Jan Hoinka

909 total citations
18 papers, 522 citations indexed

About

Jan Hoinka is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Jan Hoinka has authored 18 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Jan Hoinka's work include Advanced biosensing and bioanalysis techniques (11 papers), RNA and protein synthesis mechanisms (8 papers) and interferon and immune responses (3 papers). Jan Hoinka is often cited by papers focused on Advanced biosensing and bioanalysis techniques (11 papers), RNA and protein synthesis mechanisms (8 papers) and interferon and immune responses (3 papers). Jan Hoinka collaborates with scholars based in United States, Australia and Germany. Jan Hoinka's co-authors include Teresa M. Przytycka, Zuben E. Sauna, Alexey Berezhnoy, Eli Gilboa, Adam Friedman, Elena Zotenko, Matthew C. T. Hartman, Agata Levay, Randall Brenneman and Marco Cardone and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Jan Hoinka

18 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Hoinka United States 11 497 90 57 45 35 18 522
Kristen M. Wilding United States 8 349 0.7× 74 0.8× 65 1.1× 54 1.2× 15 0.4× 16 438
Helle Aurup Germany 5 658 1.3× 41 0.5× 40 0.7× 52 1.2× 42 1.2× 7 688
Lena Thoring Germany 10 416 0.8× 58 0.6× 123 2.2× 82 1.8× 21 0.6× 16 500
Nicole M. Nichols United States 12 351 0.7× 33 0.4× 29 0.5× 36 0.8× 27 0.8× 25 428
Matthew P Beaudet United States 4 238 0.5× 61 0.7× 12 0.2× 43 1.0× 19 0.5× 6 320
Alexei L. Drobyshev Russia 9 368 0.7× 105 1.2× 20 0.4× 43 1.0× 22 0.6× 15 479
Jake A. Melby United States 12 390 0.8× 60 0.7× 29 0.5× 10 0.2× 24 0.7× 19 602
Anne Zemella Germany 9 374 0.8× 46 0.5× 104 1.8× 73 1.6× 16 0.5× 30 458
Brandon J. Sullivan United States 7 349 0.7× 34 0.4× 69 1.2× 21 0.5× 16 0.5× 9 419
Michael G. Mohsen United States 10 472 0.9× 153 1.7× 7 0.1× 69 1.5× 32 0.9× 17 521

Countries citing papers authored by Jan Hoinka

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hoinka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Hoinka

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

All Works

18 of 18 papers shown
1.
Hoinka, Jan & Teresa M. Przytycka. (2022). The Bioinformatics of Aptamers: HT-SELEX Analysis with AptaSUITE. Methods in molecular biology. 2570. 73–83. 4 indexed citations
2.
Wójtowicz, Damian, et al.. (2021). RepairSig: Deconvolution of DNA damage and repair contributions to the mutational landscape of cancer. Cell Systems. 12(10). 994–1003.e4. 6 indexed citations
3.
Banerjee, Soma, Jan Hoinka, Nicholas J. Lennemann, et al.. (2021). DNA Aptamers for Early Detection of Ebolavirus. The FASEB Journal. 35(S1). 2 indexed citations
4.
Hoinka, Jan, Yijie Wang, & Teresa M. Przytycka. (2020). AptaBlocks Online: A Web-Based Toolkit for the In Silico Design of Oligonucleotide Sticky Bridges. Journal of Computational Biology. 27(3). 356–360. 1 indexed citations
5.
Hoinka, Jan, et al.. (2020). Direct, Competitive Comparison of Linear, Monocyclic, and Bicyclic Libraries Using mRNA Display. ACS Combinatorial Science. 22(6). 306–310. 18 indexed citations
6.
Hoinka, Jan & Teresa M. Przytycka. (2020). Embedding gene sets in low-dimensional space. Nature Machine Intelligence. 2(7). 367–368. 1 indexed citations
7.
Pal, Soumitra, Jan Hoinka, & Teresa M. Przytycka. (2019). Co-SELECT reveals sequence non-specific contribution of DNA shape to transcription factor binding in vitro. Nucleic Acids Research. 47(13). 6632–6641. 16 indexed citations
8.
Hoinka, Jan, et al.. (2019). Subpopulation Detection and Their Comparative Analysis across Single-Cell Experiments with scPopCorn. Cell Systems. 8(6). 506–513.e5. 10 indexed citations
9.
Hoinka, Jan, Soma Banerjee, Nicholas J. Lennemann, et al.. (2018). A 2′FY-RNA Motif Defines an Aptamer for Ebolavirus Secreted Protein. Scientific Reports. 8(1). 12373–12373. 23 indexed citations
10.
Hoinka, Jan, et al.. (2018). AptaBlocks: Designing RNA complexes and accelerating RNA-based drug delivery systems. Nucleic Acids Research. 46(16). 8133–8142. 7 indexed citations
11.
Hoinka, Jan, et al.. (2017). Highly Constrained Bicyclic Scaffolds for the Discovery of Protease-Stable Peptides via mRNA Display. ACS Chemical Biology. 12(3). 795–804. 52 indexed citations
12.
Hoinka, Jan & Teresa M. Przytycka. (2016). AptaPLEX – A dedicated, multithreaded demultiplexer for HT-SELEX data. Methods. 106. 82–85. 16 indexed citations
13.
Hoinka, Jan, Mayumí Takáhashi, Jiehua Zhou, et al.. (2016). AptaTRACE Elucidates RNA Sequence-Structure Motifs from Selection Trends in HT-SELEX Experiments. Cell Systems. 3(1). 62–70. 53 indexed citations
14.
Hoinka, Jan, et al.. (2015). AptaGUI—A Graphical User Interface for the Efficient Analysis of HT-SELEX Data. Molecular Therapy — Nucleic Acids. 4. e257–e257. 12 indexed citations
15.
Hoinka, Jan, et al.. (2015). Large scale analysis of the mutational landscape in HT-SELEX improves aptamer discovery. Nucleic Acids Research. 43(12). 5699–5707. 88 indexed citations
16.
Levay, Agata, Randall Brenneman, Jan Hoinka, et al.. (2015). Identifying high-affinity aptamer ligands with defined cross-reactivity using high-throughput guided systematic evolution of ligands by exponential enrichment. Nucleic Acids Research. 43(12). e82–e82. 64 indexed citations
17.
Hoinka, Jan, Alexey Berezhnoy, Zuben E. Sauna, Eli Gilboa, & Teresa M. Przytycka. (2014). AptaCluster – A Method to Cluster HT-SELEX Aptamer Pools and Lessons from Its Application. Lecture notes in computer science. 8394. 115–128. 72 indexed citations
18.
Hoinka, Jan, Elena Zotenko, Adam Friedman, Zuben E. Sauna, & Teresa M. Przytycka. (2012). Identification of sequence–structure RNA binding motifs for SELEX-derived aptamers. Bioinformatics. 28(12). i215–i223. 77 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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