Mark Hoebeke

1.8k citations
18 papers · 413 · h-index 10

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • Machine Learning in Bioinformatics 2
    • Photosynthetic Processes and Mechanisms 2
    • Protist diversity and phylogeny 2
    • Microbial Community Ecology and Physiology 4

Mark Hoebeke

18 papers receiving 407 citations

Peers

Mark Hoebeke
Comparison fields: 5 of 76
  • Oceanography 90
  • Aquatic Science 47
  • Ecology 127
  • Biotechnology 43
  • Molecular Biology 215
Replace Hugh D. Goold with:
Hugh D. Goold Australia
Wandong Fu China
Winifred M. Johnson United States
Xuecheng Zhang China
Jana Hoffmann Germany
Ulisses dos Santos Pinheiro. Brazil
Gwynneth F. Matcher South Africa
Allan Kamau Saudi Arabia
В. Б. Ицкович Russia
Wenjun Wang China
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Citations per field
00.5×3.6×
Hugh D. Goold · 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

18 of 18 papers shown
#Work
1 2016119
2 201182
3 200646
4 202235
5 201927
6 202218
7 202015
8 202314
9 200312
10 200111
11 20228
12 20067
13 20027
14 20155
15 20144
16
BioWorkFlow: Web Services toolkit and workflow applications evaluation to deploy a confidence network
20081
17
Local Similarities and Clustering of Biological Sequences: New Insights from N-local Decoding
20071
18
3-D analysis of biomarkers and investigation of temporal series by Quant3D, a Linux/UNIX software package
20021

About Mark Hoebeke

Mark Hoebeke is a scholar working on Molecular Biology, Ecology, Genetics, Oceanography and Physiology, having authored 18 papers that have together received 413 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Microbial Community Ecology and Physiology (4 papers), Machine Learning in Bioinformatics (2 papers), Marine and coastal ecosystems (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Chromosomal and Genetic Variations (2 papers), Lysosomal Storage Disorders Research (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Oceanography (90 citations), Aquatic Science (47 citations), Ecology (127 citations), Biotechnology (43 citations) and Molecular Biology (215 citations). Mark Hoebeke has collaborated with scholars based in France, United Kingdom and Morocco. Frequent co-authors include Tristan Barbeyron, Gurvan Michel, Loraine Brillet-Guéguen, Christophe Caron, Wilfrid Carré, Mirjam Czjzek, Franck Picard, Stéphane Robin, Guillem Rigaill and Erwan Corre. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Frontiers in Microbiology, Statistical Applications in Genetics and Molecular Biology and The ISME Journal.

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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