Tom Boonefaes

820 citations
9 papers · 663 · h-index 7

Impact in

    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Plant Stress Responses and Tolerance
    • Plant-Microbe Interactions and Immunity

Papers in

    • Plant Gene Expression Analysis 1
    • Gene expression and cancer classification 1
    • Mitochondrial Function and Pathology 1
    • Cell death mechanisms and regulation 1
    • Polyomavirus and related diseases 1

Tom Boonefaes

9 papers receiving 653 citations

Peers

Tom Boonefaes
Comparison fields: 5 of 82
  • Immunology 188
  • Plant Science 224
  • Virology 24
  • Parasitology 24
  • Molecular Biology 250
Replace Eva Růčková with:
Eva Růčková Czechia
Leonor E. Rovai Argentina
Chunmei Cai China
Helga Kahlert Germany
Christine B. Pearson United States
Philipp Hubel Germany
Yuefang Ma Australia
Huilan Yu China
Elizabeth K. K. Glennon United States
Jianqing Zhao China
Tom Boonefaes relative to Eva Růčková Czechia Eva Růčková's profile →
Citations per field
00.5×2.9×
Eva Růčková · 1×
Citations per year

Countries citing papers authored by Tom Boonefaes

Since Specialization
Citations

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

Fields of papers citing papers by Tom Boonefaes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tom Boonefaes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom Boonefaes Line = papers co-authored together Tom Boonefaes links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2003261
2 2004202
3 200451
4 200650
5 201046
6 200030
7 201220
8
A comprehensive analysis of gene expression during H2O2 induced cell death in tobacco
20032
9 20111

About Tom Boonefaes

Tom Boonefaes is a scholar working on Molecular Biology, Oncology, Immunology, Plant Science and Ecology, having authored 9 papers that have together received 663 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (2 papers), Galectins and Cancer Biology (1 paper), Plant Gene Expression Analysis (1 paper), Gene expression and cancer classification (1 paper), Mitochondrial Function and Pathology (1 paper), T-cell and B-cell Immunology (1 paper), Cell death mechanisms and regulation (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Immunology (188 citations), Plant Science (224 citations), Virology (24 citations), Parasitology (24 citations) and Molecular Biology (250 citations). Tom Boonefaes has collaborated with scholars based in Belgium, Germany and South Africa. Frequent co-authors include Johan Grooten, Pieter Rottiers, Patrick De Baetselier, Dirk Inzé, Steven Vandenabeele, Luit Slooten, Ilya Gadjev, Katrien Van Der Kelen, James F. Dat and Frank Van Breusegem. Their work appears in journals such as Journal of Leukocyte Biology, BMC Biotechnology, American Journal of Respiratory and Critical Care Medicine, Journal of Biological Chemistry and Retrovirology.

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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