Lore Cloots

421 total citations
10 papers, 310 citations indexed

About

Lore Cloots is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Lore Cloots has authored 10 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Ecology and 4 papers in Plant Science. Recurrent topics in Lore Cloots's work include Bioinformatics and Genomic Networks (5 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Lore Cloots is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Lore Cloots collaborates with scholars based in Belgium, Ireland and Canada. Lore Cloots's co-authors include Kathleen Marchal, Kristof Engelen, Jan Michiels, Maarten Fauvart, Dries De Maeyer, Serge Beullens, Sandra Van Puyvelde, Stijn Spaepen, Jos Vanderleyden and Kristien Braeken and has published in prestigious journals such as Bioinformatics, Molecular Microbiology and Genome biology.

In The Last Decade

Lore Cloots

10 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lore Cloots Belgium	8	176	148	44	44	32	10	310
Shelly Hen‐Avivi Israel	8	194 1.1×	209 1.4×	23 0.5×	29 0.7×	33 1.0×	10	426
Stacy Charlton Canada	7	245 1.4×	130 0.9×	47 1.1×	88 2.0×	12 0.4×	7	332
Ferenc Marincs Hungary	11	212 1.2×	136 0.9×	27 0.6×	101 2.3×	27 0.8×	22	385
Ahmed Hussien Egypt	8	83 0.5×	297 2.0×	55 1.3×	59 1.3×	31 1.0×	15	353
Haidong Yi United States	6	275 1.6×	90 0.6×	116 2.6×	24 0.5×	46 1.4×	14	416
Matthew B. Biggs United States	9	309 1.8×	72 0.5×	52 1.2×	33 0.8×	34 1.1×	11	434
Scott M. Lohrke United States	13	130 0.7×	442 3.0×	39 0.9×	23 0.5×	12 0.4×	19	581
Cécile Petit France	8	169 1.0×	152 1.0×	21 0.5×	18 0.4×	13 0.4×	11	314
Yanping Tan China	9	245 1.4×	248 1.7×	14 0.3×	69 1.6×	78 2.4×	32	481
Anupama Yadav India	10	112 0.6×	38 0.3×	17 0.4×	57 1.3×	85 2.7×	35	256

Countries citing papers authored by Lore Cloots

Since Specialization

Citations

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

Fields of papers citing papers by Lore Cloots

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lore Cloots

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

All Works

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10 of 10 papers shown

Maeyer, Dries De, et al.. (2013). PheNetic: network-based interpretation of unstructured gene lists in E. coli. Molecular BioSystems. 9(7). 1594–1603. 22 indexed citations

Sánchez‐Rodríguez, Aminael, Lore Cloots, & Kathleen Marchal. (2013). Omics Derived Networks in Bacteria. Current Bioinformatics. 8(4). 489–495. 2 indexed citations

Verbeke, Lieven P. C., Lore Cloots, Piet Demeester, Jan Fostier, & Kathleen Marchal. (2013). EPSILON: an eQTL prioritization framework using similarity measures derived from local networks. Bioinformatics. 29(10). 1308–1316. 7 indexed citations

Voordeckers, Karin, Dries De Maeyer, Elisa van der Zande, et al.. (2012). Identification of a complex genetic network underlying Saccharomyces cerevisiae colony morphology. Molecular Microbiology. 86(1). 225–239. 62 indexed citations

Zhao, Hui, Lore Cloots, Tim Van den Bulcke, et al.. (2011). Query-based biclustering of gene expression data using Probabilistic Relational Models. BMC Bioinformatics. 12(S1). S37–S37. 14 indexed citations

Cloots, Lore & Kathleen Marchal. (2011). Network-based functional modeling of genomics, transcriptomics and metabolism in bacteria. Current Opinion in Microbiology. 14(5). 599–607. 19 indexed citations

Fauvart, Maarten, Serge Beullens, Kristien Braeken, et al.. (2011). A Comparative Transcriptome Analysis of Rhizobium etli Bacteroids: Specific Gene Expression During Symbiotic Nongrowth. Molecular Plant-Microbe Interactions. 24(12). 1553–1561. 23 indexed citations

Puyvelde, Sandra Van, Lore Cloots, Kristof Engelen, et al.. (2011). Transcriptome Analysis of the Rhizosphere Bacterium Azospirillum brasilense Reveals an Extensive Auxin Response. Microbial Ecology. 61(4). 723–728. 65 indexed citations

Vercruysse, Maarten, Maarten Fauvart, Serge Beullens, et al.. (2011). Stress response regulators identified through genome-wide transcriptome analysis of the (p)ppGpp-dependent response in Rhizobium etli. Genome biology. 12(2). R17–R17. 57 indexed citations

10.

Fauvart, Maarten, Lore Cloots, Kristof Engelen, et al.. (2010). Genome-wide detection of predicted non-coding RNAs in Rhizobium etli expressed during free-living and host-associated growth using a high-resolution tiling array. BMC Genomics. 11(1). 53–53. 39 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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