Eugene Katsevich

574 total citations
12 papers, 243 citations indexed

About

Eugene Katsevich is a scholar working on Molecular Biology, Statistics and Probability and Structural Biology. According to data from OpenAlex, Eugene Katsevich has authored 12 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Statistics and Probability and 1 paper in Structural Biology. Recurrent topics in Eugene Katsevich's work include Statistical Methods in Clinical Trials (5 papers), Statistical Methods and Inference (4 papers) and Single-cell and spatial transcriptomics (3 papers). Eugene Katsevich is often cited by papers focused on Statistical Methods in Clinical Trials (5 papers), Statistical Methods and Inference (4 papers) and Single-cell and spatial transcriptomics (3 papers). Eugene Katsevich collaborates with scholars based in United States, Sweden and Netherlands. Eugene Katsevich's co-authors include Alexander Katsevich, Amit Singer, Chiara Sabatti, Aaditya Ramdas, Stephen Bates, Matteo Sesia, Emmanuel J. Candès, Timothy Barry, Kathryn Roeder and Ge Wang and has published in prestigious journals such as Science, Nature Communications and Nature Biotechnology.

In The Last Decade

Eugene Katsevich

12 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eugene Katsevich United States	7	121	52	46	37	28	12	243
Jitin Singla United States	8	138 1.1×	16 0.3×		50 1.4×	21 0.8×	23	269
Miguel Ricardo Leung Netherlands	8	140 1.2×	80 1.5×		33 0.9×	13 0.5×	13	312
Wai Shing Tang United States	9	368 3.0×	7 0.1×	8 0.2×	30 0.8×	12 0.4×	15	556
Estibaliz Gómez‐de‐Mariscal Portugal	9	110 0.9×	10 0.2×	1 0.0×	20 0.5×	13 0.5×	13	358
Marten L. Chaillet Netherlands	6	132 1.1×	14 0.3×		82 2.2×	37 1.3×	8	209
Frank Sieckmann Germany	6	152 1.3×	16 0.3×		81 2.2×	24 0.9×	7	273
Niyun Zhou China	7	64 0.5×	15 0.3×		27 0.7×	11 0.4×	12	298
Cecilia Aguerrebere United States	9	58 0.5×	2 0.0×	5 0.1×	87 2.4×	49 1.8×	20	268
Bingnan Luo China	7	149 1.2×	28 0.5×		20 0.5×	3 0.1×	13	206
Tunde Aderinwale United States	8	159 1.3×	10 0.2×		26 0.7×	10 0.4×	10	198

Countries citing papers authored by Eugene Katsevich

Since Specialization

Citations

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

Fields of papers citing papers by Eugene Katsevich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Katsevich

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

All Works

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12 of 12 papers shown

Barry, Timothy, et al.. (2024). Robust differential expression testing for single-cell CRISPR screens at low multiplicity of infection. Genome biology. 25(1). 124–124. 5 indexed citations

Yan, Rachel, Wang Xiao, Xinhe Xue, et al.. (2024). Pooled CRISPR screens with joint single-nucleus chromatin accessibility and transcriptome profiling. Nature Biotechnology. 43(10). 1628–1634. 5 indexed citations

Dukes, Oliver, et al.. (2024). Reconciling model-X and doubly robust approaches to conditional independence testing. The Annals of Statistics. 52(3). 2 indexed citations

Morris, John, Christina M. Caragine, Zharko Daniloski, et al.. (2023). Discovery of target genes and pathways at GWAS loci by pooled single-cell CRISPR screens. Science. 380(6646). eadh7699–eadh7699. 84 indexed citations

Katsevich, Eugene & Aaditya Ramdas. (2022). On the power of conditional independence testing under model-X. Electronic Journal of Statistics. 16(2). 6 indexed citations

Chen, Xu, et al.. (2022). Large‐scale simultaneous inference under dependence. Scandinavian Journal of Statistics. 50(2). 750–796. 7 indexed citations

Liu, Molei, Eugene Katsevich, Lucas Janson, & Aaditya Ramdas. (2021). Fast and powerful conditional randomization testing via distillation. Biometrika. 109(2). 277–293. 17 indexed citations

Sesia, Matteo, Eugene Katsevich, Stephen Bates, Emmanuel J. Candès, & Chiara Sabatti. (2020). Multi-resolution localization of causal variants across the genome. Nature Communications. 11(1). 1093–1093. 39 indexed citations

Zhu, Junjie, Qian Zhao, Eugene Katsevich, & Chiara Sabatti. (2019). Exploratory Gene Ontology Analysis with Interactive Visualization. Scientific Reports. 9(1). 7793–7793. 12 indexed citations

10.

Katsevich, Eugene & Aaditya Ramdas. (2018). Towards "simultaneous selective inference": post-hoc bounds on the false discovery proportion. arXiv (Cornell University). 3 indexed citations

11.

Katsevich, Eugene, Alexander Katsevich, & Amit Singer. (2015). Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem. SIAM Journal on Imaging Sciences. 8(1). 126–185. 44 indexed citations

12.

Katsevich, Eugene, Alexander Katsevich, & Ge Wang. (2012). Stability of the interior problem with polynomial attenuation in the region of interest. Inverse Problems. 28(6). 65022–65022. 19 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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