Tom Schreiber

574 total citations
12 papers, 397 citations indexed

About

Tom Schreiber is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Tom Schreiber has authored 12 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in Molecular Biology and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Tom Schreiber's work include CRISPR and Genetic Engineering (6 papers), Plant Virus Research Studies (6 papers) and Plant-Microbe Interactions and Immunity (5 papers). Tom Schreiber is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Plant Virus Research Studies (6 papers) and Plant-Microbe Interactions and Immunity (5 papers). Tom Schreiber collaborates with scholars based in Germany, Australia and Czechia. Tom Schreiber's co-authors include Alain Tissier, Ulla Bonas, Jara Radeck, Thomas Lahaye, Niklas Schandry, Holger Heuer, Orlando de Lange, Eric Kemen, Ariane Kemen and Sarah Kuhn and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Plant Cell.

In The Last Decade

Tom Schreiber

12 papers receiving 394 citations

Peers

Tom Schreiber

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MB

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EEBS

Marijn Knip Netherlands

Manuela Campa Italy

Gireesha Mohannath India

Welison Andrade Pereira Brazil

Marschal Bellinger United States

Anna Hangyáné Benkovics Hungary

Hannah Thieron Germany

Mauren Jaudal New Zealand

M. L. P. Tinoco Brazil

Marijn Knip Netherlands

Tom Schreiber

326 ×1.1

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286 ×1.3

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24 ×0.9

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21 ×0.8

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8 ×0.5

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Citations per year, relative to Tom Schreiber Tom Schreiber (= 1×) peers Marijn Knip

Countries citing papers authored by Tom Schreiber

Since Specialization

Citations

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

Fields of papers citing papers by Tom Schreiber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Schreiber

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Schreiber. A scholar is included among the top collaborators of Tom 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 Tom Schreiber. Tom 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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12 of 12 papers shown

1.

Schreiber, Tom, et al.. (2024). A quantitative assay for the efficiency of RNA‐guided genome editing in plants. The Plant Journal. 119(5). 2564–2577. 1 indexed citations

2.

Schreiber, Tom, Petra Schäfer, Ramona Grützner, et al.. (2024). Efficient scar-free knock-ins of several kilobases in plants by engineered CRISPR-Cas endonucleases. Molecular Plant. 17(5). 824–837. 27 indexed citations

3.

Danila, Florence R., Tom Schreiber, Maria Ermakova, et al.. (2022). A single promoter‐TALE system for tissue‐specific and tuneable expression of multiple genes in rice. Plant Biotechnology Journal. 20(9). 1786–1806. 14 indexed citations

4.

Schindele, Patrick, et al.. (2022). Enhancing gene editing and gene targeting efficiencies in Arabidopsis thaliana by using an intron‐containing version of ttLbCas12a. Plant Biotechnology Journal. 21(3). 457–459. 25 indexed citations

5.

Kuhn, Sarah, Tom Schreiber, Alain Tissier, et al.. (2020). Oomycete small RNAs bind to the plant RNA-induced silencing complex for virulence. eLife. 9. 93 indexed citations

6.

Hause, Gerd, Benedikt Athmer, Tom Schreiber, et al.. (2019). Tomato MYB21 Acts in Ovules to Mediate Jasmonate-Regulated Fertility. The Plant Cell. 31(5). 1043–1062. 69 indexed citations

7.

Schreiber, Tom, et al.. (2019). Split-TALE: A TALE-Based Two-Component System for Synthetic Biology Applications in Planta. PLANT PHYSIOLOGY. 179(3). 1001–1012. 15 indexed citations

8.

Schreiber, Tom & Alain Tissier. (2017). Generation of dTALEs and Libraries of Synthetic TALE-Activated Promoters for Engineering of Gene Regulatory Networks in Plants. Methods in molecular biology. 1629. 185–204. 5 indexed citations

9.

Schreiber, Tom & Alain Tissier. (2016). Libraries of Synthetic TALE-Activated Promoters. Methods in enzymology on CD-ROM/Methods in enzymology. 576. 361–378. 5 indexed citations

10.

Schreiber, Tom, et al.. (2015). Refined Requirements for Protein Regions Important for Activity of the TALE AvrBs3. PLoS ONE. 10(3). e0120214–e0120214. 26 indexed citations

11.

Schreiber, Tom & Ulla Bonas. (2014). Repeat 1 of TAL effectors affects target specificity for the base at position zero. Nucleic Acids Research. 42(11). 7160–7169. 36 indexed citations

12.

Lange, Orlando de, Tom Schreiber, Niklas Schandry, et al.. (2013). Breaking the DNA‐binding code of Ralstonia solanacearum TAL effectors provides new possibilities to generate plant resistance genes against bacterial wilt disease. New Phytologist. 199(3). 773–786. 81 indexed citations

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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