János Murvai

812 total citations
14 papers, 563 citations indexed

About

János Murvai is a scholar working on Molecular Biology, Materials Chemistry and Epidemiology. According to data from OpenAlex, János Murvai has authored 14 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Epidemiology. Recurrent topics in János Murvai's work include Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (6 papers) and Protein Structure and Dynamics (3 papers). János Murvai is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (6 papers) and Protein Structure and Dynamics (3 papers). János Murvai collaborates with scholars based in Italy, Hungary and United States. János Murvai's co-authors include Gábor Marth, Éva Czabarka, Stephen T. Sherry, Kristian Vlahoviček, Sándor Pongor, Csaba Szepesvári, Zsolt Boldogkői, S. Pongor, Mario Foglio and Julie Soutourina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

János Murvai

14 papers receiving 558 citations

Peers

János Murvai
Eyal Elyashiv United States
Lana S. Martin United States
Matthias Steinrücken United States
Sara Sheehan United States
Christopher T. Ostler United States
Anthony Wilder Wohns United Kingdom
Carll Ladd United States
Eyal Elyashiv United States
János Murvai
Citations per year, relative to János Murvai János Murvai (= 1×) peers Eyal Elyashiv

Countries citing papers authored by János Murvai

Since Specialization
Citations

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

Fields of papers citing papers by János Murvai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of János Murvai

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

All Works

14 of 14 papers shown
1.
Alibert, Olivier, Yad Ghavi-Helm, Fayçal Boussouar, et al.. (2011). Genomic binding of Pol III transcription machinery and relationship with TFIIS transcription factor distribution in mouse embryonic stem cells. Nucleic Acids Research. 40(1). 270–283. 59 indexed citations
2.
Marth, Gábor, Éva Czabarka, János Murvai, & Stephen T. Sherry. (2004). The Allele Frequency Spectrum in Genome-Wide Human Variation Data Reveals Signals of Differential Demographic History in Three Large World Populations. Genetics. 166(1). 351–372. 240 indexed citations
3.
Marth, Gábor, Greg Schuler, R. John Davenport, et al.. (2002). Sequence variations in the public human genome data reflect a bottlenecked population history. Proceedings of the National Academy of Sciences. 100(1). 376–381. 69 indexed citations
4.
Murvai, János, Kristian Vlahoviček, Csaba Szepesvári, & Sándor Pongor. (2001). Prediction of Protein Functional Domains from Sequences Using Artificial Neural Networks. Genome Research. 11(8). 1410–1417. 23 indexed citations
5.
Murvai, János. (2001). The SBASE protein domain library, release 8.0: a collection of annotated protein sequence segments. Nucleic Acids Research. 29(1). 58–60. 18 indexed citations
6.
Murvai, János. (2000). The SBASE protein domain library, release 7.0: a collection of annotated protein sequence segments. Nucleic Acids Research. 28(1). 260–262. 12 indexed citations
7.
Murvai, János, Kristian Vlahoviček, & Sándor Pongor. (2000). A simple probabilistic scoring method for protein domain identification. Bioinformatics. 16(12). 1155–1156. 10 indexed citations
8.
Murvai, János, et al.. (1999). The SBASE protein domain library, release 6.0: a collection of annotated protein sequence segments. Nucleic Acids Research. 27(1). 257–259. 5 indexed citations
9.
Murvai, János, Kristian Vlahoviček, Endre Barta, et al.. (1999). The domain-server: direct prediction of protein domain-homologies from BLAST search.. Bioinformatics. 15(4). 343–344. 7 indexed citations
10.
Fábián, Péter, et al.. (1997). The SBASE protein domain library, release 5.0: a collection of annotated protein sequence segments. Nucleic Acids Research. 25(1). 240–243. 18 indexed citations
11.
Murvai, János. (1996). The SBASE protein domain library, Release 4.0: a collection of annotated protein sequence segments. Nucleic Acids Research. 24(1). 210–213. 81 indexed citations
12.
Boldogkői, Zsolt & János Murvai. (1994). A novel explanation for the existence of open reading frames on latency-associated transcripts of alphaherpesviruses. Virus Genes. 9(1). 47–51. 10 indexed citations
13.
Boldogkői, Zsolt, et al.. (1994). Sense antisense DNA strand?. PubMed. 42(2-3). 243–9. 2 indexed citations
14.
Murvai, János, Péter Fábián, Miklós Hollósi, et al.. (1993). Is an amphiphilic region responsible for the haemolytic activity of Bacillus thuringiensis toxin?†. International journal of peptide & protein research. 42(6). 527–532. 9 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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