Jessica M. Ferrell

3.8k total citations · 5 hit papers
30 papers, 2.8k citations indexed

About

Jessica M. Ferrell is a scholar working on Epidemiology, Oncology and Surgery. According to data from OpenAlex, Jessica M. Ferrell has authored 30 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 16 papers in Oncology and 12 papers in Surgery. Recurrent topics in Jessica M. Ferrell's work include Drug Transport and Resistance Mechanisms (16 papers), Liver Disease Diagnosis and Treatment (16 papers) and Cholesterol and Lipid Metabolism (7 papers). Jessica M. Ferrell is often cited by papers focused on Drug Transport and Resistance Mechanisms (16 papers), Liver Disease Diagnosis and Treatment (16 papers) and Cholesterol and Lipid Metabolism (7 papers). Jessica M. Ferrell collaborates with scholars based in United States, China and South Korea. Jessica M. Ferrell's co-authors include John Y.L. Chiang, Shannon Boehme, Kristopher W. Krausz, Frank J. Gonzalez, Preeti Pathak, Andrew D. Patterson, Robert G. Nichols, Cen Xie, Yunpeng Qi and Changtao Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and International Journal of Molecular Sciences.

In The Last Decade

Jessica M. Ferrell

29 papers receiving 2.8k citations

Hit Papers

Intestine farnesoid X rec... 2018 2026 2020 2023 2018 2018 2020 2019 2022 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Intestine farnesoid X receptor agonist and the gut microbiota activate G‐protein bile acid receptor‐1 signaling to improve metabolism
    2018 410 citations Preeti Pathak, Cen Xie et al. Hepatology profile →
  2. Bile Acid Metabolism in Liver Pathobiology
    2018 387 citations John Y.L. Chiang, Jessica M. Ferrell profile →
  3. Bile acid receptors FXR and TGR5 signaling in fatty liver diseases and therapy
    2020 306 citations John Y.L. Chiang, Jessica M. Ferrell profile →
  4. Bile Acids as Metabolic Regulators and Nutrient Sensors
    2019 305 citations John Y.L. Chiang, Jessica M. Ferrell Annual Review of Nutrition profile →
  5. Discovery of farnesoid X receptor and its role in bile acid metabolism
    2022 167 citations John Y.L. Chiang, Jessica M. Ferrell Molecular and Cellular Endocrinology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica M. Ferrell United States 20 1.2k 1.0k 961 631 603 30 2.8k
Maaike H. Oosterveer Netherlands 25 1.8k 1.5× 1.1k 1.0× 751 0.8× 751 1.2× 1.4k 2.3× 54 3.9k
Giuseppe Lo Sasso Italy 25 1.4k 1.2× 779 0.7× 615 0.6× 562 0.9× 814 1.3× 38 3.4k
Jelske N. van der Veen Canada 22 1.1k 1.0× 599 0.6× 332 0.3× 572 0.9× 479 0.8× 31 2.4k
Maarten R. Soeters Netherlands 30 1.3k 1.1× 623 0.6× 394 0.4× 375 0.6× 1.6k 2.7× 78 3.6k
Michael W. Devereaux United States 28 577 0.5× 653 0.6× 642 0.7× 569 0.9× 321 0.5× 70 2.6k
Vicent Ribas Spain 27 1.1k 0.9× 628 0.6× 232 0.2× 542 0.9× 521 0.9× 51 2.7k
Ignazio Grattagliano Italy 31 814 0.7× 1.1k 1.0× 182 0.2× 423 0.7× 573 1.0× 56 3.1k
Giovanni Solinas Switzerland 27 1.7k 1.5× 1.2k 1.2× 350 0.4× 402 0.6× 1.4k 2.3× 45 3.9k
Taoufiq Harach Switzerland 9 1.4k 1.2× 427 0.4× 423 0.4× 317 0.5× 988 1.6× 9 2.3k
Brijesh Kumar Singh Singapore 37 1.5k 1.3× 1.5k 1.4× 166 0.2× 266 0.4× 706 1.2× 81 4.0k

Countries citing papers authored by Jessica M. Ferrell

Since Specialization
Citations

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

Fields of papers citing papers by Jessica M. Ferrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica M. Ferrell. 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 Jessica M. Ferrell. The network helps show where Jessica M. Ferrell may publish in the future.

