Johan Bengtsson‐Palme

21.6k total citations · 6 hit papers
67 papers, 9.2k citations indexed

About

Johan Bengtsson‐Palme is a scholar working on Molecular Biology, Pollution and Molecular Medicine. According to data from OpenAlex, Johan Bengtsson‐Palme has authored 67 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 25 papers in Pollution and 25 papers in Molecular Medicine. Recurrent topics in Johan Bengtsson‐Palme's work include Antibiotic Resistance in Bacteria (25 papers), Pharmaceutical and Antibiotic Environmental Impacts (24 papers) and Genomics and Phylogenetic Studies (17 papers). Johan Bengtsson‐Palme is often cited by papers focused on Antibiotic Resistance in Bacteria (25 papers), Pharmaceutical and Antibiotic Environmental Impacts (24 papers) and Genomics and Phylogenetic Studies (17 papers). Johan Bengtsson‐Palme collaborates with scholars based in Sweden, United States and Germany. Johan Bengtsson‐Palme's co-authors include D. G. Joakim Larsson, Erik Kristiansson, Chandan Pal, R. Henrik Nilsson, Kessy Abarenkov, Leho Tedersoo, Urmas Kõljalg, Peter G. Kennedy, Andy F. S. Taylor and Frank Oliver Glöckner and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Johan Bengtsson‐Palme

64 papers receiving 9.1k citations

Hit Papers

The UNITE database for molecular identification of fu... 2013 2026 2017 2021 2018 2017 2015 2013 2015 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The UNITE database for molecular identification of fungi: handling dark taxa and parallel taxonomic classifications
    2018 2.4k citations R. Henrik Nilsson, Johan Bengtsson‐Palme et al. profile →
  2. Environmental factors influencing the development and spread of antibiotic resistance
    2017 796 citations Johan Bengtsson‐Palme, Erik Kristiansson et al. FEMS Microbiology Reviews profile →
  3. Concentrations of antibiotics predicted to select for resistant bacteria: Proposed limits for environmental regulation
    2015 702 citations Johan Bengtsson‐Palme, D. G. Joakim Larsson Environment International profile →
  4. BacMet: antibacterial biocide and metal resistance genes database
    2013 632 citations Johan Bengtsson‐Palme, Erik Kristiansson et al. profile →
  5. Co-occurrence of resistance genes to antibiotics, biocides and metals reveals novel insights into their co-selection potential
    2015 582 citations Johan Bengtsson‐Palme, Erik Kristiansson et al. BMC Genomics profile →
  6. Maternal gut and breast milk microbiota affect infant gut antibiotic resistome and mobile genetic elements
    2018 454 citations Antti Karkman, Johan Bengtsson‐Palme et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Johan Bengtsson‐Palme Sweden 34 3.7k 2.7k 2.3k 2.2k 1.8k 67 9.2k
Erik Kristiansson Sweden 52 4.1k 1.1× 3.5k 1.3× 2.7k 1.2× 1.8k 0.8× 2.1k 1.2× 145 10.8k
Elizabeth M. H. Wellington United Kingdom 57 3.3k 0.9× 4.7k 1.7× 1.9k 0.8× 2.8k 1.3× 2.8k 1.5× 185 12.2k
Holger Heuer Germany 60 5.0k 1.3× 3.0k 1.1× 2.1k 0.9× 3.4k 1.6× 4.2k 2.4× 141 12.0k
Michael R. Gillings Australia 65 6.5k 1.7× 4.4k 1.6× 4.6k 2.0× 4.2k 1.9× 2.0k 1.1× 218 15.2k
Roderick I. Mackie United States 68 3.1k 0.8× 6.9k 2.6× 1.4k 0.6× 2.3k 1.1× 1.8k 1.0× 248 17.4k
Hang‐Wei Hu Australia 61 5.4k 1.5× 2.2k 0.8× 1.0k 0.4× 5.4k 2.5× 3.2k 1.8× 247 12.4k
António Correia Portugal 43 1.6k 0.4× 1.6k 0.6× 1.5k 0.7× 1.4k 0.6× 1.3k 0.7× 137 5.5k
Benli Chai United States 23 2.6k 0.7× 5.4k 2.0× 920 0.4× 4.0k 1.9× 1.5k 0.9× 36 11.6k
Eva M. Top United States 58 4.0k 1.1× 3.1k 1.2× 2.3k 1.0× 3.0k 1.4× 1.2k 0.7× 139 9.1k
Kornelia Smalla Germany 71 3.9k 1.1× 5.4k 2.0× 1.3k 0.5× 6.0k 2.8× 9.9k 5.5× 232 19.7k

Countries citing papers authored by Johan Bengtsson‐Palme

Since Specialization
Citations

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

Fields of papers citing papers by Johan Bengtsson‐Palme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan Bengtsson‐Palme. 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 Johan Bengtsson‐Palme. The network helps show where Johan Bengtsson‐Palme may publish in the future.

