Gavin Fredrickson

482 citations
8 papers · 309 · 1 hit paper · h-index 6

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 4
    • Sphingolipid Metabolism and Signaling 2
    • Single-cell and spatial transcriptomics 1

Gavin Fredrickson

7 papers receiving 306 citations

Gavin Fredrickson's Hit Papers

Microbiota‐Driven Activation of Intrahepatic B Cells Aggravates NASH Through Innate and Adaptive Signaling 2021 · 149 citations
1490+1+3Years since publication4080120

Peers

Gavin Fredrickson
Comparison fields: 5 of 61
  • Hepatology 49
  • Epidemiology 163
  • Immunology 93
  • Neurology 21
  • Physiology 62
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Fanta Barrow United States
Adélaïde Gélineau France
Mandy M. Chan United States
Natascha Vidovic Germany
Henry Kuang United States
Marina Nati Germany
Jashdeep Bhattacharjee India
Matias Ekstrand Sweden
Karin Diggle United States
Raphaëlle Ballaire France
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Citations per field
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Citations per year

Countries citing papers authored by Gavin Fredrickson

Since Specialization
Citations

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

Fields of papers citing papers by Gavin Fredrickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin Fredrickson. 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 Gavin Fredrickson. The network helps show where Gavin Fredrickson may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Microbiota‐Driven Activation of Intrahepatic B Cells Aggravates NASH Through Innate and Adaptive Signaling
Hit paper breakdown →
2021149
2 202373
3 202154
4 202415
5 20239
6 20217
7 20252
8 20230

About Gavin Fredrickson

Gavin Fredrickson is a scholar working on Epidemiology, Molecular Biology, Immunology, Surgery and Pharmacology, having authored 8 papers that have together received 309 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Inflammation biomarkers and pathways (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Pancreatitis Pathology and Treatment (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Single-cell and spatial transcriptomics (1 paper), Apelin-related biomedical research (1 paper) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Hepatology (49 citations), Epidemiology (163 citations), Immunology (93 citations), Neurology (21 citations) and Physiology (62 citations). Gavin Fredrickson has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Xavier S. Revelo, Fanta Barrow, Haiguang Wang, Katrina Dietsche, Oyedele Adeyi, Sacha Robert, Saad Khan, Adam Herman, Christopher Staley and Daniel A. Winer. Their work appears in journals such as Hepatology, Frontiers in Immunology, Journal of Lipid Research, Molecular Metabolism and Hepatology Communications.

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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