Co-authorship network of co-authors of Jessica M. Ferrell

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica M. Ferrell. A scholar is included among the top collaborators of Jessica M. Ferrell 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 Jessica M. Ferrell. Jessica M. Ferrell 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.
Ferrell, Jessica M.. (2024). Chronobiology of Cancers in the Liver and Gut. Cancers. 16(17). 2925–2925.
2.
Ferrell, Jessica M., et al.. (2024). Lactobacillus sp. for the Attenuation of Metabolic Dysfunction-Associated Steatotic Liver Disease in Mice. Microorganisms. 12(12). 2488–2488. 4 indexed citations
3.
Ferrell, Jessica M., et al.. (2024). Fibroblast Growth Factor 19 Alters Bile Acids to Induce Dysbiosis in Mice With Alcohol-Induced Liver Disease. Cellular and Molecular Gastroenterology and Hepatology. 18(1). 71–87. 4 indexed citations
4.
Gupta, Shreya, et al.. (2023). Deletion of Smooth Muscle O-GlcNAc Transferase Prevents Development of Atherosclerosis in Western Diet-Fed Hyperglycemic ApoE-/- Mice In Vivo. International Journal of Molecular Sciences. 24(9). 7899–7899. 8 indexed citations
5.
Ferrell, Jessica M.. (2023). Circadian rhythms and inflammatory diseases of the liver and gut. Liver Research. 7(3). 196–206. 4 indexed citations
6.
Ferrell, Jessica M., et al.. (2022). Altered serotonin metabolism in Takeda G protein-coupled receptor 5 knockout mice protects against diet-induced hepatic fibrosis. Liver Research. 6(4). 214–226. 2 indexed citations
7.
Chiang, John Y.L. & Jessica M. Ferrell. (2022). Discovery of farnesoid X receptor and its role in bile acid metabolism. Molecular and Cellular Endocrinology. 548. 111618–111618. 167 indexed citations breakdown →
8.
Ferrell, Jessica M. & John Y.L. Chiang. (2021). Bile acid receptors and signaling crosstalk in the liver, gut and brain. Liver Research. 5(3). 105–118. 39 indexed citations
9.
Chiang, John Y.L. & Jessica M. Ferrell. (2020). Up to date on cholesterol 7 alpha-hydroxylase (CYP7A1) in bile acid synthesis. Liver Research. 4(2). 47–63. 188 indexed citations
10.
Chiang, John Y.L. & Jessica M. Ferrell. (2019). Bile Acids as Metabolic Regulators and Nutrient Sensors. Annual Review of Nutrition. 39(1). 175–200. 305 indexed citations breakdown →
11.
Ferrell, Jessica M. & John Y.L. Chiang. (2019). Understanding Bile Acid Signaling in Diabetes: From Pathophysiology to Therapeutic Targets. Diabetes & Metabolism Journal. 43(3). 257–257. 88 indexed citations
12.
Ferrell, Jessica M., et al.. (2019). Deficiency of Both Farnesoid X Receptor and Takeda G Protein–Coupled Receptor 5 Exacerbated Liver Fibrosis in Mice. Hepatology. 70(3). 955–970. 49 indexed citations
13.
Pathak, Preeti, Cen Xie, Robert G. Nichols, et al.. (2018). Intestine farnesoid X receptor agonist and the gut microbiota activate G‐protein bile acid receptor‐1 signaling to improve metabolism. Hepatology. 68(4). 1574–1588. 410 indexed citations breakdown →
14.
Chiang, John Y.L., Preeti Pathak, Hailiang Liu, et al.. (2017). Intestinal Farnesoid X Receptor and Takeda G Protein Couple Receptor 5 Signaling in Metabolic Regulation. Digestive Diseases. 35(3). 241–245. 70 indexed citations
15.
Ferrell, Jessica M., Shannon Boehme, Feng Li, & John Y.L. Chiang. (2016). Cholesterol 7α-hydroxylase-deficient mice are protected from high-fat/high-cholesterol diet-induced metabolic disorders. Journal of Lipid Research. 57(7). 1144–1154. 83 indexed citations
16.
Ferrell, Jessica M. & John Y.L. Chiang. (2015). Circadian rhythms in liver metabolism and disease. Acta Pharmaceutica Sinica B. 5(2). 113–122. 92 indexed citations
17.
Ferrell, Jessica M. & John Y.L. Chiang. (2015). Short-Term Circadian Disruption Impairs Bile Acid and Lipid Homeostasis in Mice. Cellular and Molecular Gastroenterology and Hepatology. 1(6). 664–677. 67 indexed citations
18.
Reiner, Anton, Scott A. Heldt, Andrea J. Elberger, et al.. (2014). Motor, Visual and Emotional Deficits in Mice after Closed-Head Mild Traumatic Brain Injury Are Alleviated by the Novel CB2 Inverse Agonist SMM-189. International Journal of Molecular Sciences. 16(1). 758–787. 69 indexed citations
19.
Heldt, Scott A., Andrea J. Elberger, Yunping Deng, et al.. (2014). A Novel Closed-Head Model of Mild Traumatic Brain Injury Caused by Primary Overpressure Blast to the Cranium Produces Sustained Emotional Deficits in Mice. Frontiers in Neurology. 5. 2–2. 78 indexed citations
20.
Qi, Yunpeng, Changtao Jiang, Jie Cheng, et al.. (2014). Bile acid signaling in lipid metabolism: Metabolomic and lipidomic analysis of lipid and bile acid markers linked to anti-obesity and anti-diabetes in mice. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1851(1). 19–29. 177 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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