Han Remaut

7.2k citations
95 papers · 4.8k · h-index 40

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 12
    • Biochemical and Structural Characterization 9
    • RNA and protein synthesis mechanisms 9
    • Bacterial Genetics and Biotechnology 36

Han Remaut

92 papers receiving 4.7k citations

Peers

Han Remaut
Comparison fields: 5 of 130
  • Endocrinology 945
  • Molecular Medicine 383
  • Structural Biology 62
  • Molecular Biology 2.7k
  • Genetics 1.0k
Replace Frederick M. Hughson with:
Frederick M. Hughson United States
Wilbert Bitter Netherlands
Axel Mogk Germany
Tone Tønjum Norway
Teru Ogura Japan
Linda J. Kenney United States
Kelly T. Hughes United States
Maria A. Schumacher United States
Cezar M. Khursigara Canada
Matthew R. Chapman United States
Han Remaut relative to Frederick M. Hughson United States Frederick M. Hughson's profile →
Citations per field
00.5×3.1×
Frederick M. Hughson · 1×
Citations per year

Countries citing papers authored by Han Remaut

Since Specialization
Citations

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

Fields of papers citing papers by Han Remaut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014233
2 2017225
3 2006224
4 2019216
5 2008166
6 2006161
7 2004158
8 2006149
9 2015141
10 2011137
11 2018134
12 2013131
13 2012129
14 2008125
15 2012100
16 2020100
17 202190
18 201187
19 201283
20 201276

About Han Remaut

Han Remaut is a scholar working on Molecular Biology, Genetics, Ecology, Endocrinology and Materials Chemistry, having authored 95 papers that have together received 4.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (36 papers), Bacteriophages and microbial interactions (19 papers), Escherichia coli research studies (15 papers), Enzyme Structure and Function (12 papers), Bacterial biofilms and quorum sensing (12 papers), Helicobacter pylori-related gastroenterology studies (10 papers), Biochemical and Structural Characterization (9 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Endocrinology (945 citations), Molecular Medicine (383 citations), Structural Biology (62 citations), Molecular Biology (2.7k citations) and Genetics (1.0k citations). Han Remaut has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Gabriel Waksman, Scott J. Hultgren, Nani Van Gerven, Rémi Fronzes, Jerome S. Pinkner, Kristof Moonens, Sander E. Van der Verren, Roger D. Klein, Els Pardon and Wim Jonckheere. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Nature, The EMBO Journal and Molecular Microbiology.

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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