Michiel Noback

4.1k total citations
11 papers, 295 citations indexed

About

Michiel Noback is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Michiel Noback has authored 11 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 4 papers in Ecology. Recurrent topics in Michiel Noback's work include Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (4 papers) and Peptidase Inhibition and Analysis (2 papers). Michiel Noback is often cited by papers focused on Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (4 papers) and Peptidase Inhibition and Analysis (2 papers). Michiel Noback collaborates with scholars based in Netherlands, Japan and United States. Michiel Noback's co-authors include Sierd Bron, Gerard Venema, Harold Tjalsma, Kunio Yamane, Jan Maarten van Dijl, Madan Paidhungat, Irina Bagyan, Hendrikus Boddeke, Bart J. L. Eggen and Nieske Brouwer and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Microbiology and Gene.

In The Last Decade

Michiel Noback

11 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michiel Noback Netherlands 6 181 138 80 38 36 11 295
Luis Serrano Germany 11 318 1.8× 111 0.8× 47 0.6× 12 0.3× 9 0.3× 18 438
Mariam Brenneis Germany 7 347 1.9× 110 0.8× 85 1.1× 6 0.2× 21 0.6× 7 390
E E Lahue United States 8 225 1.2× 127 0.9× 32 0.4× 6 0.2× 11 0.3× 8 336
Solange Soulier France 19 646 3.6× 434 3.1× 21 0.3× 111 2.9× 41 1.1× 32 910
Marko Premzl Croatia 10 372 2.1× 46 0.3× 37 0.5× 153 4.0× 7 0.2× 25 445
John Wallis United States 5 320 1.8× 201 1.5× 25 0.3× 13 0.3× 10 0.3× 5 468
David J. Crowley United States 11 420 2.3× 190 1.4× 74 0.9× 5 0.1× 16 0.4× 12 503
Jennifer Apodaca United States 8 298 1.6× 55 0.4× 22 0.3× 8 0.2× 16 0.4× 11 412
Gordon McGurk United Kingdom 7 432 2.4× 74 0.5× 23 0.3× 5 0.1× 12 0.3× 7 519
J Ferguson United States 9 435 2.4× 91 0.7× 70 0.9× 3 0.1× 21 0.6× 17 580

Countries citing papers authored by Michiel Noback

Since Specialization
Citations

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

Fields of papers citing papers by Michiel Noback

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michiel Noback

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

All Works

11 of 11 papers shown
1.
Vainchtein, Ilia D., et al.. (2015). Glia Open Access Database (GOAD): A comprehensive gene expression encyclopedia of glia cells in health and disease. Data Archiving and Networked Services (DANS). 1 indexed citations
2.
Holtman, Inge R., Michiel Noback, Nieske Brouwer, et al.. (2015). Glia Open Access Database (GOAD): A comprehensive gene expression encyclopedia of glia cells in health and disease. Glia. 63(9). 1495–1506. 45 indexed citations
3.
Warris, Sven, et al.. (2014). Fast selection of miRNA candidates based on large-scale pre-computed MFE sets of randomized sequences. BMC Research Notes. 7(1). 34–34. 7 indexed citations
4.
Noback, Michiel, Siger Holsappel, Rense Kiewiet, et al.. (1998). The 172 kb prkA-addAB region from 83° to 97° of the Bacillus subtilis chromosome contains several dysfunctional genes, the glyB marker, many genes encoding transporter proteins, and the ubiquitous hit gene. Data Archiving and Networked Services (DANS). 1 indexed citations
5.
Bagyan, Irina, et al.. (1998). Characterization of yhcN, a new forespore-specific gene of Bacillus subtilis. Gene. 212(2). 179–188. 71 indexed citations
6.
7.
Tjalsma, Harold, Michiel Noback, Sierd Bron, et al.. (1997). Bacillus subtilis Contains Four Closely Related Type I Signal Peptidases with Overlapping Substrate Specificities. Journal of Biological Chemistry. 272(41). 25983–25992. 104 indexed citations
8.
Tjalsma, Harold, Albert Bolhuis, Sierd Bron, et al.. (1997). Proteolysis in Cell Functions. 38 indexed citations
9.
Tjalsma, Harold, Albert Bolhuis, Sierd Bron, et al.. (1997). Type I signal peptidases of Bacillus subtilis. University of Groningen research database (University of Groningen / Centre for Information Technology). 268–275. 1 indexed citations
10.
11.
Noback, Michiel, P. Terpstra, Siger Holsappel, Gerard Venema, & Sierd Bron. (1996). A 22 kb DNA sequence in the cspB-glpPFKD region at 75  on the Bacillus subtilis chromosome. Microbiology. 142(11). 3021–3026. 5 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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