Annelies Bogaerts

611 total citations
17 papers, 496 citations indexed

About

Annelies Bogaerts is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, Annelies Bogaerts has authored 17 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Aging. Recurrent topics in Annelies Bogaerts's work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Mesenchymal stem cell research (4 papers) and Insect and Pesticide Research (4 papers). Annelies Bogaerts is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (5 papers), Mesenchymal stem cell research (4 papers) and Insect and Pesticide Research (4 papers). Annelies Bogaerts collaborates with scholars based in Belgium, United States and Switzerland. Annelies Bogaerts's co-authors include Liliane Schoofs, Peter Verleyen, Bart Boerjan, Liesbet Temmerman, Evy Vierstraete, Jason A. Hamilton, Dries Cardoen, Robert W. Mays, Isabel Beets and Bart Landuyt and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Annelies Bogaerts

17 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annelies Bogaerts Belgium 12 188 123 107 90 73 17 496
Rachel McMullan United Kingdom 10 258 1.4× 72 0.6× 32 0.3× 43 0.5× 8 0.1× 20 564
Elizabeth E. Marr United States 8 241 1.3× 138 1.1× 58 0.5× 306 3.4× 7 0.1× 10 561
Yukako Hattori Japan 10 168 0.9× 44 0.4× 41 0.4× 192 2.1× 13 0.2× 34 446
Isabela Ramos Brazil 19 444 2.4× 110 0.9× 288 2.7× 155 1.7× 74 1.0× 55 961
Shuang Guo China 14 198 1.1× 99 0.8× 104 1.0× 170 1.9× 6 0.1× 29 553
Matthew McNeill United States 11 814 4.3× 249 2.0× 53 0.5× 49 0.5× 43 0.6× 16 1.0k
Thomas S. Carroll United States 17 606 3.2× 123 1.0× 39 0.4× 137 1.5× 15 0.2× 30 1.1k
M. Rubio Spain 13 194 1.0× 118 1.0× 76 0.7× 63 0.7× 5 0.1× 35 502
Hiroyuki Kose Japan 12 221 1.2× 152 1.2× 88 0.8× 137 1.5× 9 0.1× 48 548
Jean‐Philippe Boquete Switzerland 10 260 1.4× 82 0.7× 386 3.6× 258 2.9× 9 0.1× 11 844

Countries citing papers authored by Annelies Bogaerts

Since Specialization
Citations

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

Fields of papers citing papers by Annelies Bogaerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annelies Bogaerts

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

All Works

17 of 17 papers shown
1.
Yang, Bing, Jason A. Hamilton, Annelies Bogaerts, et al.. (2017). Multipotent Adult Progenitor Cells Enhance Recovery After Stroke by Modulating the Immune Response from the Spleen. Stem Cells. 35(5). 1290–1302. 62 indexed citations
2.
DePaul, Marc A., Bradley T. Lang, Rochelle Cutrone, et al.. (2015). Intravenous multipotent adult progenitor cell treatment decreases inflammation leading to functional recovery following spinal cord injury. Scientific Reports. 5(1). 16795–16795. 54 indexed citations
3.
Burrows, Gregory G., Wouter Van’t Hof, Ashok P. Reddy, et al.. (2015). Solution-Phase Crosstalk and Regulatory Interactions Between Multipotent Adult Progenitor Cells and Peripheral Blood Mononuclear Cells. Stem Cells Translational Medicine. 4(12). 1436–1449. 6 indexed citations
4.
Burrows, Gregory G., Wouter Van’t Hof, Laura F. Newell, et al.. (2013). Dissection of the Human Multipotent Adult Progenitor Cell Secretome by Proteomic Analysis. Stem Cells Translational Medicine. 2(10). 745–757. 25 indexed citations
5.
Maziarz, Richard T., Laura F. Newell, Annelies Bogaerts, et al.. (2013). Dissection of the Human Multipotent Adult Progenitor Cell (MAPC) Secretome by Proteomic Analysis. Biology of Blood and Marrow Transplantation. 19(2). S350–S351. 1 indexed citations
6.
Cardoen, Dries, Uli Ernst, Bart Boerjan, et al.. (2012). Worker Honeybee Sterility: A Proteomic Analysis of Suppressed Ovary Activation. Journal of Proteome Research. 11(5). 2838–2850. 25 indexed citations
7.
Wei, Qing, Saeed Tarighi, Andreas Dötsch, et al.. (2011). Phenotypic and Genome-Wide Analysis of an Antibiotic-Resistant Small Colony Variant (SCV) of Pseudomonas. PLoS ONE. 6. 4 indexed citations
8.
Temmerman, Liesbet, Ellen Meelkop, Tom Janssen, et al.. (2011). C. elegans homologs of insect clock proteins: a tale of many stories. Annals of the New York Academy of Sciences. 1220(1). 137–148. 15 indexed citations
9.
Wei, Qing, Saeed Tarighi, Andreas Dötsch, et al.. (2011). Phenotypic and Genome-Wide Analysis of an Antibiotic-Resistant Small Colony Variant (SCV) of Pseudomonas aeruginosa. PLoS ONE. 6(12). e29276–e29276. 104 indexed citations
10.
Bogaerts, Annelies, Isabel Beets, Liliane Schoofs, & Peter Verleyen. (2010). Antimicrobial peptides in Caenorhabditis elegans. SHILAP Revista de lepidopterología. 14 indexed citations
11.
Bogaerts, Annelies, Isabel Beets, Liesbet Temmerman, Liliane Schoofs, & Peter Verleyen. (2010). Proteome changes of Caenorhabditis elegans upon a Staphylococcus aureus infection. Biology Direct. 5(1). 11–11. 35 indexed citations
12.
Bogaerts, Annelies, Liesbet Temmerman, Bart Boerjan, et al.. (2010). A differential proteomics study of Caenorhabditis elegans infected with Aeromonas hydrophila. Developmental & Comparative Immunology. 34(6). 690–698. 34 indexed citations
13.
Bogaerts, Annelies, Tom Van Loy, Steven Husson, et al.. (2009). Unraveling the protective effect of a Drosophila phosphatidylethanolamine-binding protein upon bacterial infection by means of proteomics. Developmental & Comparative Immunology. 33(11). 1186–1195. 23 indexed citations
14.
Bogaerts, Annelies, Geert Baggerman, Evy Vierstraete, Liliane Schoofs, & Peter Verleyen. (2009). The hemolymph proteome of the honeybee: Gel‐based or gel‐free?. PROTEOMICS. 9(11). 3201–3208. 33 indexed citations
15.
Boerjan, Bart, Dries Cardoen, Annelies Bogaerts, et al.. (2009). Mass spectrometric profiling of (neuro)-peptides in the worker honeybee, Apis mellifera. Neuropharmacology. 58(1). 248–258. 58 indexed citations
16.
Lindemans, Marleen, Feng Liu, Tom Janssen, et al.. (2008). Adipokinetic hormone signaling through the gonadotropin-releasing hormone receptor modulates egg laying behavior in C. elegans. 2 indexed citations
17.
Bogaerts, Annelies, Evy Vierstraete, Peter Verleyen, Geert Baggerman, & Liliane Schoofs. (2006). Gel-based and gel-free proteomics of honeybee hemolymph. 1 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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