Ronald Jansen

7.5k total citations · 3 hit papers
29 papers, 4.9k citations indexed

About

Ronald Jansen is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Ronald Jansen has authored 29 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Ronald Jansen's work include Bioinformatics and Genomic Networks (12 papers), Gene expression and cancer classification (9 papers) and RNA and protein synthesis mechanisms (6 papers). Ronald Jansen is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Gene expression and cancer classification (9 papers) and RNA and protein synthesis mechanisms (6 papers). Ronald Jansen collaborates with scholars based in United States, Canada and France. Ronald Jansen's co-authors include Mark Gerstein, M Snyder, Dov Greenbaum, Perry L. Miller, Jack Greenblatt, Ning Lan, Haiyuan Yu, Heng Zhu, David A. Hall and Paul Bertone and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Ronald Jansen

28 papers receiving 4.7k citations

Hit Papers

Global Analysis of Protein Activities Using Proteome Chips 2001 2026 2009 2017 2001 2003 2002 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronald Jansen United States 18 4.4k 538 480 475 360 29 4.9k
Philip Bradley United States 34 5.4k 1.2× 650 1.2× 354 0.7× 542 1.1× 176 0.5× 64 6.9k
Jaime Prilusky Israel 25 3.9k 0.9× 291 0.5× 227 0.5× 438 0.9× 156 0.4× 40 5.0k
David E. Kim United States 31 5.5k 1.3× 446 0.8× 365 0.8× 488 1.0× 130 0.4× 58 6.6k
Luisa Castagnoli Italy 41 6.2k 1.4× 630 1.2× 336 0.7× 760 1.6× 329 0.9× 104 7.5k
M. Michael Gromiha India 51 8.4k 1.9× 369 0.7× 482 1.0× 1.1k 2.3× 216 0.6× 339 10.0k
Haribabu Arthanari United States 33 2.8k 0.7× 471 0.9× 627 1.3× 361 0.8× 127 0.4× 117 4.2k
Hahnbeom Park United States 29 5.0k 1.1× 669 1.2× 245 0.5× 654 1.4× 183 0.5× 49 6.1k
Pierre Tufféry France 37 5.8k 1.3× 610 1.1× 325 0.7× 1.5k 3.1× 175 0.5× 113 7.5k
Philip M. Kim Canada 40 6.3k 1.4× 372 0.7× 292 0.6× 641 1.3× 124 0.3× 94 7.6k
Carol A. Rohl United States 28 5.1k 1.2× 273 0.5× 518 1.1× 490 1.0× 69 0.2× 36 5.8k

Countries citing papers authored by Ronald Jansen

Since Specialization
Citations

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

Fields of papers citing papers by Ronald Jansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald Jansen

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald Jansen. A scholar is included among the top collaborators of Ronald Jansen 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 Ronald Jansen. Ronald Jansen 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.
Vilar, José M. G., Ronald Jansen, & Chris Sander. (2006). Signal Processing in the TGF-β Superfamily Ligand-Receptor Network. PLoS Computational Biology. 2(1). e3–e3. 98 indexed citations
2.
Bink, M.C.A.M., Ronald Jansen, & J.M. Sandbrink. (2006). Linkage and QTL mapping in related full sib families : a case study in potato. Socio-Environmental Systems Modeling. 2000(5). 1–13. 1 indexed citations
3.
Vilar, José M. G., Ronald Jansen, & Chris Sander. (2005). Signal processing in the TGF-β superfamily ligand-receptor network. PLoS Computational Biology. preprint(2005). e3–e3.
4.
Jansen, Ronald & Mark Gerstein. (2004). Analyzing protein function on a genomic scale: the importance of gold-standard positives and negatives for network prediction. Current Opinion in Microbiology. 7(5). 535–545. 126 indexed citations
5.
Lin, Nan, Baolin Wu, Ronald Jansen, Mark Gerstein, & Hongyu Zhao. (2004). Information assessment on predicting protein-protein interactions. BMC Bioinformatics. 5(1). 154–154. 120 indexed citations
6.
Jansen, Ronald, Haiyuan Yu, Dov Greenbaum, et al.. (2003). A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data. Science. 302(5644). 449–453. 916 indexed citations breakdown →
7.
Zhu, Heng, Bilgin Metin, Jason Ptacek, et al.. (2003). Workshop I – Global Analysis of Protein Activities Using Protein Chips. Biophysical Journal. 84(5). 3488–3488. 1 indexed citations
8.
Krebs, Werner G., Jerry Tsai, Vadim Alexandrov, et al.. (2003). Tools and Databases to Analyze Protein Flexibility; Approaches to Mapping Implied Features onto Sequences. Methods in enzymology on CD-ROM/Methods in enzymology. 374. 544–584. 14 indexed citations
10.
Jansen, Ronald, Cajo J. F. ter Braak, Chris Maliepaard, & Martin P. Boer. (2002). Discussion of 'A model selection approach for the identification of quantitative trait loci in experimental crosses' by K.W. Broman & T.P. Speed. Journal of the Royal Statistical Society Series A (Statistics in Society). 2002. 751–752. 1 indexed citations
11.
Edwards, A.M., Bart Kus, Ronald Jansen, et al.. (2002). Bridging structural biology and genomics: assessing protein interaction data with known complexes. Trends in Genetics. 18(10). 529–536. 204 indexed citations
12.
Greenbaum, Dov, Ronald Jansen, & Mark Gerstein. (2002). Analysis of mRNA expression and protein abundance data: an approach for the comparison of the enrichment of features in the cellular population of proteins and transcripts. Bioinformatics. 18(4). 585–596. 139 indexed citations
13.
Kumar, Anuj, Seema Agarwal, John A. Heyman, et al.. (2002). Subcellular localization of the yeast proteome. Genes & Development. 16(6). 707–719. 597 indexed citations breakdown →
14.
Mateos, Álvaro, Joaquı́n Dopazo, Ronald Jansen, et al.. (2002). Systematic Learning of Gene Functional Classes From DNA Array Expression Data by Using Multilayer Perceptrons. Genome Research. 12(11). 1703–1715. 94 indexed citations
15.
Jansen, Ronald, Ning Lan, Jiang Qian, & Mark Gerstein. (2002). Integration of genomic datasets to predict protein complexes in yeast. Journal of Structural and Functional Genomics. 2(2). 71–81. 66 indexed citations
16.
Jansen, Ronald, Ken Redekop, & Frans Rutten. (2001). Cost Effectiveness of Continuous Terbinafine Compared with Intermittent Itraconazole in the Treatment of Dermatophyte Toenail Onychomycosis. PharmacoEconomics. 19(4). 401–410. 15 indexed citations
17.
Drawid, Amar, Ronald Jansen, & Mark Gerstein. (2000). Genome-wide analysis relating expression level with protein subcellular localization. Trends in Genetics. 16(10). 426–430. 57 indexed citations
18.
Gerstein, Mark & Ronald Jansen. (2000). The current excitement in bioinformatics—analysis of whole-genome expression data: how does it relate to protein structure and function?. Current Opinion in Structural Biology. 10(5). 574–584. 59 indexed citations
19.
Jansen, Ronald. (2000). Analysis of the yeast transcriptome with structural and functional categories: characterizing highly expressed proteins. Nucleic Acids Research. 28(6). 1481–1488. 97 indexed citations
20.
Ross‐Macdonald, Petra, Paulo S. R. Coelho, Terry Roemer, et al.. (1999). Large-scale analysis of the yeast genome by transposon tagging and gene disruption. Nature. 402(6760). 413–418. 409 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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