Ryan J. Rebernick

893 citations
16 papers · 452 indexed · 2 hit papers · h-index 8
Topics
Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers)Gut microbiota and health (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)

In The Last Decade

Ryan J. Rebernick

12 papers receiving 449 citations

Hit Papers

Reuterin in the healthy gut microbiome suppresses colorec...20212026202220242021202450100150

Peers

Ryan J. Rebernick
Comparison fields: 5 of 76
  • Molecular Biology 245
  • Immunology 134
  • Oncology 74
  • Pulmonary and Respiratory Medicine 55
  • Rheumatology 50
Replace Dana P. Cook with:
Dana P. Cook Belgium
Ramireddy Bommireddy United States
Shu-Fen Wu Taiwan
Magdalena B. Flak United Kingdom
Špela Konjar Portugal
Amanda Thomson United Kingdom
David Bauché United States
Arne Martens Belgium
Tünde Fekete Hungary
Yangsheng Yu United States
Ryan J. Rebernick relative to Dana P. Cook Belgium Dana P. Cook's profile →
Citations per field
00.5×4.6×
Dana P. Cook · 1×
Citations per year

Countries citing papers authored by Ryan J. Rebernick

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Rebernick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan J. Rebernick

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 0
3
Comprehensive genetic study of the insulin resistance marker TG:HDL-C in the UK Biobankbreakdown →
44
4 0
5 1
6 0
7 4
8 12
9 2
10 6
11
Reuterin in the healthy gut microbiome suppresses colorectal cancer growth through altering redox balancebreakdown →
188
12 29
13 15
14 44
15 72
16 35

About Ryan J. Rebernick

Ryan J. Rebernick is a scholar working on Transplantation, Neurology and Immunology, having authored 16 papers that have together received 452 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Gut microbiota and health (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Immunology (134 citations), Immunology and Allergy (24 citations) and Molecular Biology (245 citations). Ryan J. Rebernick has collaborated with scholars based in United States, Denmark and Netherlands. Frequent co-authors include Mandar Bawadekar, Miriam A. Shelef, Hannah N. Bell, Samuel A. Kerk, Joseph D. Mancias, Anthony Andren, Nupur K. Das, Peter K. Todd, Miljan Kuljanin and Joshua Goyert. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology and Cancer 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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