Ilya Korsunsky

14.9k total citations · 1 hit paper
19 papers, 4.9k citations indexed

About

Ilya Korsunsky is a scholar working on Molecular Biology, Immunology and Biophysics. According to data from OpenAlex, Ilya Korsunsky has authored 19 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Immunology and 3 papers in Biophysics. Recurrent topics in Ilya Korsunsky's work include Single-cell and spatial transcriptomics (6 papers), T-cell and B-cell Immunology (4 papers) and Gene Regulatory Network Analysis (3 papers). Ilya Korsunsky is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), T-cell and B-cell Immunology (4 papers) and Gene Regulatory Network Analysis (3 papers). Ilya Korsunsky collaborates with scholars based in United States, United Kingdom and Italy. Ilya Korsunsky's co-authors include Soumya Raychaudhuri, Fan Zhang, Kamil Slowikowski, Michael B. Brenner, Nghia Millard, Po‐Ru Loh, Jean Fan, Kevin Wei, Yuriy Baglaenko and Aparna Nathan and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Bioinformatics.

In The Last Decade

Ilya Korsunsky

18 papers receiving 4.9k 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.

Fast, sensitive and accurate integration of single-cell data with Harmony

2019 4.1k citations Ilya Korsunsky, Nghia Millard et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ilya Korsunsky United States	12	3.1k	1.7k	749	747	434	19	4.9k
Yuriy Baglaenko United States	12	3.0k 1.0×	1.8k 1.1×	701 0.9×	747 1.0×	418 1.0×	24	4.9k
Nghia Millard United States	4	2.8k 0.9×	1.4k 0.9×	710 0.9×	690 0.9×	413 1.0×	7	4.3k
Kamil Slowikowski United States	12	3.1k 1.0×	1.7k 1.0×	771 1.0×	763 1.0×	445 1.0×	17	5.0k
Kevin Wei United States	14	3.2k 1.0×	2.0k 1.2×	857 1.1×	1.1k 1.4×	486 1.1×	23	5.6k
Roser Vento‐Tormo United Kingdom	20	3.1k 1.0×	1.7k 1.0×	792 1.1×	819 1.1×	271 0.6×	35	4.6k
Michael Morse United States	13	3.3k 1.1×	1.2k 0.7×	720 1.0×	606 0.8×	321 0.7×	34	4.6k
Carmen Bravo González‐Blas Belgium	14	3.4k 1.1×	1.2k 0.7×	783 1.0×	671 0.9×	309 0.7×	16	4.7k
Suoqin Jin China	17	3.0k 1.0×	1.8k 1.1×	769 1.0×	1.0k 1.4×	696 1.6×	34	5.4k
David Gennert United States	8	3.2k 1.0×	1.6k 0.9×	781 1.0×	1.2k 1.6×	281 0.6×	13	5.0k
Gert Hulselmans Belgium	22	4.4k 1.4×	1.7k 1.0×	1.0k 1.4×	1.0k 1.4×	458 1.1×	30	6.3k

Countries citing papers authored by Ilya Korsunsky

Since Specialization

Citations

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

Fields of papers citing papers by Ilya Korsunsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Korsunsky

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

All Works

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19 of 19 papers shown

Millard, Nghia, Jonathan Chen, Karin Pelka, et al.. (2025). Batch correcting single-cell spatial transcriptomics count data with Crescendo improves visualization and detection of spatial gene patterns. Genome biology. 26(1). 36–36. 1 indexed citations

Yao, Hongcheng, Vjola Jorgji, David Lieb, et al.. (2024). Abstract 6555: scRNAseq and TCR repertoire analysis identifies immune correlates of response to combined BRAF/MEK/PD1 inhibition in a phase 2 trial. Cancer Research. 84(6_Supplement). 6555–6555.

