Miriam Schreiber

52 total papers · 1.4k total citations
24 papers, 441 citations indexed

About

Miriam Schreiber is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Miriam Schreiber has authored 24 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 11 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Miriam Schreiber's work include Wheat and Barley Genetics and Pathology (7 papers), Chromosomal and Genetic Variations (5 papers) and Biofuel production and bioconversion (4 papers). Miriam Schreiber is often cited by papers focused on Wheat and Barley Genetics and Pathology (7 papers), Chromosomal and Genetic Variations (5 papers) and Biofuel production and bioconversion (4 papers). Miriam Schreiber collaborates with scholars based in United Kingdom, Australia and Germany. Miriam Schreiber's co-authors include Robbie Waugh, Claire Halpin, Rachel A. Burton, Geoffrey B. Fincher, Pete E. Hedley, Linda Milne, Malcolm Macaulay, Luke Ramsay, Kelly Houston and Abdellah Barakate and has published in prestigious journals such as Nature Communications, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Miriam Schreiber

23 papers receiving 438 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 Schreiber 364 157 71 60 58 24 441
Lanjie Zheng 401 1.1× 214 1.4× 55 0.8× 49 0.8× 54 0.9× 18 468
Mitali Banik 390 1.1× 125 0.8× 76 1.1× 69 1.1× 47 0.8× 21 471
V. Thiruvengadam 280 0.8× 155 1.0× 27 0.4× 47 0.8× 120 2.1× 28 397
Jianmin Song 311 0.9× 92 0.6× 98 1.4× 58 1.0× 46 0.8× 29 442
Wei Wang 302 0.8× 177 1.1× 47 0.7× 43 0.7× 46 0.8× 15 375
Hiroaki Yamanouchi 325 0.9× 157 1.0× 201 2.8× 104 1.7× 29 0.5× 28 478
Rongqi Liang 373 1.0× 217 1.4× 55 0.8× 17 0.3× 65 1.1× 28 483
Erchao Duan 342 0.9× 159 1.0× 37 0.5× 27 0.5× 69 1.2× 20 387
Takuji Tonooka 329 0.9× 105 0.7× 81 1.1× 52 0.9× 53 0.9× 19 380
Güray Akdoğan 329 0.9× 120 0.8× 63 0.9× 26 0.4× 11 0.2× 24 386

Countries citing papers authored by Miriam Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Schreiber

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