Sasha Preuss

1.2k citations
14 papers · 911 · h-index 11

Impact in

    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations
    • Light effects on plants
    • Plant Genetic and Mutation Studies
    • Photosynthetic Processes and Mechanisms
    • Plant tissue culture and regeneration
    • Plant Gene Expression Analysis
    • Plant Reproductive Biology

Papers in

    • Plant Molecular Biology Research 7
    • Chromosomal and Genetic Variations 6
    • Plant nutrient uptake and metabolism 3
    • Soybean genetics and cultivation 3
    • Genomics and Chromatin Dynamics 4
    • Photosynthetic Processes and Mechanisms 3
    • CRISPR and Genetic Engineering 3
    • RNA modifications and cancer 2

Sasha Preuss

14 papers receiving 898 citations

Peers

Sasha Preuss
Comparison fields: 5 of 59
  • Plant Science 767
  • Molecular Biology 626
  • Aging 4
  • Physiology 9
  • Biochemistry 11
Replace Péter Gyula with:
Péter Gyula Hungary
Jathish Ponnu Germany
Pingli Lu China
Giorgio Perrella Italy
Françoise Chefdor France
Kook Hui Ryu United States
Dawn H. Nagel United States
Lin Deng China
Angharad Jones United Kingdom
Sasha Preuss relative to Péter Gyula Hungary Péter Gyula's profile →
Citations per field
00.5×1.5×
Péter Gyula · 1×
Citations per year

Countries citing papers authored by Sasha Preuss

Since Specialization
Citations

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

Fields of papers citing papers by Sasha Preuss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sasha Preuss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sasha Preuss Line = papers co-authored together Sasha Preuss links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2003191
2 2011130
3 2008115
4 2016111
5 2007111
6 200780
7 201275
8 201225
9 200723
10 201020
11 201015
12 19999
13 20054
14 20222

About Sasha Preuss

Sasha Preuss is a scholar working on Plant Science, Molecular Biology, Genetics, Infectious Diseases and Organic Chemistry, having authored 14 papers that have together received 911 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (7 papers), Chromosomal and Genetic Variations (6 papers), Genomics and Chromatin Dynamics (4 papers), Plant nutrient uptake and metabolism (3 papers), Soybean genetics and cultivation (3 papers), Photosynthetic Processes and Mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Plant Science (767 citations), Molecular Biology (626 citations), Aging (4 citations), Physiology (9 citations) and Biochemistry (11 citations). Sasha Preuss has collaborated with scholars based in United States, Portugal and United Kingdom. Frequent co-authors include Anne Britt, Craig S. Pikaard, Pedro Costa‐Nunes, Olga Pontes, Wanda Viegas, Elizabeth E. Hamilton, Steve A. Kay, Prateek Tripathi, Richard J. Lawrence and Marie E. Petracek. Their work appears in journals such as PLoS ONE, Nucleus, Molecular Cell, PROTOPLASMA and Genetics.

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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