Hanne Hendrix

867 citations
26 papers · 625 · h-index 14

Impact in

    • Microbial infections and disease research
  • Ecology top 5%
    • Bacteriophages and microbial interactions

Papers in

    • Bacteriophages and microbial interactions 21
    • Bacterial Genetics and Biotechnology 10

Hanne Hendrix

25 papers receiving 620 citations

Peers

Hanne Hendrix
Comparison fields: 5 of 58
  • Microbiology 117
  • Ecology 495
  • Endocrinology 66
  • Molecular Medicine 41
  • Molecular Biology 349
Replace Jesse L. Cahill with:
Jesse L. Cahill United States
Hannah G. Hampton New Zealand
Flavie Pouillot France
Andrei N. Trostel United States
Jessica Sacher Canada
Cristian Aparicio-Maldonado Netherlands
Yunxiu He United States
Jee Soo Son South Korea
Elena A. Pleteneva Russia
Katarzyna Kosznik-Kwaśnicka Poland
Hanne Hendrix relative to Jesse L. Cahill United States Jesse L. Cahill's profile →
Citations per field
00.5×1.5×1.9×
Jesse L. Cahill · 1×
Citations per year

Countries citing papers authored by Hanne Hendrix

Since Specialization
Citations

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

Fields of papers citing papers by Hanne Hendrix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017156
2 201455
3 201646
4 201843
5 201734
6 202033
7 202032
8 202031
9 202227
10 202025
11 201724
12 202024
13 202016
14 202214
15 202312
16 201611
17 201710
18 20239
19 20186
20 20246

About Hanne Hendrix

Hanne Hendrix is a scholar working on Ecology, Genetics, Molecular Biology, Microbiology and Endocrinology, having authored 26 papers that have together received 625 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (21 papers), Genomics and Phylogenetic Studies (10 papers), Bacterial Genetics and Biotechnology (10 papers), Bacterial biofilms and quorum sensing (5 papers), Plant Virus Research Studies (5 papers), RNA and protein synthesis mechanisms (3 papers), Microbial infections and disease research (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Microbiology (117 citations), Ecology (495 citations), Endocrinology (66 citations), Molecular Medicine (41 citations) and Molecular Biology (349 citations). Hanne Hendrix has collaborated with scholars based in Belgium, Germany and Netherlands. Frequent co-authors include Rob Lavigne, Jeroen De Smet, Jean‐Paul Noben, Bob G. Blasdel, Katarzyna M. Danis-Wlodarczyk, Abram Aertsen, Horst Neve, Jeroen Wagemans, Pieter‐Jan Ceyssens and Marleen Voet. Their work appears in journals such as Applied and Environmental Microbiology, Frontiers in Microbiology, Nature Reviews Microbiology, RNA Biology and Viruses.

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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