Preeti Pathak
Impact in
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
- Co-authors
- John Y.L. Chiang (7 shared papers)Shannon Boehme (5 shared papers)Frank J. Gonzalez (2 shared papers)Cen Xie (2 shared papers)Kristopher W. Krausz (2 shared papers)Jessica M. Ferrell (3 shared papers)Hailiang Liu (3 shared papers)Robert G. Nichols (1 shared paper)
- Journals
- Hepatology (2 papers)Journal of Biological Chemistry (2 papers)Journal of Lipid Research (1 paper)Gene Expression (1 paper)Digestive Diseases (1 paper)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Preeti Pathak
17 papers receiving 1.1k citations
Preeti Pathak's Hit Papers
Peers
Comparison fields: 5 of 102
- Oncology 375
- Epidemiology 353
- Hepatology 78
- Biological Psychiatry 25
- Physiology 253
Countries citing papers authored by Preeti Pathak
This map shows the geographic impact of Preeti Pathak'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 Preeti Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preeti Pathak more than expected).
Fields of papers citing papers by Preeti Pathak
This network shows the impact of papers produced by Preeti Pathak. 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 Preeti Pathak. The network helps show where Preeti Pathak may publish in the future.
Co-authors
The 25 scholars most cited alongside Preeti Pathak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Intestine farnesoid X receptor agonist and the gut microbiota activate G‐protein bile acid receptor‐1 signaling to improve metabolism Hit paper breakdown → | 2018 | 429 |
| 2 | 2017 | 202 | |
| 3 | 2016 | 106 | |
| 4 | 1999 | 86 | |
| 5 | 2017 | 71 | |
| 6 | 2020 | 67 | |
| 7 | 2013 | 57 | |
| 8 | 2019 | 51 | |
| 9 | 2019 | 29 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 12 | |
| 12 | 2018 | 7 | |
| 13 | 2021 | 6 | |
| 14 | Image Compression Algorithms for Fingerprint System | 2010 | 4 |
| 15 | 2021 | 3 | |
| 16 | An Evanescent Microwave Probe for Super-Resolution Nondestructive Imaging of Metals, Semiconductors, Dielectrics, Composites and Biological Specimens | 1998 | 3 |
| 17 | 2016 | 1 | |
| 18 | 2002 | 0 |
About Preeti Pathak
Preeti Pathak is a scholar working on Surgery, Oncology, Epidemiology, Molecular Biology and Biomedical Engineering, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Cholesterol and Lipid Metabolism (5 papers), Epigenetics and DNA Methylation (3 papers), Microwave and Dielectric Measurement Techniques (2 papers), Near-Field Optical Microscopy (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers) and Bladder and Urothelial Cancer Treatments (1 paper). The work is most often cited by research in Oncology (375 citations), Epidemiology (353 citations), Hepatology (78 citations), Biological Psychiatry (25 citations) and Physiology (253 citations). Preeti Pathak has collaborated with scholars based in United States, India and Japan. Frequent co-authors include John Y.L. Chiang, Shannon Boehme, Frank J. Gonzalez, Cen Xie, Kristopher W. Krausz, Jessica M. Ferrell, Hailiang Liu, Robert G. Nichols, Andrew D. Patterson and Massood Tabib‐Azar. Their work appears in journals such as Hepatology, Journal of Biological Chemistry, Journal of Lipid Research, Gene Expression and Digestive Diseases.
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.