Korsunsky, Ilya, Soumya Raychaudhuri, Shawn N. Murphy, et al.. (2022). A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history. Journal of the American Medical Informatics Association. 29(5). 761–769. 8 indexed citations

Reshef, Yakir, Laurie Rumker, Joyce B. Kang, et al.. (2021). Co-varying neighborhood analysis identifies cell populations associated with phenotypes of interest from single-cell transcriptomics. Nature Biotechnology. 40(3). 355–363. 27 indexed citations

Millard, Nghia, Ilya Korsunsky, Kathryn Weinand, et al.. (2021). Maximizing Statistical Power to Detect Differentially Abundant Cell States With scPOST. SSRN Electronic Journal. 1 indexed citations

Millard, Nghia, Ilya Korsunsky, Kathryn Weinand, et al.. (2021). Maximizing statistical power to detect differentially abundant cell states with scPOST. Cell Reports Methods. 1(8). 100120–100120. 3 indexed citations

Kang, Joyce B., Aparna Nathan, Kathryn Weinand, et al.. (2021). Efficient and precise single-cell reference atlas mapping with Symphony. Nature Communications. 12(1). 5890–5890. 85 indexed citations

Zhang, Fan, Joseph Mears, Lorien Shakib, et al.. (2021). IFN-γ and TNF-α drive a CXCL10+ CCL2+ macrophage phenotype expanded in severe COVID-19 lungs and inflammatory diseases with tissue inflammation. Genome Medicine. 13(1). 64–64. 139 indexed citations

Korsunsky, Ilya, Andrew Shih, Prodyot K. Chatterjee, et al.. (2021). Maternal oxytocin administration modulates gene expression in the brains of perinatal mice. Journal of Perinatal Medicine. 50(2). 207–218. 5 indexed citations

10.

Korsunsky, Ilya, Nghia Millard, Jean Fan, et al.. (2019). Fast, sensitive and accurate integration of single-cell data with Harmony. Nature Methods. 16(12). 1289–1296. 4105 indexed citations breakdown →

11.

Gutiérrez‐Arcelus, María, Nikola C. Teslovich, Rafael B. Polidoro, et al.. (2019). Lymphocyte innateness defined by transcriptional states reflects a balance between proliferation and effector functions. Nature Communications. 10(1). 687–687. 102 indexed citations

12.

Fonseka, Chamith Y., Deepak A. Rao, Nikola C. Teslovich, et al.. (2018). Mixed-effects association of single cells identifies an expanded effector CD4 ⁺ T cell subset in rheumatoid arthritis. Science Translational Medicine. 10(463). 99 indexed citations

13.

Stein, Adam, et al.. (2018). Persons with Chronic Spinal Cord Injury Have Decreased Natural Killer Cell and Increased Toll-Like Receptor/Inflammatory Gene Expression. Journal of Neurotrauma. 35(15). 1819–1829. 37 indexed citations

14.

Korsunsky, Ilya, Iuliana Shapira, John L. Lovecchio, et al.. (2017). Two Microrna Signatures for Malignancy and Immune Infiltration Predict Overall Survival in Advanced Epithelial Ovarian Cancer. Journal of Investigative Medicine. 65(7). 1068–1076. 13 indexed citations

15.

Vergani, Stefano, Ilya Korsunsky, Andrea Nicola Mazzarello, et al.. (2017). Novel Method for High-Throughput Full-Length IGHV-D-J Sequencing of the Immune Repertoire from Bulk B-Cells with Single-Cell Resolution. Frontiers in Immunology. 8. 25 indexed citations

16.

Harris, Leonard A., Justin Hogg, John A. P. Sekar, et al.. (2016). BioNetGen 2.2: advances in rule-based modeling. Bioinformatics. 32(21). 3366–3368. 131 indexed citations

17.

Mackay, Meggan, Michaela Oswald, Jorge Sánchez‐Guerrero, et al.. (2016). Molecular signatures in systemic lupus erythematosus: distinction between disease flare and infection. Lupus Science & Medicine. 3(1). e000159–e000159. 28 indexed citations

18.

Ramazzotti, Daniele, Giulio Caravagna, Loes M. Olde Loohuis, et al.. (2015). CAPRI: efficient inference of cancer progression models from cross-sectional data. Bioinformatics. 31(18). 3016–3026. 57 indexed citations

19.

Korsunsky, Ilya, et al.. (2014). Systems Biology of Cancer: A Challenging Expedition for Clinical and Quantitative Biologists. Frontiers in Bioengineering and Biotechnology. 2. 27–27. 7 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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