Rachel Shahan

1.3k total citations · 2 hit papers
9 papers, 703 citations indexed

About

Rachel Shahan is a scholar working on Molecular Biology, Plant Science and Biophysics. According to data from OpenAlex, Rachel Shahan has authored 9 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Plant Science and 3 papers in Biophysics. Recurrent topics in Rachel Shahan's work include Plant Molecular Biology Research (6 papers), Single-cell and spatial transcriptomics (4 papers) and Berry genetics and cultivation research (2 papers). Rachel Shahan is often cited by papers focused on Plant Molecular Biology Research (6 papers), Single-cell and spatial transcriptomics (4 papers) and Berry genetics and cultivation research (2 papers). Rachel Shahan collaborates with scholars based in United States, Germany and Canada. Rachel Shahan's co-authors include Omar Darwish, Nadim W. Alkharouf, Chunying Kang, Aviva Geretz, Trevor M. Nolan, Philip N. Benfey, Uwe Ohler, Che‐Wei Hsu, Anton Afanassiev and Laura Greenstreet and has published in prestigious journals such as Science, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Rachel Shahan

9 papers receiving 694 citations

Hit Papers

A single-cell Arabidopsis root atlas reveals developmenta... 2022 2026 2023 2024 2022 2023 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rachel Shahan United States 8 569 484 35 28 22 9 703
Kook Hui Ryu United States 12 660 1.2× 681 1.4× 21 0.6× 24 0.9× 17 0.8× 13 898
Pingxian Zhang China 14 462 0.8× 418 0.9× 19 0.5× 66 2.4× 33 1.5× 28 650
Anna Doskočilová Czechia 10 515 0.9× 473 1.0× 113 3.2× 14 0.5× 19 0.9× 10 685
Zhou-Geng Xu China 13 716 1.3× 728 1.5× 13 0.4× 49 1.8× 46 2.1× 19 988
Emanuele Scacchi Germany 10 1.2k 2.1× 935 1.9× 20 0.6× 25 0.9× 23 1.0× 12 1.4k
Jérôme Bove France 7 532 0.9× 408 0.8× 28 0.8× 16 0.6× 42 1.9× 8 663
Shaofei Tong China 15 576 1.0× 427 0.9× 20 0.6× 62 2.2× 29 1.3× 19 697
Gina Turco United States 10 491 0.9× 506 1.0× 20 0.6× 82 2.9× 34 1.5× 11 723
Myung Ki Min South Korea 16 656 1.2× 429 0.9× 119 3.4× 45 1.6× 11 0.5× 25 821
Wenzislava Ckurshumova Canada 10 1.1k 1.8× 844 1.7× 27 0.8× 19 0.7× 19 0.9× 12 1.1k

Countries citing papers authored by Rachel Shahan

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Shahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Shahan

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

All Works

9 of 9 papers shown
1.
Nolan, Trevor M., Nemanja Vukašinović, Che‐Wei Hsu, et al.. (2023). Brassinosteroid gene regulatory networks at cellular resolution in the Arabidopsis root. Science. 379(6639). eadf4721–eadf4721. 86 indexed citations breakdown →
2.
Nolan, Trevor M. & Rachel Shahan. (2023). Resolving plant development in space and time with single-cell genomics. Current Opinion in Plant Biology. 76. 102444–102444. 13 indexed citations
3.
Shahan, Rachel, Che‐Wei Hsu, Trevor M. Nolan, et al.. (2022). A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants. Developmental Cell. 57(4). 543–560.e9. 189 indexed citations breakdown →
4.
Hsu, Che‐Wei, Rachel Shahan, Trevor M. Nolan, Philip N. Benfey, & Uwe Ohler. (2022). Protocol for fast scRNA-seq raw data processing using scKB and non-arbitrary quality control with COPILOT. STAR Protocols. 3(4). 101729–101729. 6 indexed citations
5.
Shahan, Rachel, Trevor M. Nolan, & Philip N. Benfey. (2021). Single-cell analysis of cell identity in the Arabidopsis root apical meristem: insights and opportunities. Journal of Experimental Botany. 72(19). 6679–6686. 32 indexed citations
6.
Shahan, Rachel, Dongdong Li, & Zhongchi Liu. (2019). Identification of genes preferentially expressed in wild strawberry receptacle fruit and demonstration of their promoter activities. Horticulture Research. 6(1). 50–50. 8 indexed citations
7.
Shahan, Rachel, et al.. (2018). Consensus Coexpression Network Analysis Identifies Key Regulators of Flower and Fruit Development in Wild Strawberry. PLANT PHYSIOLOGY. 178(1). 202–216. 56 indexed citations
8.
Darwish, Omar, Rachel Shahan, Zhongchi Liu, Janet P. Slovin, & Nadim W. Alkharouf. (2015). Re-annotation of the woodland strawberry (Fragaria vesca) genome. BMC Genomics. 16(1). 29–29. 48 indexed citations
9.
Kang, Chunying, et al.. (2013). Genome-Scale Transcriptomic Insights into Early-Stage Fruit Development in Woodland Strawberry Fragaria vesca. The Plant Cell. 25(6). 1960–1978. 265 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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