Kalyani Daita
- Epidemiology top 1%
- Molecular Biology top 5%
- Hepatology top 0.5%
- Physiology top 5%
- Surgery top 5%
- Co-authors
- Phillip B. HylemonMelanie B. WhiteDouglas M. HeumanJasmohan S. BajajMasoumeh SikaroodiPatrick M. GillevetNicole A. NoblePamela Monteith
- Topics
- Liver Disease Diagnosis and Treatment (20 papers)Liver Disease and Transplantation (9 papers)Gut microbiota and health (9 papers)
- Journals
- PLoS ONEHepatologyScientific Reports
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Kalyani Daita
22 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Epidemiology 2.4k
- Molecular Biology 1.9k
- Hepatology 1.4k
- Physiology 751
- Surgery 612
Countries citing papers authored by Kalyani Daita
This map shows the geographic impact of Kalyani Daita'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 Kalyani Daita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalyani Daita more than expected).
Fields of papers citing papers by Kalyani Daita
This network shows the impact of papers produced by Kalyani Daita. 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 Kalyani Daita. The network helps show where Kalyani Daita may publish in the future.
Co-authorship network of co-authors of Kalyani Daita
This figure shows the co-authorship network connecting the top 25 collaborators of Kalyani Daita. A scholar is included among the top collaborators of Kalyani Daita 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 Kalyani Daita. Kalyani Daita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | The presence and severity of nonalcoholic steatohepatitis is associated with specific changes in circulating bile acidsbreakdown → | 325 |
| 3 | 169 | |
| 4 | 2 | |
| 5 | A diet-induced animal model of non-alcoholic fatty liver disease and hepatocellular cancerbreakdown → | 395 |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 60 | |
| 9 | 1 | |
| 10 | 67 | |
| 11 | 244 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 322 | |
| 16 | Modulation of the fecal bile acid profile by gut microbiota in cirrhosisbreakdown → | 619 |
| 17 | Altered profile of human gut microbiome is associated with cirrhosis and its complicationsbreakdown → | 810 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Colonic mucosal microbiome differs from stool microbiome in cirrhosis and hepatic encephalopathy and is linked to cognition and inflammationbreakdown → | 414 |
About Kalyani Daita
Kalyani Daita is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 3.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Liver Disease and Transplantation (9 papers) and Gut microbiota and health (9 papers). The work is most often cited by research in Hepatology (1.4k citations), Epidemiology (2.4k citations) and Gastroenterology (213 citations). Kalyani Daita has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Phillip B. Hylemon, Melanie B. White, Douglas M. Heuman, Jasmohan S. Bajaj, Masoumeh Sikaroodi, Patrick M. Gillevet, Nicole A. Noble, Pamela Monteith, Arun J. Sanyal and Ariel Unser. Their work appears in journals such as PLoS ONE, Hepatology and Scientific Reports.
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.