Bruno Dombrecht

3.3k total citations · 1 hit paper
27 papers, 2.3k citations indexed

About

Bruno Dombrecht is a scholar working on Plant Science, Molecular Biology and Pollution. According to data from OpenAlex, Bruno Dombrecht has authored 27 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 7 papers in Molecular Biology and 4 papers in Pollution. Recurrent topics in Bruno Dombrecht's work include Legume Nitrogen Fixing Symbiosis (14 papers), Plant nutrient uptake and metabolism (9 papers) and Wastewater Treatment and Nitrogen Removal (4 papers). Bruno Dombrecht is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (14 papers), Plant nutrient uptake and metabolism (9 papers) and Wastewater Treatment and Nitrogen Removal (4 papers). Bruno Dombrecht collaborates with scholars based in Belgium, Cuba and Australia. Bruno Dombrecht's co-authors include John M. Manners, Kemal Kazan, Peer M. Schenk, Jan Michiels, Gang Xue, S. J. Sprague, John A. Kirkegaard, G. P. Fitt, John J. Ross and James B. Reid and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Plant Cell.

In The Last Decade

Bruno Dombrecht

26 papers receiving 2.3k citations

Hit Papers

MYC2 Differentially Modulates Diverse Jasmonate-Dependent... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Dombrecht Belgium 16 1.9k 908 405 133 123 27 2.3k
Jonathan P. Anderson Australia 26 3.6k 1.9× 1.3k 1.4× 643 1.6× 445 3.3× 163 1.3× 39 4.1k
David J. Bertioli Brazil 40 4.0k 2.2× 1.4k 1.5× 169 0.4× 102 0.8× 120 1.0× 122 4.5k
Eric T. Johnson United States 20 638 0.3× 764 0.8× 165 0.4× 80 0.6× 51 0.4× 66 1.3k
Roberto Ruíz‐Medrano Mexico 22 1.7k 0.9× 935 1.0× 157 0.4× 95 0.7× 48 0.4× 80 2.2k
J. Leemans Belgium 25 3.6k 1.9× 4.1k 4.5× 254 0.6× 77 0.6× 75 0.6× 46 5.0k
Xinbo Chen China 27 1.9k 1.0× 1.1k 1.2× 116 0.3× 47 0.4× 60 0.5× 72 2.3k
T. Erik Mirkov United States 30 2.3k 1.2× 1.3k 1.4× 460 1.1× 65 0.5× 18 0.1× 72 2.7k
Mark Tepfer France 25 2.0k 1.1× 1.2k 1.3× 224 0.6× 33 0.2× 33 0.3× 67 2.3k
Florian M. W. Grundler Germany 40 4.7k 2.5× 1.2k 1.3× 554 1.4× 248 1.9× 276 2.2× 135 5.2k
Beatriz Xoconostle‐Cázares Mexico 29 3.1k 1.7× 1.6k 1.7× 292 0.7× 134 1.0× 63 0.5× 104 3.7k

Countries citing papers authored by Bruno Dombrecht

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Dombrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Dombrecht

