Maayan Pour

995 total citations · 1 hit paper
8 papers, 380 citations indexed

About

Maayan Pour is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Maayan Pour has authored 8 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in Maayan Pour's work include Cancer Cells and Metastasis (3 papers), Pluripotent Stem Cells Research (3 papers) and Single-cell and spatial transcriptomics (2 papers). Maayan Pour is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Pluripotent Stem Cells Research (3 papers) and Single-cell and spatial transcriptomics (2 papers). Maayan Pour collaborates with scholars based in Israel, United States and Indonesia. Maayan Pour's co-authors include Itai Yanai, Dalia Barkley, Gustavo S. França, Anjali Rao, Bo Xia, Amanda W. Lund, Ian Dryg, Iftach Nachman, Reuben Moncada and Gregor Werba and has published in prestigious journals such as Nature, Nature Genetics and Development.

In The Last Decade

Maayan Pour

8 papers receiving 376 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.

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
Maayan Pour Israel	8	259	111	95	71	59	8	380
Nana Nikolaishvili‐Feinberg United States	10	149 0.6×	102 0.9×	78 0.8×	29 0.4×	55 0.9×	16	316
Chinmayee Dash United States	5	170 0.7×	53 0.5×	73 0.8×	79 1.1×	53 0.9×	7	304
Tanmoy Saha United States	7	175 0.7×	44 0.4×	73 0.8×	79 1.1×	61 1.0×	9	322
Xingyun Liao China	11	199 0.8×	77 0.7×	145 1.5×	40 0.6×	68 1.2×	20	412
Virginia J. Yao United States	8	275 1.1×	68 0.6×	51 0.5×	43 0.6×	74 1.3×	8	431
Marie Allen United States	3	166 0.6×	80 0.7×	104 1.1×	72 1.0×	61 1.0×	8	390
Yoko Endo Japan	8	267 1.0×	66 0.6×	55 0.6×	55 0.8×	118 2.0×	14	461
Juan A. Cámara United States	8	249 1.0×	116 1.0×	33 0.3×	64 0.9×	26 0.4×	19	376
Jieqiong Liu China	4	164 0.6×	144 1.3×	93 1.0×	47 0.7×	102 1.7×	10	355
Águeda Martínez‐Barriocanal Spain	13	163 0.6×	91 0.8×	81 0.9×	210 3.0×	31 0.5×	20	437

Countries citing papers authored by Maayan Pour

Since Specialization

Citations

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

Fields of papers citing papers by Maayan Pour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maayan Pour

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Xia, Bo, Weimin Zhang, Ran Brosh, et al.. (2024). On the genetic basis of tail-loss evolution in humans and apes. Nature. 626(8001). 1042–1048. 33 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.

Pour, Maayan, Abhishek Sampath Kumar, Adriano Bolondi, et al.. (2021). Emergence and patterning dynamics of mouse-definitive endoderm. iScience. 25(1). 103556–103556. 15 indexed citations

5.

Pour, Maayan, et al.. (2019). Tungsten disulfide-based nanocomposites for photothermal therapy. Beilstein Journal of Nanotechnology. 10. 811–822. 18 indexed citations

6.

Pour, Maayan, et al.. (2019). Prediction and control of symmetry breaking in embryoid bodies by environment and signal integration. Development. 146(20). 26 indexed citations

7.

Nandi, Sukhendu, Susanta Kumar Bhunia, Leila Zeiri, et al.. (2016). Bifunctional Carbon‐Dot‐WS₂ Nanorods for Photothermal Therapy and Cell Imaging. Chemistry - A European Journal. 23(4). 963–969. 21 indexed citations

8.

Pour, Maayan, et al.. (2015). Epigenetic predisposition to reprogramming fates in somatic cells. EMBO Reports. 16(3). 370–378. 16 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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