Tomer Kalisky

7.5k total citations · 2 hit papers
53 papers, 2.9k citations indexed

About

Tomer Kalisky is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Oncology. According to data from OpenAlex, Tomer Kalisky has authored 53 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 14 papers in Statistical and Nonlinear Physics and 10 papers in Oncology. Recurrent topics in Tomer Kalisky's work include Renal and related cancers (12 papers), Complex Network Analysis Techniques (12 papers) and Opinion Dynamics and Social Influence (11 papers). Tomer Kalisky is often cited by papers focused on Renal and related cancers (12 papers), Complex Network Analysis Techniques (12 papers) and Opinion Dynamics and Social Influence (11 papers). Tomer Kalisky collaborates with scholars based in Israel, United States and Argentina. Tomer Kalisky's co-authors include Stephen R. Quake, Michael F. Clarke, Michael E. Rothenberg, Piero Dalerba, Shlomo Havlin, Sopheak Sim, Reuven Cohen, Paul C. Blainey, Gary L. Mantalas and Angela Ruohao Wu and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Tomer Kalisky

51 papers receiving 2.8k 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.

Quantitative assessment of single-cell RNA-sequencing methods

2013 535 citations Tomer Kalisky, Piero Dalerba et al. profile →
CDX2 as a Prognostic Biomarker in Stage II and Stage III Colon Cancer

2016 330 citations Piero Dalerba, Debashis Sahoo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomer Kalisky Israel	27	1.6k	571	388	349	341	53	2.9k
Ying Tang China	16	2.1k 1.3×	472 0.8×	516 1.3×	172 0.5×	133 0.4×	54	3.5k
Paul Choi United States	12	2.4k 1.5×	424 0.7×	346 0.9×	760 2.2×	313 0.9×	19	3.2k
Sabine Mai Canada	44	3.6k 2.2×	1.5k 2.7×	712 1.8×	558 1.6×	338 1.0×	263	6.9k
Denise M. Wolf United States	28	2.1k 1.3×	1.7k 3.0×	495 1.3×	690 2.0×	286 0.8×	94	4.3k
Daniel Zicha United Kingdom	32	2.1k 1.3×	465 0.8×	276 0.7×	184 0.5×	525 1.5×	60	4.0k
Thomas S. Deisboeck United States	35	1.8k 1.1×	1.1k 1.9×	482 1.2×	601 1.7×	525 1.5×	88	4.4k
Stephen A. Ramsey United States	30	2.3k 1.4×	191 0.3×	397 1.0×	260 0.7×	605 1.8×	92	3.9k
Marcin Tabaka Poland	17	1.2k 0.7×	334 0.6×	170 0.4×	169 0.5×	216 0.6×	27	2.0k
Alexander G. Fletcher United Kingdom	29	1.2k 0.8×	512 0.9×	206 0.5×	279 0.8×	692 2.0×	69	3.2k
Joshua J. Waterfall United States	19	3.2k 2.0×	289 0.5×	627 1.6×	400 1.1×	66 0.2×	33	4.2k

Countries citing papers authored by Tomer Kalisky

Since Specialization

Citations

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

Fields of papers citing papers by Tomer Kalisky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Kalisky

This figure shows the co-authorship network connecting the top 25 collaborators of Tomer Kalisky. A scholar is included among the top collaborators of Tomer Kalisky 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 Tomer Kalisky. Tomer Kalisky 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:

20 of 20 papers shown

Urbach, Achia, et al.. (2024). Characterization of Alternative Splicing in High-Risk Wilms’ Tumors. International Journal of Molecular Sciences. 25(8). 4520–4520.

