Kalyani Daita

5.0k total citations · 5 hit papers
22 papers, 3.7k citations indexed

About

Kalyani Daita is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Kalyani Daita has authored 22 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 12 papers in Molecular Biology and 11 papers in Hepatology. Recurrent topics in Kalyani Daita's work include Liver Disease Diagnosis and Treatment (20 papers), Liver Disease and Transplantation (9 papers) and Gut microbiota and health (9 papers). Kalyani Daita is often cited by papers focused on Liver Disease Diagnosis and Treatment (20 papers), Liver Disease and Transplantation (9 papers) and Gut microbiota and health (9 papers). Kalyani Daita collaborates with scholars based in United States, Netherlands and France. Kalyani Daita's 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 and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Kalyani Daita

22 papers receiving 3.6k citations

Hit Papers

Altered profile of human gut microbiome is associated wit... 2012 2026 2016 2021 2013 2013 2012 2016 2017 250 500 750

Peers

Kalyani Daita
Pamela Monteith United States
Chathur Acharya United States
Veysel Tahan United States
Kalyani Daita
Citations per year, relative to Kalyani Daita Kalyani Daita (= 1×) peers Rubén Francés

Countries citing papers authored by Kalyani Daita

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Luo, Yi, Abdul M. Oseini, Isabelle Gagnon, et al.. (2018). An Evaluation of the Collagen Fragments Related to Fibrogenesis and Fibrolysis in Nonalcoholic Steatohepatitis. Scientific Reports. 8(1). 12414–12414. 57 indexed citations
2.
Puri, Prem, Kalyani Daita, Andrew Joyce, et al.. (2017). The presence and severity of nonalcoholic steatohepatitis is associated with specific changes in circulating bile acids. Hepatology. 67(2). 534–548. 325 indexed citations breakdown →
3.
Ahluwalia, Vishwadeep, Naga S. Betrapally, Phillip B. Hylemon, et al.. (2016). Impaired Gut-Liver-Brain Axis in Patients with Cirrhosis. Scientific Reports. 6(1). 26800–26800. 169 indexed citations
4.
Seneshaw, Mulugeta, Faridoddin Mirshahi, Hae‐Ki Min, et al.. (2016). Fast and Simplified Method for High Through-put Isolation of miRNA from Highly Purified High Density Lipoprotein. Journal of Visualized Experiments. 2 indexed citations
5.
Asgharpour, Amon, Sophie C. Cazanave, Tommy Pacana, et al.. (2016). A diet-induced animal model of non-alcoholic fatty liver disease and hepatocellular cancer. Journal of Hepatology. 65(3). 579–588. 395 indexed citations breakdown →
6.
Cazanave, Sophie C., Bubu A. Banini, Amon Asgharpour, et al.. (2016). Omega-3 Carboxylic Acids, Epanova®, and the Sodium-Glucose Co-Transporter 2 Inhibitor, Dapagliflozin®, Improve Steatohepatitis and Fibrosis Scoring in a Mouse Model of Non-Alcoholic Steatohepatitis. Journal of Hepatology. 64(2). S685–S685. 1 indexed citations
7.
Puri, Prem, Jun Xu, Terhi Vihervaara, et al.. (2016). Alcohol produces distinct hepatic lipidome and eicosanoid signature in lean and obese. Journal of Lipid Research. 57(6). 1017–1028. 20 indexed citations
8.
Potze, Wilma, Mohammad Shadab Siddiqui, Sherry Boyett, et al.. (2016). Preserved hemostatic status in patients with non-alcoholic fatty liver disease. Journal of Hepatology. 65(5). 980–987. 60 indexed citations
9.
Seneshaw, Mulugeta, Faridoddin Mirshahi, Hae‐Ki Min, et al.. (2016). Fast and Simplified Method for High Through-put Isolation of miRNA from Highly Purified High Density Lipoprotein. Journal of Visualized Experiments. 1 indexed citations
10.
Bajaj, Jasmohan S., Naga S. Betrapally, Phillip B. Hylemon, et al.. (2015). Gut Microbiota Alterations can predict Hospitalizations in Cirrhosis Independent of Diabetes Mellitus. Scientific Reports. 5(1). 18559–18559. 67 indexed citations
11.
Bajaj, Jasmohan S., Naga S. Betrapally, Phillip B. Hylemon, et al.. (2015). Salivary microbiota reflects changes in gut microbiota in cirrhosis with hepatic encephalopathy. Hepatology. 62(4). 1260–1271. 244 indexed citations
12.
13.
Potze, Wilma, Mohammad Shadab Siddiqui, Sherry Boyett, et al.. (2015). P1076 : Non-alcoholic fatty liver disease is not associated with plasma hypercoagulability. Journal of Hepatology. 62. S752–S753. 1 indexed citations
14.
Puri, Prem, Carol Sargeant, Leigh White, et al.. (2015). O044 : Distinct fecal and plasma bile acid metabolome of microbial origin characterizes human nonalcoholic fatty liver disease (NAFLD). Journal of Hepatology. 62. S210–S211. 1 indexed citations
15.
Bajaj, Jasmohan S., Douglas M. Heuman, Arun J. Sanyal, et al.. (2013). Modulation of the Metabiome by Rifaximin in Patients with Cirrhosis and Minimal Hepatic Encephalopathy. PLoS ONE. 8(4). e60042–e60042. 322 indexed citations
16.
Kakiyama, Genta, William M. Pandak, Patrick M. Gillevet, et al.. (2013). Modulation of the fecal bile acid profile by gut microbiota in cirrhosis. Journal of Hepatology. 58(5). 949–955. 619 indexed citations breakdown →
17.
Bajaj, Jasmohan S., Douglas M. Heuman, Phillip B. Hylemon, et al.. (2013). Altered profile of human gut microbiome is associated with cirrhosis and its complications. Journal of Hepatology. 60(5). 940–947. 810 indexed citations breakdown →
18.
Heuman, Douglas M., A. K. Sanyal, Phillip B. Hylemon, et al.. (2013). 192 RIFAXIMIN IMPROVES COGNITION AND ENDOTOXEMIA IN MINIMAL HEPATIC ENCEPHALOPATHY BY SHIFTING GUT MICROBIAL FUNCTIONALITY WITHOUT ALTERING THEIR ABUNDANCE. Journal of Hepatology. 58. S84–S85. 1 indexed citations
19.
Kakiyama, Genta, Jason M. Ridlon, Phillip B. Hylemon, et al.. (2012). 116 THE GUT MICROBIOME MODULATES FECAL BILE ACID PROFILE IN PATIENTS WITH CIRRHOSIS. Journal of Hepatology. 56. S51–S51. 2 indexed citations
20.
Bajaj, Jasmohan S., Phillip B. Hylemon, Jason M. Ridlon, et al.. (2012). Colonic mucosal microbiome differs from stool microbiome in cirrhosis and hepatic encephalopathy and is linked to cognition and inflammation. American Journal of Physiology-Gastrointestinal and Liver Physiology. 303(6). G675–G685. 414 indexed citations breakdown →

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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