Jan Zaucha

536 total citations
18 papers, 273 citations indexed

About

Jan Zaucha is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Jan Zaucha has authored 18 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Spectroscopy. Recurrent topics in Jan Zaucha's work include RNA and protein synthesis mechanisms (5 papers), Genomics and Rare Diseases (4 papers) and Machine Learning in Bioinformatics (4 papers). Jan Zaucha is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Genomics and Rare Diseases (4 papers) and Machine Learning in Bioinformatics (4 papers). Jan Zaucha collaborates with scholars based in Germany, United Kingdom and Russia. Jan Zaucha's co-authors include Dmitrij Frishman, M. Michael Gromiha, A. Kulandaisamy, Julian Gough, Matt E. Oates, Ben Smithers, Hai Fang, Owen J. L. Rackham, Natalie Thurlby and Stefan F. Lichtenthaler and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

In The Last Decade

Jan Zaucha

17 papers receiving 269 citations

Peers

Jan Zaucha

GENET

PHYSI

SPECT

Amanda Edwards United States

Vittoria Monaco Italy

Eli Fritz McDonald United States

T. Bertie Ansell United Kingdom

Zhihe Kuang Australia

Andrew D. Mathis United States

Ryan P. Bingham United Kingdom

Ling-Shiang Chuang United States

Tomer Tsaban Israel

Maya Schushan Israel

Amanda Edwards United States

Jan Zaucha

254 ×1.4

19 ×0.3

GENET

37 ×1.5

PHYSI

22 ×0.9

29 ×1.2

SPECT

Citations per year, relative to Jan Zaucha Jan Zaucha (= 1×) peers Amanda Edwards

Countries citing papers authored by Jan Zaucha

Since Specialization

Citations

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

Fields of papers citing papers by Jan Zaucha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Zaucha

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

Puła, Bartosz, Joanna Drozd‐Sokołowska, Anna Czyż, et al.. (2025). Potransplantacyjne choroby limfoproliferacyjne — rekomendacje diagnostyki i leczenia Polskiej Grupy Badawczej Chłoniaków w 2025 roku. 5(1-2). 1–19.

Lu, Chang, Jan Zaucha, Hai Fang, et al.. (2023). Hypothesis-free phenotype prediction within a genetics-first framework. Nature Communications. 14(1). 919–919. 3 indexed citations

Zaucha, Jan, et al.. (2021). Author Correction: Edgetic perturbation signatures represent known and novel cancer biomarkers. Scientific Reports. 11(1). 3582–3582. 1 indexed citations

Zaucha, Jan, et al.. (2020). Detection of epistasis between ACTN3 and SNAP-25 with an insight towards gymnastic aptitude identification. PLoS ONE. 15(8). e0237808–e0237808. 3 indexed citations

Kulandaisamy, A., Jan Zaucha, Dmitrij Frishman, & M. Michael Gromiha. (2020). MPTherm-pred: Analysis and Prediction of Thermal Stability Changes upon Mutations in Transmembrane Proteins. Journal of Molecular Biology. 433(11). 166646–166646. 16 indexed citations

Zaucha, Jan, Michael Heinzinger, A. Kulandaisamy, et al.. (2020). Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins. Briefings in Bioinformatics. 22(3). 16 indexed citations

Zaucha, Jan, et al.. (2020). Edgetic perturbation signatures represent known and novel cancer biomarkers. Scientific Reports. 10(1). 4350–4350. 6 indexed citations

Tüshaus, Johanna, et al.. (2020). Neuronal Differentiation of LUHMES Cells Induces Substantial Changes of the Proteome. PROTEOMICS. 21(1). e2000174–e2000174. 8 indexed citations

Zaucha, Jan, Michael Heinzinger, S. I. Tarnovskaya, Burkhard Rost, & Dmitrij Frishman. (2020). Family-specific analysis of variant pathogenicity prediction tools. NAR Genomics and Bioinformatics. 2(2). lqaa014–lqaa014. 10 indexed citations

10.

Zaucha, Jan, et al.. (2020). Deep learning model predicts water interaction sites on the surface of proteins using limited-resolution data. Chemical Communications. 56(98). 15454–15457. 7 indexed citations

11.

Wilkinson, Paul A., Alexandra M. Allen, Simon Tyrrell, et al.. (2020). CerealsDB—new tools for the analysis of the wheat genome: update 2020. Database. 2020. 13 indexed citations

12.

Tüshaus, Johanna, Stephan A. Müller, Jan Zaucha, et al.. (2020). An optimized quantitative proteomics method establishes the cell type‐resolved mouse brain secretome. The EMBO Journal. 39(20). e105693–e105693. 58 indexed citations

13.

Kulandaisamy, A., Jan Zaucha, Ramasamy Sakthivel, Dmitrij Frishman, & M. Michael Gromiha. (2019). Pred‐MutHTP: Prediction of disease‐causing and neutral mutations in human transmembrane proteins. Human Mutation. 41(3). 581–590. 23 indexed citations

14.

Zaucha, Jan & Jonathan G. Heddle. (2017). Resurrecting the Dead (Molecules). Computational and Structural Biotechnology Journal. 15. 351–358. 8 indexed citations

15.

Oates, Matt E., Dimitrios V. Vavoulis, Ben Smithers, et al.. (2014). The SUPERFAMILY 1.75 database in 2014: a doubling of data. Nucleic Acids Research. 43(D1). D227–D233. 61 indexed citations

16.

Zaucha, Jan, Matt E. Oates, Natalie Thurlby, et al.. (2014). A P roteome Q uality I ndex. Environmental Microbiology. 17(1). 4–9. 5 indexed citations

17.

Zaucha, Jan, et al.. (2013). Identification of a cation transport pathway in Neisseria meningitidis PorB. Proteins Structure Function and Bioinformatics. 81(5). 830–840. 11 indexed citations

18.

Zaucha, Jan, et al.. (2013). Crystallographic analysis of Neisseria meningitidis PorB extracellular loops potentially implicated in TLR2 recognition. Journal of Structural Biology. 185(3). 440–447. 24 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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