Jessica M. Ferrell
- Molecular Biology top 10%
- Epidemiology top 2%
- Oncology top 5%
- Surgery top 5%
- Physiology top 5%
- Co-authors
- John Y.L. ChiangShannon BoehmeKristopher W. KrauszFrank J. GonzalezPreeti PathakAndrew D. PattersonCen XieRobert G. Nichols
- Topics
- Drug Transport and Resistance Mechanisms (16 papers)Liver Disease Diagnosis and Treatment (16 papers)Cholesterol and Lipid Metabolism (7 papers)
- Cited by
- OncologyHepatologyEpidemiology
- Journals
- SHILAP Revista de lepidopterologíaHepatologyInternational Journal of Molecular Sciences
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jessica M. Ferrell
29 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.2k
- Epidemiology 1.0k
- Oncology 961
- Surgery 631
- Physiology 603
Countries citing papers authored by Jessica M. Ferrell
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | Discovery of farnesoid X receptor and its role in bile acid metabolismbreakdown → | 167 |
| 8 | 39 | |
| 9 | 188 | |
| 10 | Bile Acids as Metabolic Regulators and Nutrient Sensorsbreakdown → | 305 |
| 11 | 88 | |
| 12 | 49 | |
| 13 | Intestine farnesoid X receptor agonist and the gut microbiota activate G‐protein bile acid receptor‐1 signaling to improve metabolismbreakdown → | 410 |
| 14 | 70 | |
| 15 | 83 | |
| 16 | 67 | |
| 17 | 92 | |
| 18 | 177 | |
| 19 | 69 | |
| 20 | 78 |
About Jessica M. Ferrell
Jessica M. Ferrell is a scholar working on Endocrine and Autonomic Systems, Oncology and Epidemiology, having authored 30 papers that have together received 2.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (16 papers), Liver Disease Diagnosis and Treatment (16 papers) and Cholesterol and Lipid Metabolism (7 papers). The work is most often cited by research in Oncology (961 citations), Hepatology (248 citations) and Epidemiology (1.0k citations). Jessica M. Ferrell has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include John Y.L. Chiang, Shannon Boehme, Kristopher W. Krausz, Frank J. Gonzalez, Preeti Pathak, Andrew D. Patterson, Cen Xie, Robert G. Nichols, Tiangang Li and Jie Cheng. Their work appears in journals such as SHILAP Revista de lepidopterología, Hepatology and International Journal of Molecular Sciences.
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.