Laura Greenstreet

926 citations
7 papers · 464 indexed · 3 hit papers · h-index 6
Topics
Single-cell and spatial transcriptomics (3 papers)Plant Molecular Biology Research (2 papers)Wildlife-Road Interactions and Conservation (1 paper)

In The Last Decade

Laura Greenstreet

7 papers receiving 458 citations

Hit Papers

A single-cell Arabidopsis root atlas reveals developmenta...202220262023202420222022202350100150

Peers

Laura Greenstreet
Comparison fields: 5 of 63
  • Molecular Biology 225
  • Plant Science 199
  • Ecology 103
  • Global and Planetary Change 75
  • Ecological Modeling 33
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Laura Greenstreet relative to John Deck United States John Deck's profile →
Citations per field
00.5×4.4×
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Citations per year

Countries citing papers authored by Laura Greenstreet

Since Specialization
Citations

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

Fields of papers citing papers by Laura Greenstreet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Greenstreet

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Greenstreet. A scholar is included among the top collaborators of Laura Greenstreet 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 Laura Greenstreet. Laura Greenstreet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 6
3
Brassinosteroid gene regulatory networks at cellular resolution in the Arabidopsis rootbreakdown →
86
4
A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutantsbreakdown →
189
5
Functional connectivity of the world’s protected areasbreakdown →
126
6 41
7 15

About Laura Greenstreet

Laura Greenstreet is a scholar working on Biophysics, Global and Planetary Change and Oceanography, having authored 7 papers that have together received 464 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Plant Molecular Biology Research (2 papers) and Wildlife-Road Interactions and Conservation (1 paper). The work is most often cited by research in Ecological Modeling (33 citations), Plant Science (199 citations) and Biophysics (27 citations). Laura Greenstreet has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Geoffrey Schiebinger, Anton Afanassiev, Angela Brennan, Claire Kremen, Isaiah Taylor, Philip N. Benfey, Che‐Wei Hsu, Uwe Ohler, Rachel Shahan and Robin Naidoo. Their work appears in journals such as Science, Development and Developmental Cell.

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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