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by Margot Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margot Schreiber

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