Ryan A. Groves

2.3k citations
23 papers · 1.5k · 1 hit paper · h-index 13

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 8
    • Gut microbiota and health 4
    • Microbial Metabolic Engineering and Bioproduction 3
    • Bacterial biofilms and quorum sensing 2
    • Mass Spectrometry Techniques and Applications 2
    • Analytical Chemistry and Chromatography 2

Ryan A. Groves

22 papers receiving 1.5k citations

Ryan A. Groves's Hit Papers

Microbiome-derived inosine modulates response to checkpoint inhibitor immunotherapy 2020 · 964 citations
9640+2+4Years since publication250500750

Peers

Ryan A. Groves
Comparison fields: 5 of 130
  • Biological Psychiatry 75
  • Oncology 354
  • Molecular Biology 911
  • Biotechnology 103
  • Infectious Diseases 192
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Citations per field
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Citations per year

Countries citing papers authored by Ryan A. Groves

Since Specialization
Citations

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

Fields of papers citing papers by Ryan A. Groves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microbiome-derived inosine modulates response to checkpoint inhibitor immunotherapy
Hit paper breakdown →
2020964
2 2019127
3 2021100
4 202092
5 201836
6 202233
7 202331
8 201825
9 202222
10 202019
11 201519
12 202118
13 202013
14 202510
15 20229
16 20228
17 20228
18 20167
19 20242
20 20242

About Ryan A. Groves

Ryan A. Groves is a scholar working on Molecular Biology, Spectroscopy, Biomedical Engineering, Infectious Diseases and Ecology, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Gut microbiota and health (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Hydrocarbon exploration and reservoir analysis (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Bacterial biofilms and quorum sensing (2 papers), Analytical Chemistry and Chromatography (2 papers) and Methane Hydrates and Related Phenomena (2 papers). The work is most often cited by research in Biological Psychiatry (75 citations), Oncology (354 citations), Molecular Biology (911 citations), Biotechnology (103 citations) and Infectious Diseases (192 citations). Ryan A. Groves has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Ian A. Lewis, Kirsty Brown, Kathy D. McCoy, Hena R. Ramay, Markus B. Geuking, Nicola Pett, Noah C.A. Cooke, Seungil Paik, Regula Burkhard and Marco Gallo. Their work appears in journals such as Nature Communications, Frontiers in Microbiology, Analytical Chemistry, Journal of Biological Chemistry and Inflammatory Bowel Diseases.

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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