Asya Stepansky

5.9k total citations · 1 hit paper
17 papers, 2.9k citations indexed

About

Asya Stepansky is a scholar working on Plant Science, Molecular Biology and Cancer Research. According to data from OpenAlex, Asya Stepansky has authored 17 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in Asya Stepansky's work include Cancer Genomics and Diagnostics (8 papers), Plant Molecular Biology Research (4 papers) and Plant nutrient uptake and metabolism (4 papers). Asya Stepansky is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Plant Molecular Biology Research (4 papers) and Plant nutrient uptake and metabolism (4 papers). Asya Stepansky collaborates with scholars based in United States, Israel and Canada. Asya Stepansky's co-authors include James Hicks, Jude Kendall, Michael Wigler, Linda Rodgers, Diane Esposito, Jennifer Troge, Nicholas E. Navin, Dan Levy, A. Krasnitz and W. Richard McCombie and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Asya Stepansky

16 papers receiving 2.9k citations

Hit Papers

Tumour evolution inferred by single-cell sequencing 2011 2026 2016 2021 2011 500 1000 1.5k
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.

  1. Tumour evolution inferred by single-cell sequencing
    2011 1.8k citations Nicholas E. Navin, Jude Kendall et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asya Stepansky United States 11 1.7k 1.5k 727 532 508 17 2.9k
Junwei Shi United States 35 6.2k 3.6× 808 0.5× 1.3k 1.8× 436 0.8× 477 0.9× 105 7.3k
Zhiguo Zhang United States 38 5.2k 3.0× 569 0.4× 423 0.6× 359 0.7× 476 0.9× 104 6.0k
Michael R. Schlabach United States 19 3.1k 1.8× 686 0.5× 757 1.0× 398 0.7× 113 0.2× 27 3.8k
Thomas L. Volkert United States 10 4.1k 2.3× 771 0.5× 534 0.7× 428 0.8× 319 0.6× 11 4.5k
Ilya G. Serebriiskii United States 33 2.5k 1.4× 488 0.3× 1.0k 1.4× 297 0.6× 207 0.4× 97 3.8k
San Ming Wang United States 27 1.8k 1.0× 541 0.4× 262 0.4× 591 1.1× 318 0.6× 99 2.6k
Arkady Celeste United States 19 5.1k 2.9× 1.2k 0.8× 1.6k 2.3× 426 0.8× 380 0.7× 23 5.7k
Susan A. Harcourt United Kingdom 28 2.5k 1.5× 1.3k 0.9× 648 0.9× 255 0.5× 247 0.5× 37 3.2k
Thomas D. Stamato United States 28 2.6k 1.5× 752 0.5× 510 0.7× 256 0.5× 745 1.5× 58 3.2k
Emil Mladenov Germany 23 1.8k 1.1× 506 0.3× 644 0.9× 155 0.3× 218 0.4× 54 2.3k

Countries citing papers authored by Asya Stepansky

Since Specialization
Citations

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

Fields of papers citing papers by Asya Stepansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asya Stepansky

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

All Works

17 of 17 papers shown
1.
Moffitt, Andrea B., Mona S. Spector, Peter Andrews, et al.. (2020). Multiplex accurate sensitive quantitation (MASQ) with application to minimal residual disease in acute myeloid leukemia. Nucleic Acids Research. 48(7). e40–e40. 3 indexed citations
2.
Sakr, Rita A., Luciano G. Martelotto, Timour Baslan, et al.. (2015). Abstract 2989: Intra-tumor heterogeneity and clonal changes in the progression of DCIS to invasiveness: Combined tumor bulk and single cell analysis. Cancer Research. 75(15_Supplement). 2989–2989. 1 indexed citations
3.
Dago, Angel E., Asya Stepansky, Anders Carlsson, et al.. (2014). Rapid Phenotypic and Genomic Change in Response to Therapeutic Pressure in Prostate Cancer Inferred by High Content Analysis of Single Circulating Tumor Cells. PLoS ONE. 9(8). e101777–e101777. 116 indexed citations
4.
Pratt, Erica D., Asya Stepansky, James Hicks, & Brian J. Kirby. (2014). Single-Cell Copy Number Analysis of Prostate Cancer Cells Captured with Geometrically Enhanced Differential Immunocapture Microdevices. Analytical Chemistry. 86(22). 11013–11017. 9 indexed citations
5.
Gross, Mitchell E., David B. Agus, Tanya B. Dorff, et al.. (2013). Sequential monitoring of androgen receptor expression and copy number variation in castration-resistant prostate cancer (CRPC).. Journal of Clinical Oncology. 31(15_suppl). 11047–11047. 1 indexed citations
6.
Kühn, Peter, Angel E. Dago, Asya Stepansky, et al.. (2013). Abstract 4599: Sequential monitoring of single-cell copy number variation in metastatic prostate cancer.. Cancer Research. 73(8_Supplement). 4599–4599.
7.
Baslan, Timour, Jude Kendall, Linda Rodgers, et al.. (2012). Genome-wide copy number analysis of single cells. Nature Protocols. 7(6). 1024–1041. 235 indexed citations
8.
Navin, Nicholas E., Jude Kendall, Jennifer Troge, et al.. (2011). Tumour evolution inferred by single-cell sequencing. Nature. 472(7341). 90–94. 1847 indexed citations breakdown →
9.
Floer, Monique, Xin Wang, Georgina Berrozpe, et al.. (2010). A RSC/Nucleosome Complex Determines Chromatin Architecture and Facilitates Activator Binding. Cell. 141(3). 407–418. 142 indexed citations
10.
Sweeney, Colleen, et al.. (2007). Genetic Dissection of Histidine Biosynthesis in Arabidopsis. PLANT PHYSIOLOGY. 144(2). 890–903. 66 indexed citations
11.
Stepansky, Asya, et al.. (2006). Lysine catabolism, an effective versatile regulator of lysine level in plants. Amino Acids. 30(2). 121–125. 53 indexed citations
12.
Stepansky, Asya & Tom Leustek. (2006). Histidine biosynthesis in plants. Amino Acids. 30(2). 127–142. 118 indexed citations
13.
14.
15.
Galili, Gad, Guiliang Tang, Xiaohong Zhu, et al.. (2001). Molecular genetic dissection and potential manipulation of lysine metabolism in seeds. Journal of Plant Physiology. 158(4). 515–520. 5 indexed citations
16.
Stepansky, Asya, Irina Kovalski, & Rafael Perl‐Treves. (1999). Intraspecific classification of melons (Cucumis melo L.) in view of their phenotypic and molecular variation. Plant Systematics and Evolution. 217(3-4). 313–332. 199 indexed citations
17.
Stepansky, Asya, Irina Kovalski, Arthur A. Schaffer, & Rafael Perl‐Treves. (1999). Variation in sugar levels and invertase activity in mature fruit representing a broad spectrum of Cucumis melo genotypes. Genetic Resources and Crop Evolution. 46(1). 53–62. 58 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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