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Dombrecht. A scholar is included among the top collaborators of Bruno Dombrecht 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 Bruno Dombrecht. Bruno Dombrecht 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.
Roose, Heleen, Elizabeth Allen, Helena Van Damme, et al.. (2021). Abstract 1732: Investigation of the best therapeutic approach to target CCR8 expressed on tumor regulatory T cells to boost anti-tumor immune responses. Cancer Research. 81(13_Supplement). 1732–1732. 1 indexed citations
2.
Deschaght, Pieter, Marc Logghe, Miguel Á. Conde, et al.. (2017). Large Diversity of Functional Nanobodies from a Camelid Immune Library Revealed by an Alternative Analysis of Next-Generation Sequencing Data. Frontiers in Immunology. 8. 420–420. 20 indexed citations
3.
Detalle, Laurent, Melanie Rieger, Tom Verhaeghe, et al.. (2016). High Throughput Combinatorial Formatting of PcrV Nanobodies for Efficient Potency Improvement. Journal of Biological Chemistry. 291(29). 15243–15255. 25 indexed citations
4.
Nápoles, María C., et al.. (2014). Nod factor detection in B. elkanii ICA 8001. Culture medium influence. Cultivos Tropicales. 35(1). 92–99. 1 indexed citations
5.
Nápoles, María C., Juan Carlos Cabrera, Ellen Luyten, et al.. (2014). DETECCIÓN DE FACTORES NOD EN. B. elkanii ICA 8001. INFLUENCIA DEL MEDIO DE CULTIVO. SHILAP Revista de lepidopterología. 35(1). 92–99. 1 indexed citations
6.
Dombrecht, Bruno, Jordan R. Willis, Klaas Van Den Heede, et al.. (2014). Potent and Efficacious Inhibition of CXCR2 Signaling by Biparatopic Nanobodies Combining Two Distinct Modes of Action. Molecular Pharmacology. 87(2). 251–262. 61 indexed citations
7.
Kidd, Brendan N., Narendra Y. Kadoo, Bruno Dombrecht, et al.. (2011). Auxin Signaling and Transport Promote Susceptibility to the Root-Infecting Fungal Pathogen Fusarium oxysporum in Arabidopsis. Molecular Plant-Microbe Interactions. 24(6). 733–748. 126 indexed citations
9.
Dombrecht, Bruno, et al.. (2006). Improved resistance to Fusarium wilt through genetic engineering of defence signalling pathways.. 388–398. 3 indexed citations
10.
Edgar, Claudia, Ken McGrath, Bruno Dombrecht, et al.. (2006). Salicylic acid mediates resistance to the vascular wilt pathogenFusarium oxysporumin the model hostArabidopsis thaliana. Australasian Plant Pathology. 35(6). 581–581. 86 indexed citations
11.
Nápoles, María C., et al.. (2005). Growth Media Modulating the Symbiotic Efficiency of Bradyrhizobium elkanii. Symbiosis. 38(1). 87–98. 3 indexed citations
12.
Dombrecht, Bruno, Serge Beullens, Christel Verreth, et al.. (2005). Defence of Rhizobium etli bacteroids against oxidative stress involves a complexly regulated atypical 2‐Cys peroxiredoxin. Molecular Microbiology. 55(4). 1207–1221. 56 indexed citations
14.
Nápoles, María C., Ellen Luyten, Bruno Dombrecht, & Jozef Vanderleyden. (2003). Bradyrhizobium elkanii ICA 8001 GUS A: A NEW STRAIN TO EVALUATE NODULATION GENE EXPRESSION. SHILAP Revista de lepidopterología. 24(3). 33–37. 1 indexed citations
15.
Dombrecht, Bruno, et al.. (2002). The Rhizobium etli gene iscN is highly expressed in bacteroids and required for nitrogen fixation. Molecular Genetics and Genomics. 267(6). 820–828. 26 indexed citations
16.
Dombrecht, Bruno, Kathleen Marchal, Jos Vanderleyden, & Jan Michiels. (2002). Prediction and overview of the RpoN-regulon in closely related species of the Rhizobiales. Genome biology. 3(12). RESEARCH0076–RESEARCH0076. 63 indexed citations
17.
Luyten, Ellen, et al.. (2001). Analysis of a Symbiosis-Specific Cytochrome P450 Homolog in Rhizobium sp. BR816. Molecular Plant-Microbe Interactions. 14(7). 918–924. 4 indexed citations
18.
Dombrecht, Bruno, Jos Vanderleyden, & Jan Michiels. (2001). Stable RK2-Derived Cloning Vectors for the Analysis of Gene Expression and Gene Function in Gram-Negative Bacteria. Molecular Plant-Microbe Interactions. 14(3). 426–430. 108 indexed citations
19.
Michiels, Jan, et al.. (1998). Phaseolus vulgaris is a non-selective host for nodulation. FEMS Microbiology Ecology. 26(3). 193–205. 114 indexed citations
20.
Michiels, Jan, et al.. (1998). Phaseolus vulgaris is a non-selective host for nodulation (vol 26, pg 193, 1998). 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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