Tom Boonefaes

820 citations
10 papers · 714 · h-index 7

Impact in

    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Plant Stress Responses and Tolerance
    • Plant-Microbe Interactions and Immunity
    • Plant responses to water stress

Papers in

    • Plant Gene Expression Analysis 1
    • Gene expression and cancer classification 1
    • Mitochondrial Function and Pathology 1
    • Polyomavirus and related diseases 2

Tom Boonefaes

10 papers receiving 695 citations

Peers

Tom Boonefaes
Comparison fields: 5 of 84
  • Immunology 198
  • Plant Science 252
  • Virology 24
  • Parasitology 27
  • Molecular Biology 273
Replace Eva Růčková with:
Eva Růčková Czechia
Chunmei Cai China
Helga Kahlert Germany
Philipp Hubel Germany
Yuefang Ma Australia
Huilan Yu China
Yunfeng Liu China
Jianqing Zhao China
Nisha Philip United Kingdom
Tom Boonefaes relative to Eva Růčková Czechia Eva Růčková's profile →
Citations per field
00.5×2×3.2×
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

10 of 10 papers shown
#Work
1 2003293
2 2004212
3 200654
4 200453
5 201046
6 200032
7 201220
8
A comprehensive analysis of gene expression during H2O2 induced cell death in tobacco
20032
9 20111
10 20031

About Tom Boonefaes

Tom Boonefaes is a scholar working on Molecular Biology, Oncology, Plant Science, Ecology and Immunology, having authored 10 papers that have together received 714 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (2 papers), Immune Cell Function and Interaction (2 papers), Bacteriophages and microbial interactions (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) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (198 citations), Plant Science (252 citations), Virology (24 citations), Parasitology (27 citations) and Molecular Biology (273 citations). Tom Boonefaes has collaborated with scholars based in Belgium, Australia and Germany. Frequent co-authors include Johan Grooten, Pieter Rottiers, Frank Van Breusegem, Marc Zabeau, James F. Dat, Dirk Inzé, Steven Vandenabeele, Katrien Van Der Kelen, Ilya Gadjev and Marc Van Montagu. Their work appears in journals such as Retrovirology, Oncogene, Journal of Leukocyte Biology, American Journal of Respiratory and Critical Care Medicine and Proceedings of the National Academy of Sciences.

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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