Co-authorship network of co-authors of Johan Bengtsson‐Palme

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Bengtsson‐Palme. A scholar is included among the top collaborators of Johan Bengtsson‐Palme 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 Johan Bengtsson‐Palme. Johan Bengtsson‐Palme 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
1.
Jarquín‐Díaz, Víctor Hugo, et al.. (2026). Cefiderocol resistance genes identified in environmental samples using functional metagenomics. The ISME Journal. 20(1).
2.
Martinis, Elaine Cristina Pereira De, Virgínia Farias Alves, Marita Gimenez Pereira, et al.. (2025). Applying 3D cultures and high-throughput technologies to study host-pathogen interactions. Frontiers in Immunology. 16. 1488699–1488699. 2 indexed citations
3.
Bengtsson‐Palme, Johan, et al.. (2025). Fluoroquinolone-specific resistance trajectories in E. coli and their dependence on the SOS-response. BMC Microbiology. 25(1). 37–37. 1 indexed citations
4.
Abramova, Anna, Antti Karkman, & Johan Bengtsson‐Palme. (2024). Metagenomic assemblies tend to break around antibiotic resistance genes. BMC Genomics. 25(1). 959–959. 14 indexed citations
5.
Bengtsson‐Palme, Johan, et al.. (2024). Adaptation of Escherichia coli to ciprofloxacin and enrofloxacin: Differential proteomics of the SOS response and RecA-independent mechanisms. International Journal of Antimicrobial Agents. 65(2). 107420–107420. 2 indexed citations
6.
Abramova, Anna, Thomas U. Berendonk, & Johan Bengtsson‐Palme. (2023). A global baseline for qPCR-determined antimicrobial resistance gene prevalence across environments. Environment International. 178. 108084–108084. 41 indexed citations
7.
Klingenberg, Claus, Eirin Esaiassen, Erik Hjerde, et al.. (2023). Development of early life gut resistome and mobilome across gestational ages and microbiota-modifying treatments. EBioMedicine. 92. 104613–104613. 25 indexed citations
8.
Parras-Moltó, Marcos, et al.. (2023). Latent antibiotic resistance genes are abundant, diverse, and mobile in human, animal, and environmental microbiomes. Microbiome. 11(1). 44–44. 69 indexed citations
9.
Liguori, Renato, et al.. (2021). Microbial retention and resistances in stormwater quality improvement devices treating road runoff. PubMed. 2. xtab008–xtab008. 6 indexed citations
10.
Bengtsson‐Palme, Johan, Rodney T. Richardson, Marco Meola, et al.. (2018). Metaxa2 Database Builder: enabling taxonomic identification from metagenomic or metabarcoding data using any genetic marker. Bioinformatics. 34(23). 4027–4033. 30 indexed citations
11.
Richardson, Rodney T., Johan Bengtsson‐Palme, Mary M. Gardiner, & Reed M. Johnson. (2018). A reference cytochrome c oxidase subunit I database curated for hierarchical classification of arthropod metabarcoding data. PeerJ. 6. e5126–e5126. 15 indexed citations
12.
Wurzbacher, Christian, Ellen Larsson, Johan Bengtsson‐Palme, et al.. (2018). Introducing ribosomal tandem repeat barcoding for fungi. Molecular Ecology Resources. 19(1). 118–127. 82 indexed citations
13.
Bengtsson‐Palme, Johan, et al.. (2017). The relation between Blastocystis and the intestinal microbiota in Swedish travellers. BMC Microbiology. 17(1). 231–231. 60 indexed citations
14.
Bengtsson‐Palme, Johan, Erik Kristiansson, & D. G. Joakim Larsson. (2017). Environmental factors influencing the development and spread of antibiotic resistance. FEMS Microbiology Reviews. 42(1). 796 indexed citations breakdown →
15.
Boulund, Fredrik, Fanny Berglund, Carl‐Fredrik Flach, et al.. (2017). Computational discovery and functional validation of novel fluoroquinolone resistance genes in public metagenomic data sets. BMC Genomics. 18(1). 682–682. 17 indexed citations
16.
Bengtsson‐Palme, Johan, Lina Gunnarsson, & D. G. Joakim Larsson. (2017). Can branding and price of pharmaceuticals guide informed choices towards improved pollution control during manufacturing?. Journal of Cleaner Production. 171. 137–146. 24 indexed citations
17.
Bengtsson‐Palme, Johan. (2016). Rynki pracy przyszłości: wyzwanie dla polityki edukacyjnej. SHILAP Revista de lepidopterología.
18.
Bengtsson‐Palme, Johan, Martin Angelin, Mikael Huss, et al.. (2015). The Human Gut Microbiome as a Transporter of Antibiotic Resistance Genes between Continents. Antimicrobial Agents and Chemotherapy. 59(10). 6551–6560. 153 indexed citations
19.
Sanli, Kemal, Johan Bengtsson‐Palme, R. Henrik Nilsson, et al.. (2015). Metagenomic sequencing of marine periphyton: taxonomic and functional insights into biofilm communities. Frontiers in Microbiology. 6. 1192–1192. 46 indexed citations
20.

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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