Katja Nowick

2.2k total citations · 1 hit paper
37 papers, 1.4k citations indexed

About

Katja Nowick is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Katja Nowick has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 14 papers in Genetics and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Katja Nowick's work include Genomics and Chromatin Dynamics (12 papers), Bioinformatics and Genomic Networks (9 papers) and RNA and protein synthesis mechanisms (9 papers). Katja Nowick is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), Bioinformatics and Genomic Networks (9 papers) and RNA and protein synthesis mechanisms (9 papers). Katja Nowick collaborates with scholars based in Germany, United States and Austria. Katja Nowick's co-authors include Svante Pääbo, Lisa Stubbs, Philipp Khaitovich, Marcus Leinweber, Günter Weiß, Michael Lachmann, Ines Hellmann, Wolfgang Enard, Henriette Franz and Eivind Almaas and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Katja Nowick

35 papers receiving 1.4k 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.

Parallel Patterns of Evolution in the Genomes and Transcriptomes of Humans and Chimpanzees

2005 446 citations Philipp Khaitovich, Katja Nowick et al. Science profile →

Peers

Katja Nowick

MB

GENET

PS

CR

IMMUN

Mark Barnett United Kingdom

Alex T. Kalinka Germany

Ian King United States

Martina Rembold Germany

Summer B. Thyme United States

Ignacio Maeso Spain

Fred D. Singer United States

Patrick Evans United States

Alexander W. Bruce Czechia

Maayan Schwarzkopf United States

Mark Barnett United Kingdom

Katja Nowick

986 ×1.0

MB

433 ×0.9

GENET

331 ×1.9

PS

111 ×0.8

CR

118 ×1.3

IMMUN

Citations per year, relative to Katja Nowick Katja Nowick (= 1×) peers Mark Barnett

Countries citing papers authored by Katja Nowick

Since Specialization

Citations

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

Fields of papers citing papers by Katja Nowick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Nowick

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Nowick. A scholar is included among the top collaborators of Katja Nowick 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 Nowick. Katja Nowick 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

1.

Loveland, Jasmine L., Vladimir Jovanović, Gabriele Möller, et al.. (2025). A single gene orchestrates androgen variation underlying male mating morphs in ruffs. Science. 387(6732). 406–412. 8 indexed citations

2.

Linke, Lyndsey, Ana Catalán, Vincent Doublet, et al.. (2025). ATAC‐seq in Emerging Model Organisms: Challenges and Strategies. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 344(7). 394–414.

3.

Nowick, Katja, et al.. (2025). Molecular Variation in Thermoregulatory Adaptation in Rodents. PubMed. 98(5). 281–301. 1 indexed citations

4.

Nowick, Katja, et al.. (2024). mtDNA “nomenclutter” and its consequences on the interpretation of genetic data. SHILAP Revista de lepidopterología. 24(1). 110–110.

5.

Gysi, Deisy Morselli, Annegret Grimm‐Seyfarth, Márton Szabolcs, et al.. (2021). Accelerated Evolution of Tissue-Specific Genes Mediates Divergence Amidst Gene Flow in European Green Lizards. Genome Biology and Evolution. 13(8). 1 indexed citations

6.

Gysi, Deisy Morselli, et al.. (2020). Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA). PLoS ONE. 15(10). e0240523–e0240523. 13 indexed citations

7.

Marques, João Pedro, Graciela Sotelo, Juan Galindo, et al.. (2020). Transcriptomic resources for evolutionary studies in flat periwinkles and related species. Scientific Data. 7(1). 73–73. 3 indexed citations

8.

Siederdissen, Christian Höner zu, et al.. (2019). SSS-test: a novel test for detecting positive selection on RNA secondary structure. BMC Bioinformatics. 20(1). 151–151. 10 indexed citations

9.

Gysi, Deisy Morselli, et al.. (2018). CoDiNA: an RPackage for Co-expression Differential Network Analysis in n Dimensions. arXiv (Cornell University). 2 indexed citations

10.

Weigert, Anne, Cathrin Spröer, Manjusha Chintalapati, et al.. (2018). Divergent evolution in the genomes of closely related lacertids, Lacerta viridis and L. bilineata, and implications for speciation. GigaScience. 8(2). 10 indexed citations

11.

Nowick, Katja, et al.. (2017). A composite network of conserved and tissue specific gene interactions reveals possible genetic interactions in glioma. PLoS Computational Biology. 13(9). e1005739–e1005739. 11 indexed citations

12.

Berto, Stefano, et al.. (2016). A Consensus Network of Gene Regulatory Factors in the Human Frontal Lobe. Frontiers in Genetics. 7. 31–31. 18 indexed citations

13.

Nowick, Katja, Ilaria Piccini, Ralf Sudbrak, et al.. (2016). Human Lineage-Specific Transcriptional Regulation through GA-Binding Protein Transcription Factor Alpha (GABPa). Molecular Biology and Evolution. 33(5). 1231–1244. 22 indexed citations

14.

Kanton, Sabina, et al.. (2014). The role of gene regulatory factors in the evolutionary history of humans. Current Opinion in Genetics & Development. 29. 60–67. 17 indexed citations

15.

Nowick, Katja, Miguel Carneiro, & Rui Faria. (2012). A prominent role of KRAB-ZNF transcription factors in mammalian speciation?. Trends in Genetics. 29(3). 130–139. 33 indexed citations

16.

Nowick, Katja, et al.. (2011). Gain, Loss and Divergence in Primate Zinc-Finger Genes: A Rich Resource for Evolution of Gene Regulatory Differences between Species. PLoS ONE. 6(6). e21553–e21553. 47 indexed citations

17.

Suk, Eun-Kyung, Gayle K. McEwen, Jorge Duitama, et al.. (2011). A comprehensively molecular haplotype-resolved genome of a European individual. Genome Research. 21(10). 1672–1685. 61 indexed citations

18.

Nowick, Katja & Lisa Stubbs. (2010). Lineage-specific transcription factors and the evolution of gene regulatory networks. Briefings in Functional Genomics. 9(1). 65–78. 46 indexed citations

19.

Farkas, Lilla, Christiane Haffner, Thomas Giger, et al.. (2008). Insulinoma-Associated 1 Has a Panneurogenic Role and Promotes the Generation and Expansion of Basal Progenitors in the Developing Mouse Neocortex. Neuron. 60(1). 40–55. 130 indexed citations

20.

Stroud, James C., Yongqing Wu, D.L. Bates, et al.. (2006). Structure of the Forkhead Domain of FOXP2 Bound to DNA. Structure. 14(1). 159–166. 162 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.

Explore authors with similar magnitude of impact