Mark Hoebeke

1.8k citations
25 papers · 1.4k · 1 hit paper · h-index 14

Impact in

  • Genetics top 5%
    • Bacterial Genetics and Biotechnology
    • Enzyme Production and Characterization

Papers in

    • Genomics and Phylogenetic Studies 11
    • Protist diversity and phylogeny 3
    • Photosynthetic Processes and Mechanisms 2
    • Microbial Community Ecology and Physiology 5

Mark Hoebeke

25 papers receiving 1.3k citations

Mark Hoebeke's Hit Papers

Condition-Dependent Transcriptome Reveals High-Level Regulatory Architecture in Bacillus subtilis 2012 · 727 citations
7270+4+9Years since publication200400600

Peers

Mark Hoebeke
Comparison fields: 5 of 83
  • Genetics 622
  • Biotechnology 85
  • Molecular Biology 540
  • Ecology 186
  • Oceanography 85
Replace Fernando Dini with:
Fernando Dini Italy
Florian Knaust Germany
Martina Blümel Germany
Didier Flament France
John T. Singer United States
Yunxiang Mao China
Yongquan Su China
Edmund J. Stellwag United States
Patrick Videau United States
Mark Hoebeke relative to Fernando Dini Italy Fernando Dini's profile →
Citations per field
00.5×5×10×15×20×22.5×
Fernando Dini · 1×
Citations per year

Countries citing papers authored by Mark Hoebeke

Since Specialization
Citations

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

Fields of papers citing papers by Mark Hoebeke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Hoebeke, 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 Mark Hoebeke Line = papers co-authored together Mark Hoebeke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Condition-Dependent Transcriptome Reveals High-Level Regulatory Architecture in Bacillus subtilis
Hit paper breakdown →
2012727
2 2016132
3 201192
4 202249
5 200646
6 202043
7 202042
8 201932
9 202232
10 202226
11 202321
12 202019
13 200315
14 201115
15 200113
16 20069
17 20228
18 20147
19 20157
20 19996

About Mark Hoebeke

Mark Hoebeke is a scholar working on Molecular Biology, Ecology, Genetics, Oceanography and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Microbial Community Ecology and Physiology (5 papers), Medical Image Segmentation Techniques (3 papers), Protist diversity and phylogeny (3 papers), Algorithms and Data Compression (2 papers), Marine and coastal ecosystems (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Genetics (622 citations), Biotechnology (85 citations), Molecular Biology (540 citations), Ecology (186 citations) and Oceanography (85 citations). Mark Hoebeke has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Tristan Barbeyron, Gurvan Michel, Loraine Brillet-Guéguen, Christophe Caron, Wilfrid Carré, Mirjam Czjzek, Guillem J. Rigaill, Stephane S. Robin, Franck Picard and Erwan Corre. Their work appears in journals such as Frontiers in Microbiology, Bioinformatics, Nucleic Acids Research, BMC Bioinformatics and International Journal of Computer Vision.

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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