Daniel A. Pass

1.0k total citations · 1 hit paper
9 papers, 728 citations indexed

About

Daniel A. Pass is a scholar working on Pollution, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Daniel A. Pass has authored 9 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pollution, 3 papers in Molecular Biology and 3 papers in Molecular Medicine. Recurrent topics in Daniel A. Pass's work include Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Antibiotic Use and Resistance (2 papers). Daniel A. Pass is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Antibiotic Use and Resistance (2 papers). Daniel A. Pass collaborates with scholars based in United Kingdom, Italy and Australia. Daniel A. Pass's co-authors include Julian R. Marchesi, Jonathan Hourihane, Paul W. O’Toole, Marco Severgnini, Miguel Gueimonde, Marco Ventura, Clelia Peano, Colm Kerr, Douwe van Sinderen and Marcus J. Claesson and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Water Research.

In The Last Decade

Daniel A. Pass

8 papers receiving 719 citations

Hit Papers

Diversity of Bifidobacteria within the Infant Gut Microbiota 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Pass United Kingdom 6 460 255 213 112 101 9 728
Jérôme Breton France 9 344 0.7× 193 0.8× 181 0.8× 55 0.5× 96 1.0× 11 723
Sabine Bartosch Germany 7 589 1.3× 285 1.1× 168 0.8× 213 1.9× 146 1.4× 8 972
Jonas Ghyselinck Belgium 15 414 0.9× 195 0.8× 199 0.9× 55 0.5× 17 0.2× 34 743
P. S. Langendijk Netherlands 5 606 1.3× 451 1.8× 333 1.6× 138 1.2× 27 0.3× 7 1.0k
Elisabeth Singer France 13 313 0.7× 206 0.8× 114 0.5× 105 0.9× 22 0.2× 24 656
Chen Ma China 11 436 0.9× 294 1.2× 76 0.4× 74 0.7× 29 0.3× 23 785
Rosaria Anzalone Italy 16 550 1.2× 368 1.4× 143 0.7× 99 0.9× 18 0.2× 36 720
Gijsbert J. Jansen Netherlands 10 752 1.6× 537 2.1× 386 1.8× 231 2.1× 59 0.6× 22 1.3k
Conor Feehily Ireland 14 420 0.9× 351 1.4× 75 0.4× 47 0.4× 25 0.2× 28 873
Rosemarie De Weirdt Belgium 9 750 1.6× 372 1.5× 207 1.0× 172 1.5× 16 0.2× 10 954

Countries citing papers authored by Daniel A. Pass

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Pass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Pass. 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 Daniel A. Pass. The network helps show where Daniel A. Pass may publish in the future.

Co-authorship network of co-authors of Daniel A. Pass

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Pass. A scholar is included among the top collaborators of Daniel A. Pass 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 Daniel A. Pass. Daniel A. Pass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Silvester, Reshma, William Bernard Perry, Gordon Webster, et al.. (2025). Metagenomic profiling of hospital wastewater: A comprehensive national scale analysis of antimicrobial resistance genes and opportunistic pathogens. Journal of Infection. 90(6). 106503–106503. 3 indexed citations
2.
Silvester, Reshma, William Bernard Perry, Gordon Webster, et al.. (2025). Metagenomics unveils the role of hospitals and wastewater treatment plants on the environmental burden of antibiotic resistance genes and opportunistic pathogens. The Science of The Total Environment. 961. 178403–178403. 9 indexed citations
3.
Farkas, Kata, Matthew J. Wade, Gordon Webster, et al.. (2025). Wastewater-based analysis of antimicrobial resistance at UK airports: Evaluating the potential opportunities and challenges. Environment International. 195. 109260–109260. 3 indexed citations
4.
Webster, Gordon, William Bernard Perry, Amy Baldwin, et al.. (2024). National-scale antimicrobial resistance surveillance in wastewater: A comparative analysis of HT qPCR and metagenomic approaches. Water Research. 262. 121989–121989. 21 indexed citations
6.
Mullish, Benjamin H., Julian R. Marchesi, Julie A. K. McDonald, et al.. (2021). Probiotics reduce self-reported symptoms of upper respiratory tract infection in overweight and obese adults: should we be considering probiotics during viral pandemics?. Gut Microbes. 13(1). 1–9. 46 indexed citations
7.
Pass, Daniel A., Angela Marchbank, Margaret Crawford, et al.. (2017). Genome-wide chromatin mapping with size resolution reveals a dynamic sub-nucleosomal landscape in Arabidopsis. PLoS Genetics. 13(9). e1006988–e1006988. 22 indexed citations
8.
Pass, Daniel A., Andrew Morgan, Daniel S. Read, et al.. (2014). The effect of anthropogenic arsenic contamination on the earthworm microbiome. Environmental Microbiology. 17(6). 1884–1896. 122 indexed citations
9.
Turroni, Francesca, Clelia Peano, Daniel A. Pass, et al.. (2012). Diversity of Bifidobacteria within the Infant Gut Microbiota. PLoS ONE. 7(5). e36957–e36957. 502 indexed citations breakdown →

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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