Piotr Gawron

2.4k total citations
22 papers, 725 citations indexed

About

Piotr Gawron is a scholar working on Molecular Biology, Computational Theory and Mathematics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Piotr Gawron has authored 22 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Piotr Gawron's work include Bioinformatics and Genomic Networks (10 papers), Genomics and Phylogenetic Studies (7 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Piotr Gawron is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Genomics and Phylogenetic Studies (7 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Piotr Gawron collaborates with scholars based in Luxembourg, Poland and France. Piotr Gawron's co-authors include Paul Wilmes, Tomasz Sternal, Cédric C. Laczny, Arash Atashpendar, Sergio Coronado, Nikos Vlassis, Valentin Plugaru, Laurens van der Maaten, Reinhard Schneider and Marek Ostaszewski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Protein Science.

In The Last Decade

Piotr Gawron

21 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piotr Gawron Luxembourg 13 447 116 94 65 64 22 725
S. Austin Hammond Canada 13 514 1.1× 173 1.5× 96 1.0× 47 0.7× 52 0.8× 22 870
Sharon Greenblum United States 9 762 1.7× 182 1.6× 215 2.3× 76 1.2× 75 1.2× 17 1.1k
Yuqi Wang United States 4 984 2.2× 161 1.4× 118 1.3× 32 0.5× 32 0.5× 7 1.3k
Francesco Vezzi Sweden 17 527 1.2× 125 1.1× 215 2.3× 55 0.8× 61 1.0× 26 944
Guoqing Huang China 11 527 1.2× 142 1.2× 111 1.2× 35 0.5× 28 0.4× 27 1.1k
Arvind Gupta India 16 398 0.9× 90 0.8× 53 0.6× 252 3.9× 32 0.5× 65 909
Guido Hasenbrink Germany 7 228 0.5× 61 0.5× 108 1.1× 22 0.3× 46 0.7× 8 539
Youngik Yang United States 13 535 1.2× 349 3.0× 64 0.7× 20 0.3× 27 0.4× 31 949
J. A. Cruz Canada 7 432 1.0× 221 1.9× 45 0.5× 32 0.5× 15 0.2× 7 718
Karissa L. Cross United States 10 276 0.6× 156 1.3× 62 0.7× 201 3.1× 26 0.4× 14 626

Countries citing papers authored by Piotr Gawron

Since Specialization
Citations

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

Fields of papers citing papers by Piotr Gawron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piotr Gawron

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

All Works

20 of 20 papers shown
1.
Gawron, Piotr, et al.. (2023). Exploration and comparison of molecular mechanisms across diseases using MINERVA Net. Protein Science. 32(2). e4565–e4565. 4 indexed citations
2.
Gawron, Piotr, David Hoksza, Janet Piñero, et al.. (2023). Visualization of automatically combined disease maps and pathway diagrams for rare diseases. SHILAP Revista de lepidopterología. 3. 1101505–1101505.
3.
Marynowska, Martyna, David Sillam‐Dussès, Xavier Goux, et al.. (2023). A holobiont approach towards polysaccharide degradation by the highly compartmentalised gut system of the soil-feeding higher termite Labiotermes labralis. BMC Genomics. 24(1). 115–115. 15 indexed citations
4.
Gawron, Piotr, Valentin Grouès, Claire Pauly, et al.. (2022). Smart Scheduling (SMASCH): multi-appointment scheduling system for longitudinal clinical research studies. JAMIA Open. 5(2). ooac038–ooac038. 2 indexed citations
5.
Całusińska, Magdalena, Martyna Marynowska, Xavier Goux, et al.. (2020). Integrative omics analysis of the termite gut system adaptation to Miscanthus diet identifies lignocellulose degradation enzymes. Communications Biology. 3(1). 275–275. 48 indexed citations
6.
Marynowska, Martyna, Xavier Goux, David Sillam‐Dussès, et al.. (2020). Compositional and functional characterisation of biomass-degrading microbial communities in guts of plant fibre- and soil-feeding higher termites. Microbiome. 8(1). 96–96. 42 indexed citations
7.
Singh, Vidisha, George D. Kalliolias, Marek Ostaszewski, et al.. (2020). RA-map: building a state-of-the-art interactive knowledge base for rheumatoid arthritis. Database. 2020. 22 indexed citations
8.
Hoksza, David, Piotr Gawron, Marek Ostaszewski, Jan Hasenauer, & Reinhard Schneider. (2019). Closing the gap between formats for storing layout information in systems biology. Briefings in Bioinformatics. 21(4). 1249–1260. 14 indexed citations
9.
Hoksza, David, et al.. (2019). MINERVA API and plugins: opening molecular network analysis and visualization to the community. Bioinformatics. 35(21). 4496–4498. 17 indexed citations
10.
Ostaszewski, Marek, Stephan Gebel, Inna Kuperstein, et al.. (2018). Community-driven roadmap for integrated disease maps. Briefings in Bioinformatics. 20(2). 659–670. 37 indexed citations
11.
Hoksza, David, Piotr Gawron, Marek Ostaszewski, & Reinhard Schneider. (2018). MolArt: a molecular structure annotation and visualization tool. Bioinformatics. 34(23). 4127–4128. 18 indexed citations
12.
Satagopam, Venkata, Wei Gu, Serge Eifes, et al.. (2016). Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases. Big Data. 4(2). 97–108. 34 indexed citations
13.
Gawron, Piotr, Marek Ostaszewski, Venkata Satagopam, et al.. (2016). MINERVA—a platform for visualization and curation of molecular interaction networks. npj Systems Biology and Applications. 2(1). 16020–16020. 57 indexed citations
14.
Gawron, Piotr, et al.. (2015). Zrównoważone planowanie publicznego transportu zbiorowego w ramach jednostek terytorialnych – spójna metodyka oparta na metodach optymalizacji. Logistyka. 90–98. 1 indexed citations
15.
Laczny, Cédric C., Tomasz Sternal, Valentin Plugaru, et al.. (2015). VizBin - an application for reference-independent visualization and human-augmented binning of metagenomic data. Microbiome. 3(1). 1–1. 324 indexed citations
16.
Jaśkowski, Wojciech, et al.. (2015). A hybrid MIP-based large neighborhood search heuristic for solving the machine reassignment problem. Annals of Operations Research. 242(1). 33–62. 7 indexed citations
17.
Błażewicz, Jacek, et al.. (2013). Dna Sequence Assembly Involving an Acyclic Graph Model. Foundations of Computing and Decision Sciences. 38(1). 25–34. 5 indexed citations
18.
Błażewicz, Jacek, Marek Figlerowicz, Piotr Gawron, et al.. (2009). Whole genome assembly from 454 sequencing output via modified DNA graph concept. Computational Biology and Chemistry. 33(3). 224–230. 17 indexed citations
19.
Błażewicz, Jacek, Marek Figlerowicz, Piotr Gawron, et al.. (2008). A new algorithm for genome assembly from short reads. 1–4. 2 indexed citations
20.
Błażewicz, Jacek, Marta Kasprzak, Marek Figlerowicz, et al.. (2008). Parallel Implementation of the Novel Approach to Genome Assembly. 6. 732–737. 1 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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