Dalia Barkley

3.6k total citations · 3 hit papers
6 papers, 1.8k citations indexed

About

Dalia Barkley is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Dalia Barkley has authored 6 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Dalia Barkley's work include Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Cells and Metastasis (3 papers). Dalia Barkley is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Cells and Metastasis (3 papers). Dalia Barkley collaborates with scholars based in United States and United Kingdom. Dalia Barkley's co-authors include Itai Yanai, Gustavo S. França, Anjali Rao, Maayan Baron, Reuben Moncada, Cristina Hajdu, Marta Chiodin, Florian Wagner, Diane M. Simeone and Joseph C. Devlin and has published in prestigious journals such as Nature, Cell and Nature Genetics.

In The Last Decade

Dalia Barkley

6 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exploring tissue architecture using spatial transcriptomics

2021 836 citations Anjali Rao, Dalia Barkley et al. Nature profile →
Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas

2020 626 citations Reuben Moncada, Dalia Barkley et al. Nature Biotechnology profile →
Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment

2022 235 citations Dalia Barkley, Reuben Moncada et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dalia Barkley United States	5	1.4k	453	435	380	200	6	1.8k
Roshan Sharma United States	15	1.2k 0.9×	330 0.7×	523 1.2×	566 1.5×	143 0.7×	30	2.0k
Fredrik Salmén Sweden	14	2.0k 1.5×	524 1.2×	438 1.0×	268 0.7×	315 1.6×	15	2.4k
Sanja Vicković Sweden	14	1.6k 1.2×	381 0.8×	348 0.8×	214 0.6×	238 1.2×	18	2.0k
Byungjin Hwang South Korea	10	1.1k 0.8×	316 0.7×	304 0.7×	225 0.6×	117 0.6×	22	1.5k
Volker Bergen Germany	6	1.4k 1.0×	290 0.6×	472 1.1×	230 0.6×	197 1.0×	9	2.0k
Ruben Dries United States	12	2.1k 1.6×	319 0.7×	373 0.9×	323 0.8×	413 2.1×	25	2.5k
Marius Lange Germany	7	1.5k 1.1×	290 0.6×	476 1.1×	232 0.6×	213 1.1×	11	2.0k
Gustavo S. França Brazil	11	996 0.7×	367 0.8×	290 0.7×	249 0.7×	122 0.6×	13	1.4k
Marco Mignardi Sweden	11	1.4k 1.0×	452 1.0×	604 1.4×	249 0.7×	187 0.9×	17	2.2k
Anjali Rao United States	11	1.1k 0.8×	259 0.6×	261 0.6×	228 0.6×	123 0.6×	13	1.5k

Countries citing papers authored by Dalia Barkley

Since Specialization

Citations

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

Fields of papers citing papers by Dalia Barkley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalia Barkley

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

All Works

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6 of 6 papers shown

1.

Baron, Maayan, Mohita Tagore, Patrick D. Wall, et al.. (2025). Desmosome mutations impact the tumor microenvironment to promote melanoma proliferation. Nature Genetics. 57(5). 1179–1188. 2 indexed citations

2.

Barkley, Dalia, Reuben Moncada, Maayan Pour, et al.. (2022). Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment. Nature Genetics. 54(8). 1192–1201. 235 indexed citations breakdown →

3.

Barkley, Dalia, Anjali Rao, Maayan Pour, Gustavo S. França, & Itai Yanai. (2021). Cancer cell states and emergent properties of the dynamic tumor system. Genome Research. 31(10). 1719–1727. 16 indexed citations

4.

Rao, Anjali, Dalia Barkley, Gustavo S. França, & Itai Yanai. (2021). Exploring tissue architecture using spatial transcriptomics. Nature. 596(7871). 211–220. 836 indexed citations breakdown →

5.

Xia, Bo, Yun Yan, Maayan Baron, et al.. (2020). Widespread Transcriptional Scanning in the Testis Modulates Gene Evolution Rates. Cell. 180(2). 248–262.e21. 100 indexed citations

6.

Moncada, Reuben, Dalia Barkley, Florian Wagner, et al.. (2020). Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas. Nature Biotechnology. 38(3). 333–342. 626 indexed citations breakdown →

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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