Urbach, Achia, et al.. (2023). Characterization of Continuous Transcriptional Heterogeneity in High-Risk Blastemal-Type Wilms’ Tumors Using Unsupervised Machine Learning. International Journal of Molecular Sciences. 24(4). 3532–3532. 2 indexed citations

Omer, Dorit, Orit Harari‐Steinberg, Oren Pleniceanu, et al.. (2023). OCT4 induces long-lived dedifferentiated kidney progenitors poised to redifferentiate in 3D kidney spheroids. Molecular Therapy — Methods & Clinical Development. 29. 329–346. 1 indexed citations

Kanter, Itamar, Naomi Pode‐Shakked, Efrat Bucris, et al.. (2022). Characterization of alternative mRNA splicing in cultured cell populations representing progressive stages of human fetal kidney development. Scientific Reports. 12(1). 19548–19548. 4 indexed citations

Armon, Leah, Debby Ickowicz, Efrat Bucris, et al.. (2020). Single-Cell RNA Sequencing Reveals mRNA Splice Isoform Switching during Kidney Development. Journal of the American Society of Nephrology. 31(10). 2278–2291. 14 indexed citations

Zabala, Maider, Neethan A. Lobo, Jane Antony, et al.. (2020). LEFTY1 Is a Dual-SMAD Inhibitor that Promotes Mammary Progenitor Growth and Tumorigenesis. Cell stem cell. 27(2). 284–299.e8. 12 indexed citations

Munro, David A. D., Chris S. Vink, Zhuan Li, et al.. (2019). Macrophages restrict the nephrogenic field and promote endothelial connections during kidney development. eLife. 8. 53 indexed citations

Ling, Te, Yehudit Birger, Monika J. Stankiewicz, et al.. (2019). Chromatin occupancy and epigenetic analysis reveal new insights into the function of the GATA1 N terminus in erythropoiesis. Blood. 134(19). 1619–1631. 29 indexed citations

Kanter, Itamar, Piero Dalerba, & Tomer Kalisky. (2018). A cluster robustness score for identifying cell subpopulations in single cell gene expression datasets from heterogeneous tissues and tumors. Bioinformatics. 35(6). 962–971. 9 indexed citations

10.

Cai, Shang, Kunyoo Shin, Agnes Lim, et al.. (2017). Stromal Gli2 activity coordinates a niche signaling program for mammary epithelial stem cells. Science. 356(6335). 49 indexed citations

11.

Kalisky, Tomer, et al.. (2017). A brief review of single-cell transcriptomic technologies. Briefings in Functional Genomics. 17(1). 64–76. 35 indexed citations

12.

Sikandar, Shaheen S., Angera H. Kuo, Tomer Kalisky, et al.. (2017). Role of epithelial to mesenchymal transition associated genes in mammary gland regeneration and breast tumorigenesis. Nature Communications. 8(1). 1669–1669. 45 indexed citations

13.

Korem, Yael, Pablo Székely, Yuval Hart, et al.. (2015). Geometry of the Gene Expression Space of Individual Cells. PLoS Computational Biology. 11(7). e1004224–e1004224. 52 indexed citations

14.

Kalisky, Tomer, Pradeep S. Rajendran, Debashis Sahoo, et al.. (2013). Analysis of Human Colon Tissue Cell Composition Using Single-Cell Gene-Expression PCR. Journal of Biomolecular Techniques JBT. 24. 2 indexed citations

15.

Kashtan, Nadav, Avi Mayo, Tomer Kalisky, & Uri Alon. (2009). An Analytically Solvable Model for Rapid Evolution of Modular Structure. PLoS Computational Biology. 5(4). e1000355–e1000355. 33 indexed citations

16.

Kalisky, Tomer, E. Dekel, & Uri Alon. (2007). Cost–benefit theory and optimal design of gene regulation functions. Physical Biology. 4(4). 229–245. 83 indexed citations

17.

Kalisky, Tomer, Reuven Cohen, Osnat Mokryn, et al.. (2006). Tomography of scale-free networks and shortest path trees. Physical Review E. 74(6). 66108–66108. 13 indexed citations

18.

Kalisky, Tomer, Sameet Sreenivasan, Lidia A. Braunstein, et al.. (2006). Scale-free networks emerging from weighted random graphs. Physical Review E. 73(2). 25103–25103. 9 indexed citations

19.

Kalisky, Tomer, Yosef Ashkenazy, & Shlomo Havlin. (2005). Volatility of linear and nonlinear time series. Physical Review E. 72(1). 11913–11913. 46 indexed citations

20.

Kalisky, Tomer, Lidia A. Braunstein, Sergey V. Buldyrev, Shlomo Havlin, & H. Eugene Stanley. (2005). Scaling of optimal-path-lengths distribution in complex networks. Physical Review E. 72(2). 25102–25102. 9 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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