Gavin Fredrickson

482 total citations · 1 hit paper
8 papers, 309 citations indexed

About

Gavin Fredrickson is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Gavin Fredrickson has authored 8 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Gavin Fredrickson's work include Liver Disease Diagnosis and Treatment (4 papers), Inflammation biomarkers and pathways (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). Gavin Fredrickson is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Inflammation biomarkers and pathways (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). Gavin Fredrickson collaborates with scholars based in United States, Canada and Russia. Gavin Fredrickson's co-authors include Xavier S. Revelo, Fanta Barrow, Haiguang Wang, Saad Khan, Sacha Robert, Oyedele Adeyi, Katrina Dietsche, Christopher Staley, Adam Herman and Daniel A. Winer and has published in prestigious journals such as Hepatology, Journal of Lipid Research and Frontiers in Immunology.

In The Last Decade

Gavin Fredrickson

7 papers receiving 306 citations

Hit Papers

Microbiota‐Driven Activation of Intrahepatic B Cells Aggr... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gavin Fredrickson United States 6 163 106 93 62 49 8 309
Fanta Barrow United States 7 222 1.4× 105 1.0× 82 0.9× 64 1.0× 81 1.7× 12 355
Emelie Barreby Sweden 5 154 0.9× 97 0.9× 73 0.8× 29 0.5× 49 1.0× 5 265
Arfianti Arfianti Indonesia 6 187 1.1× 108 1.0× 47 0.5× 34 0.5× 61 1.2× 29 359
Marina Nati Germany 7 255 1.6× 110 1.0× 87 0.9× 132 2.1× 69 1.4× 8 417
Adélaïde Gélineau France 5 163 1.0× 94 0.9× 136 1.5× 25 0.4× 76 1.6× 5 340
Jashdeep Bhattacharjee India 8 146 0.9× 53 0.5× 50 0.5× 36 0.6× 56 1.1× 16 253
Henry Kuang United States 9 98 0.6× 128 1.2× 50 0.5× 35 0.6× 25 0.5× 12 277
Karin Diggle United States 10 111 0.7× 108 1.0× 36 0.4× 39 0.6× 65 1.3× 12 284
Mandy M. Chan United States 4 197 1.2× 64 0.6× 105 1.1× 19 0.3× 91 1.9× 9 301
Zhibo Zhao China 13 95 0.6× 251 2.4× 86 0.9× 28 0.5× 27 0.6× 25 447

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-authorship network of co-authors of Gavin Fredrickson

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

All Works

8 of 8 papers shown
1.
Wang, Haiguang, Adam Herman, Fanta Barrow, et al.. (2025). Single-cell RNA sequencing reveals a reprogramming of hepatic immune cells and a protective role for B cells in MASH-driven HCC. Hepatology Communications. 9(5). 2 indexed citations
2.
Fredrickson, Gavin, Fanta Barrow, Katrina Dietsche, et al.. (2024). TREM2 macrophages mediate the beneficial effects of bariatric surgery against MASH. Hepatology. 81(6). 1776–1791. 15 indexed citations
3.
Barrow, Fanta, Gavin Fredrickson, Haiguang Wang, & Xavier S. Revelo. (2023). Functional phenotyping of hepatic lymphocytes in murine MASH by mass cytometry. STAR Protocols. 4(4). 102743–102743.
4.
Barrow, Fanta, Yasuhiko Nakao, Amy S. Mauer, et al.. (2023). Modulating sphingosine 1-phosphate receptor signaling skews intrahepatic leukocytes and attenuates murine nonalcoholic steatohepatitis. Frontiers in Immunology. 14. 1130184–1130184. 9 indexed citations
5.
Patterson, Michael T., Maria Firulyova, Yingzheng Xu, et al.. (2023). Trem2 promotes foamy macrophage lipid uptake and survival in atherosclerosis. Nature Cardiovascular Research. 2(11). 1015–1031. 73 indexed citations
6.
Fredrickson, Gavin, Fanta Barrow, Katrina Dietsche, et al.. (2021). Exercise of high intensity ameliorates hepatic inflammation and the progression of NASH. Molecular Metabolism. 53. 101270–101270. 54 indexed citations
7.
Barrow, Fanta, Saad Khan, Gavin Fredrickson, et al.. (2021). Microbiota‐Driven Activation of Intrahepatic B Cells Aggravates NASH Through Innate and Adaptive Signaling. Hepatology. 74(2). 704–722. 149 indexed citations breakdown →
8.
Lopresti, Michael, Wenqi Cui, Gavin Fredrickson, et al.. (2021). Hepatic lysosomal acid lipase overexpression worsens hepatic inflammation in mice fed a Western diet. Journal of Lipid Research. 62. 100133–100133. 7 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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