Bram Van den Bergh

2.6k citations
29 papers · 1.8k indexed · 1 hit paper · h-index 16
Topics
Bacterial Genetics and Biotechnology (13 papers)Evolution and Genetic Dynamics (13 papers)Antibiotic Resistance in Bacteria (11 papers)

In The Last Decade

Bram Van den Bergh

29 papers receiving 1.8k citations

Hit Papers

Bacterial persistence promotes the evolution of antibioti...2019202620212023201950100150200

Peers

Bram Van den Bergh
Comparison fields: 5 of 102
  • Molecular Biology 963
  • Genetics 819
  • Molecular Medicine 679
  • Endocrinology 351
  • Ecology 277
Replace Line Elnif Thomsen with:
Line Elnif Thomsen Denmark
Ofer Fridman Israel
Tobias Dörr United States
Brian W. Kwan United States
Gemma C. Atkinson Sweden
Ji Yang Australia
Sandra Da Re France
Joran Michiels Belgium
Emeline Bouffartigues France
Hemantha D. Kulasekara United States
Bram Van den Bergh relative to Line Elnif Thomsen Denmark Line Elnif Thomsen's profile →
Citations per field
00.5×1.5×2.4×
Line Elnif Thomsen · 1×
Citations per year

Countries citing papers authored by Bram Van den Bergh

Since Specialization
Citations

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

Fields of papers citing papers by Bram Van den Bergh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bram Van den Bergh. 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 Bram Van den Bergh. The network helps show where Bram Van den Bergh may publish in the future.

Co-authorship network of co-authors of Bram Van den Bergh

This figure shows the co-authorship network connecting the top 25 collaborators of Bram Van den Bergh. A scholar is included among the top collaborators of Bram Van den Bergh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bram Van den Bergh. Bram Van den Bergh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 7
3 8
4 29
5 21
6 41
7 1
8 12
9 52
10
Bacterial persistence promotes the evolution of antibiotic resistance by increasing survival and mutation ratesbreakdown →
248
11 30
12 13
13 280
14 7
15 198
16 131
17 5
18 233
19 7
20 38

About Bram Van den Bergh

Bram Van den Bergh is a scholar working on Molecular Medicine, Endocrinology and Genetics, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Evolution and Genetic Dynamics (13 papers) and Antibiotic Resistance in Bacteria (11 papers). The work is most often cited by research in Molecular Medicine (679 citations), Endocrinology (351 citations) and Genetics (819 citations). Bram Van den Bergh has collaborated with scholars based in Belgium, United States and Switzerland. Frequent co-authors include Jan Michiels, Maarten Fauvart, Joran Michiels, Etthel M. Windels, Natalie Verstraeten, Tom Wenseleers, Toon Swings, Kevin J. Verstrepen, Luc De Meester and Kathleen Marchal. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.

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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