Katja Schwartz

2.7k total citations · 1 hit paper
18 papers, 1.5k citations indexed

About

Katja Schwartz is a scholar working on Molecular Biology, Genetics and Food Science. According to data from OpenAlex, Katja Schwartz has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Food Science. Recurrent topics in Katja Schwartz's work include Fungal and yeast genetics research (11 papers), Evolution and Genetic Dynamics (5 papers) and Genomics and Phylogenetic Studies (4 papers). Katja Schwartz is often cited by papers focused on Fungal and yeast genetics research (11 papers), Evolution and Genetic Dynamics (5 papers) and Genomics and Phylogenetic Studies (4 papers). Katja Schwartz collaborates with scholars based in United States, Italy and United Kingdom. Katja Schwartz's co-authors include Gavin Sherlock, Davide Risso, Sandrine Dudoit, David Botstein, Kristy L. Richards, Jared W. Wenger, Jason D. Buenrostro, Sarah K. Denny, Alicia N. Schep and William J. Greenleaf and has published in prestigious journals such as Genetics, Genome Research and Genome biology.

In The Last Decade

Katja Schwartz

17 papers receiving 1.5k 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.

GC-Content Normalization for RNA-Seq Data

2011 540 citations Davide Risso, Katja Schwartz et al. BMC Bioinformatics profile →

Peers

Katja Schwartz

GENET

Li Luo United States

Kevin McCluskey United States

Tran C. Thai United States

Qiong Wang China

Sandra Clauder‐Münster Germany

Yongsheng Bai United States

Joshua A. Baller United States

Sergio Comincini Italy

Н. А. Лисицын Russia

Andrew R. Buchman United States

Li Luo United States

Katja Schwartz

892 ×0.7

190 ×0.7

217 ×0.8

260 ×1.1

GENET

156 ×1.0

Citations per year, relative to Katja Schwartz Katja Schwartz (= 1×) peers Li Luo

Countries citing papers authored by Katja Schwartz

Since Specialization

Citations

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

Fields of papers citing papers by Katja Schwartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Schwartz

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

All Works

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18 of 18 papers shown

Schwartz, Katja, et al.. (2025). Adaptive genetics reveals constraints on protein structure/function by evolving E. coli under constant nutrient limitation. BMC Biology. 23(1). 261–261.

Schwartz, Katja, et al.. (2023). Paths to adaptation under fluctuating nitrogen starvation: The spectrum of adaptive mutations in Saccharomyces cerevisiae is shaped by retrotransposons and microhomology-mediated recombination. PLoS Genetics. 19(5). e1010747–e1010747. 5 indexed citations

Kinnersley, Margie, et al.. (2021). Evolutionary dynamics and structural consequences of de novo beneficial mutations and mutant lineages arising in a constant environment. BMC Biology. 19(1). 20–20. 6 indexed citations

Blundell, Jamie R., et al.. (2018). The dynamics of adaptive genetic diversity during the early stages of clonal evolution. Nature Ecology & Evolution. 3(2). 293–301. 33 indexed citations

Schwartz, Katja & Gavin Sherlock. (2016). High-Throughput Yeast Strain Sequencing. Cold Spring Harbor Protocols. 2016(10). pdb.top077651–pdb.top077651. 4 indexed citations

Schwartz, Katja & Gavin Sherlock. (2016). Preparation of Yeast DNA Sequencing Libraries. Cold Spring Harbor Protocols. 2016(10). pdb.prot088930–pdb.prot088930. 7 indexed citations

Loll‐Krippleber, Raphaël, Pierre‐Henri Commère, Corinne Maufrais, et al.. (2016). Analysis of Repair Mechanisms following an Induced Double-Strand Break Uncovers Recessive Deleterious Alleles in the Candida albicans Diploid Genome. mBio. 7(5). 28 indexed citations

Schep, Alicia N., Jason D. Buenrostro, Sarah K. Denny, et al.. (2015). Structured nucleosome fingerprints enable high-resolution mapping of chromatin architecture within regulatory regions. Genome Research. 25(11). 1757–1770. 218 indexed citations

Chiotti, Kami, et al.. (2014). The Valley-of-Death: Reciprocal sign epistasis constrains adaptive trajectories in a constant, nutrient limiting environment. Genomics. 104(6). 431–437. 14 indexed citations

10.

Muzzey, Dale, Katja Schwartz, Jonathan S. Weissman, & Gavin Sherlock. (2013). Assembly of a phased diploid Candida albicansgenome facilitates allele-specific measurements and provides a simple model for repeat and indel structure. Genome biology. 14(9). R97–R97. 89 indexed citations

11.

Schwartz, Katja, Jared W. Wenger, Barbara Dunn, & Gavin Sherlock. (2012). APJ1 and GRE3 Homologs Work in Concert to Allow Growth in Xylose in a Natural Saccharomyces sensu stricto Hybrid Yeast. Genetics. 191(2). 621–632. 23 indexed citations

12.

Risso, Davide, Katja Schwartz, Gavin Sherlock, & Sandrine Dudoit. (2011). GC-Content Normalization for RNA-Seq Data. BMC Bioinformatics. 12(1). 480–480. 540 indexed citations breakdown →

13.

Kao, Katy C., Katja Schwartz, & Gavin Sherlock. (2010). A Genome-Wide Analysis Reveals No Nuclear Dobzhansky-Muller Pairs of Determinants of Speciation between S. cerevisiae and S. paradoxus, but Suggests More Complex Incompatibilities. PLoS Genetics. 6(7). e1001038–e1001038. 60 indexed citations

14.

Wenger, Jared W., Katja Schwartz, & Gavin Sherlock. (2010). Bulk Segregant Analysis by High-Throughput Sequencing Reveals a Novel Xylose Utilization Gene from Saccharomyces cerevisiae. PLoS Genetics. 6(5). e1000942–e1000942. 146 indexed citations

15.

Elrod, Susan, et al.. (2009). Optimizing Sporulation Conditions for Different Saccharomyces cerevisiae Strain Backgrounds. Methods in molecular biology. 557. 21–26. 20 indexed citations

16.

Fisk, Dianna G., Catherine A. Ball, Kara Dolinski, et al.. (2006). Saccharomyces cerevisiae S288C genome annotation: a working hypothesis. Yeast. 23(12). 857–865. 80 indexed citations

17.

Richards, Kristy L., Kirk R. Anders, Eva Nogales, et al.. (2000). Structure–Function Relationships in Yeast Tubulins. Molecular Biology of the Cell. 11(5). 1887–1903. 102 indexed citations

18.

Schwartz, Katja, Kristy L. Richards, & David Botstein. (1997). BIM1Encodes a Microtubule-binding Protein in Yeast. Molecular Biology of the Cell. 8(12). 2677–2691. 168 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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