Phillip B. Pope

11.2k total citations · 3 hit papers
81 papers, 4.4k citations indexed

About

Phillip B. Pope is a scholar working on Molecular Biology, Ecology and Biomedical Engineering. According to data from OpenAlex, Phillip B. Pope has authored 81 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 21 papers in Ecology and 17 papers in Biomedical Engineering. Recurrent topics in Phillip B. Pope's work include Gut microbiota and health (28 papers), Microbial Community Ecology and Physiology (19 papers) and Biofuel production and bioconversion (17 papers). Phillip B. Pope is often cited by papers focused on Gut microbiota and health (28 papers), Microbial Community Ecology and Physiology (19 papers) and Biofuel production and bioconversion (17 papers). Phillip B. Pope collaborates with scholars based in Norway, United States and Australia. Phillip B. Pope's co-authors include Vincent G. H. Eijsink, Alice C. McHardy, Mark Morrison, Magnus Ø. Arntzen, Sabina Leanti La Rosa, Live H. Hagen, Bjørge Westereng, Johan Larsbrink, Stuart E. Denman and Christopher S. McSweeney and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Phillip B. Pope

81 papers receiving 4.4k citations

Hit Papers

DRAM for distilling microbial metabolism to automate the ... 2019 2026 2021 2023 2020 2019 2021 100 200 300 400 500

Peers

Phillip B. Pope
Carl J. Yeoman United States
Isaac Cann United States
Rob Egan United States
Graeme T. Attwood New Zealand
Robert B. Hespell United States
Carl J. Yeoman United States
Phillip B. Pope
Citations per year, relative to Phillip B. Pope Phillip B. Pope (= 1×) peers Carl J. Yeoman

Countries citing papers authored by Phillip B. Pope

Since Specialization
Citations

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

Fields of papers citing papers by Phillip B. Pope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip B. Pope. 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 Phillip B. Pope. The network helps show where Phillip B. Pope may publish in the future.

Co-authorship network of co-authors of Phillip B. Pope

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip B. Pope. A scholar is included among the top collaborators of Phillip B. Pope 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 Phillip B. Pope. Phillip B. Pope 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.
Walter, Juline M., et al.. (2025). Anaerobic digestion of microalgae: microbial response and recovery after organic loading disturbances. mSystems. 10(3). e0167424–e0167424. 2 indexed citations
2.
Øyås, Ove, et al.. (2024). Integrating host and microbiome biology using holo-omics. Molecular Omics. 20(7). 438–452. 3 indexed citations
3.
Delogu, Francesco, Praveen Kumar, Benoît J. Kunath, et al.. (2023). Integrative meta-omics in Galaxy and beyond. Environmental Microbiome. 18(1). 56–56. 9 indexed citations
4.
Altshuler, Ianina, Arturo Vera‐Ponce de León, Juline M. Walter, et al.. (2023). Metabolic influence of core ciliates within the rumen microbiome. The ISME Journal. 17(7). 1128–1140. 30 indexed citations
5.
Yan, Xiaoting, Huazhe Si, Han Yu, et al.. (2022). Integrated multi-omics of the gastrointestinal microbiome and ruminant host reveals metabolic adaptation underlying early life development. Microbiome. 10(1). 222–222. 15 indexed citations
6.
Michalak, Leszek, Gabriel Vasconcelos Pereira, Åsmund K. Røhr, et al.. (2021). Human Gut Faecalibacterium prausnitzii Deploys a Highly Efficient Conserved System To Cross-Feed on β-Mannan-Derived Oligosaccharides. mBio. 12(3). e0362820–e0362820. 55 indexed citations
7.
Hagen, Live H., Silas H. W. Vick, Magnus Ø. Arntzen, et al.. (2021). Nitrous oxide respiring bacteria in biogas digestates for reduced agricultural emissions. The ISME Journal. 16(2). 580–590. 26 indexed citations
8.
Kujawska, Magdalena, Sabina Leanti La Rosa, Laure C. Roger, et al.. (2020). Succession of Bifidobacterium longum Strains in Response to a Changing Early Life Nutritional Environment Reveals Dietary Substrate Adaptations. iScience. 23(8). 101368–101368. 37 indexed citations
9.
Delogu, Francesco, Benoît J. Kunath, Paul N. Evans, et al.. (2020). Integration of absolute multi-omics reveals dynamic protein-to-RNA ratios and metabolic interplay within mixed-domain microbiomes. Nature Communications. 11(1). 4708–4708. 26 indexed citations
10.
Hagen, Live H., Charles Brooke, Claire Shaw, et al.. (2020). Proteome specialization of anaerobic fungi during ruminal degradation of recalcitrant plant fiber. The ISME Journal. 15(2). 421–434. 71 indexed citations
11.
Michalak, Leszek, John Christian Gaby, Leidy Lagos, et al.. (2020). Microbiota-directed fibre activates both targeted and secondary metabolic shifts in the distal gut. Nature Communications. 11(1). 5773–5773. 58 indexed citations
12.
Sandve, Simen R., János Tamás Padra, Live H. Hagen, et al.. (2019). The Farmed Atlantic Salmon (Salmo salar) Skin–Mucus Proteome and Its Nutrient Potential for the Resident Bacterial Community. Genes. 10(7). 515–515. 28 indexed citations
13.
Tveit, Alexander Tøsdal, et al.. (2019). Characterization of the cecum microbiome from wild and captive rock ptarmigans indigenous to Arctic Norway. PLoS ONE. 14(3). e0213503–e0213503. 21 indexed citations
14.
Liu, Ning, Hongjie Li, Marc G. Chevrette, et al.. (2018). Functional metagenomics reveals abundant polysaccharide-degrading gene clusters and cellobiose utilization pathways within gut microbiota of a wood-feeding higher termite. The ISME Journal. 13(1). 104–117. 97 indexed citations
15.
Kunath, Benoît J., Francesco Delogu, Adrian E. Naas, et al.. (2018). From proteins to polysaccharides: lifestyle and genetic evolution of Coprothermobacter proteolyticus. The ISME Journal. 13(3). 603–617. 23 indexed citations
16.
Arntzen, Magnus Ø., et al.. (2018). Proteomic Dissection of the Cellulolytic Machineries Used by Soil-Dwelling Bacteroidetes. mSystems. 3(6). 42 indexed citations
17.
Arntzen, Magnus Ø., Anikó Várnai, Roderick I. Mackie, Vincent G. H. Eijsink, & Phillip B. Pope. (2017). Outer membrane vesicles from Fibrobacter succinogenes S85 contain an array of carbohydrate‐active enzymes with versatile polysaccharide‐degrading capacity. Environmental Microbiology. 19(7). 2701–2714. 62 indexed citations
18.
Weimann, Aaron, et al.. (2016). From Genomes to Phenotypes: Traitar, the Microbial Trait Analyzer. mSystems. 1(6). 102 indexed citations
19.
Frank, Jorge, Yao Pan, Ave Tooming‐Klunderud, et al.. (2016). Improved metagenome assemblies and taxonomic binning using long-read circular consensus sequence data. Scientific Reports. 6(1). 99 indexed citations
20.
Hagen, Live H., Suzanne L. Ishaq, Mirzaman Zamanzadeh, et al.. (2016). Rumen and Cecum Microbiomes in Reindeer (Rangifer tarandus tarandus) Are Changed in Response to a Lichen Diet and May Affect Enteric Methane Emissions. PLoS ONE. 11(5). e0155213–e0155213. 41 indexed citations

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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