Cassie L. Behrendt
- Molecular Biology top 2%
- Immunology top 2%
- Infectious Diseases top 2%
- Food Science top 1%
- Physiology top 5%
- Co-authors
- Lora V. HooperShipra VaishnavaLars EckmannKelly A. RuhnMaria G. WinterSebastian WinterFelix YarovinskyLuisella Spiga
- Topics
- Gut microbiota and health (14 papers)Probiotics and Fermented Foods (4 papers)Immune Response and Inflammation (4 papers)
- Partner nations
- United StatesBrazilItaly
In The Last Decade
Cassie L. Behrendt
20 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 2.6k
- Immunology 1.0k
- Infectious Diseases 948
- Food Science 668
- Physiology 571
Countries citing papers authored by Cassie L. Behrendt
This map shows the geographic impact of Cassie L. Behrendt'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 Cassie L. Behrendt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cassie L. Behrendt more than expected).
Fields of papers citing papers by Cassie L. Behrendt
This network shows the impact of papers produced by Cassie L. Behrendt. 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 Cassie L. Behrendt. The network helps show where Cassie L. Behrendt may publish in the future.
Co-authorship network of co-authors of Cassie L. Behrendt
This figure shows the co-authorship network connecting the top 25 collaborators of Cassie L. Behrendt. A scholar is included among the top collaborators of Cassie L. Behrendt 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 Cassie L. Behrendt. Cassie L. Behrendt 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 | The gut microbiota reprograms intestinal lipid metabolism through long noncoding RNA Snhg9breakdown → | 102 |
| 4 | 61 | |
| 5 | 151 | |
| 6 | Dietary simple sugars alter microbial ecology in the gut and promote colitis in micebreakdown → | 223 |
| 7 | 75 | |
| 8 | 232 | |
| 9 | 41 | |
| 10 | Precision editing of the gut microbiota ameliorates colitisbreakdown → | 425 |
| 11 | 40 | |
| 12 | 123 | |
| 13 | 245 | |
| 14 | 43 | |
| 15 | 72 | |
| 16 | 243 | |
| 17 | 167 | |
| 18 | 177 | |
| 19 | Paneth cells directly sense gut commensals and maintain homeostasis at the intestinal host-microbial interfacebreakdown → | 771 |
| 20 | Symbiotic Bacteria Direct Expression of an Intestinal Bactericidal Lectinbreakdown → | 1085 |
About Cassie L. Behrendt
Cassie L. Behrendt is a scholar working on Molecular Medicine, Microbiology and Endocrine and Autonomic Systems, having authored 21 papers that have together received 4.3k indexed citations. Recurring topics across this work include Gut microbiota and health (14 papers), Probiotics and Fermented Foods (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Biological Psychiatry (145 citations), Gastroenterology (290 citations) and Infectious Diseases (948 citations). Cassie L. Behrendt has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include Lora V. Hooper, Shipra Vaishnava, Lars Eckmann, Kelly A. Ruhn, Maria G. Winter, Sebastian Winter, Felix Yarovinsky, Luisella Spiga, Wenhan Zhu and Elizabeth R. Hughes. Their work appears in journals such as Nature, Science and 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.