Preeti Pathak

1.5k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Preeti Pathak is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Preeti Pathak has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in Preeti Pathak's work include Drug Transport and Resistance Mechanisms (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Cholesterol and Lipid Metabolism (5 papers). Preeti Pathak is often cited by papers focused on Drug Transport and Resistance Mechanisms (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Cholesterol and Lipid Metabolism (5 papers). Preeti Pathak collaborates with scholars based in United States, India and United Arab Emirates. Preeti Pathak's co-authors include John Y.L. Chiang, Shannon Boehme, Frank J. Gonzalez, Kristopher W. Krausz, Cen Xie, Jessica M. Ferrell, Hailiang Liu, Robert G. Nichols, Andrew D. Patterson and Massood Tabib‐Azar and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Preeti Pathak

17 papers receiving 1.1k citations

Hit Papers

Intestine farnesoid X receptor agonist and the gut microb... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Preeti Pathak United States 11 475 394 388 272 267 18 1.1k
Yufeng Lin China 17 651 1.4× 216 0.5× 161 0.4× 159 0.6× 229 0.9× 42 1.2k
Caroline Sands United Kingdom 18 554 1.2× 101 0.3× 172 0.4× 202 0.7× 311 1.2× 37 1.3k
Qi‐Kui Chen China 19 677 1.4× 224 0.6× 153 0.4× 306 1.1× 182 0.7× 39 1.3k
Jingli Lü China 20 360 0.8× 150 0.4× 218 0.6× 237 0.9× 170 0.6× 59 1.2k
Zhanguo Liu China 14 584 1.2× 147 0.4× 252 0.6× 101 0.4× 81 0.3× 40 1.3k
Jin Ye China 18 446 0.9× 120 0.3× 245 0.6× 197 0.7× 211 0.8× 63 1.0k
Xiaohua Jin United States 19 360 0.8× 135 0.3× 194 0.5× 370 1.4× 193 0.7× 33 1.6k

Countries citing papers authored by Preeti Pathak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Preeti Pathak

This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Pathak. A scholar is included among the top collaborators of Preeti Pathak 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 Preeti Pathak. Preeti Pathak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Dalton, George D., Seh‐Hoon Oh, Linda Tang, et al.. (2021). Hepatocyte activity of the cholesterol sensor smoothened regulates cholesterol and bile acid homeostasis in mice. iScience. 24(9). 103089–103089. 6 indexed citations
3.
Pathak, Preeti, Robert N. Helsley, Amanda L. Brown, et al.. (2020). Small molecule inhibition of gut microbial choline trimethylamine lyase activity alters host cholesterol and bile acid metabolism. American Journal of Physiology-Heart and Circulatory Physiology. 318(6). H1474–H1486. 65 indexed citations
4.
Jaipuria, Jiten, Preeti Pathak, Girish Sharma, et al.. (2020). Adjuvant radiation compares favorably to chemotherapy in patients with carcinoma penis and nodal positivity restricted to groin. Urologic Oncology Seminars and Original Investigations. 38(7). 641.e9–641.e18. 12 indexed citations
5.
Han, Shuxin, Preeti Pathak, David R. Sweet, et al.. (2019). KLF15 regulates endobiotic and xenobiotic metabolism. Nature Metabolism. 1(4). 422–430. 16 indexed citations
6.
Ferrell, Jessica M., et al.. (2019). Deficiency of Both Farnesoid X Receptor and Takeda G Protein–Coupled Receptor 5 Exacerbated Liver Fibrosis in Mice. Hepatology. 70(3). 955–970. 49 indexed citations
7.
Pathak, Preeti & John Y.L. Chiang. (2019). Sterol 12α-Hydroxylase Aggravates Dyslipidemia by Activating the Ceramide/mTORC1/SREBP-1C Pathway via FGF21 and FGF15. Gene Expression. 19(3). 161–173. 28 indexed citations
8.
Dewan, Abhinav, Ajay Kumar Dewan, Ramandeep Singh Narang, et al.. (2018). Simultaneous integrated boost by Intensity Modulated Radiotherapy (SIB-IMRT) in patients undergoing breast conserving surgery – A clinical and dosimetric perspective. Journal of the Egyptian National Cancer Institute. 30(4). 165–171. 7 indexed citations
9.
Pathak, Preeti, Cen Xie, Robert G. Nichols, et al.. (2018). Intestine farnesoid X receptor agonist and the gut microbiota activate G‐protein bile acid receptor‐1 signaling to improve metabolism. Hepatology. 68(4). 1574–1588. 410 indexed citations breakdown →
10.
Pathak, Preeti, Hailiang Liu, Shannon Boehme, et al.. (2017). Farnesoid X receptor induces Takeda G-protein receptor 5 cross-talk to regulate bile acid synthesis and hepatic metabolism. Journal of Biological Chemistry. 292(26). 11055–11069. 189 indexed citations
11.
Chiang, John Y.L., Preeti Pathak, Hailiang Liu, et al.. (2017). Intestinal Farnesoid X Receptor and Takeda G Protein Couple Receptor 5 Signaling in Metabolic Regulation. Digestive Diseases. 35(3). 241–245. 70 indexed citations
12.
Liu, Hailiang, Preeti Pathak, Shannon Boehme, & John Y.L. Chiang. (2016). Cholesterol 7α-hydroxylase protects the liver from inflammation and fibrosis by maintaining cholesterol homeostasis. Journal of Lipid Research. 57(10). 1831–1844. 102 indexed citations
13.
Joshi, Rohit, et al.. (2016). Temperature and power efficient scheduling for cloud data centers: Green approach. 441–444. 1 indexed citations
14.
Pathak, Preeti, Tiangang Li, & John Y.L. Chiang. (2013). Retinoic Acid-related Orphan Receptor α Regulates Diurnal Rhythm and Fasting Induction of Sterol 12α-Hydroxylase in Bile Acid Synthesis. Journal of Biological Chemistry. 288(52). 37154–37165. 55 indexed citations
15.
Pathak, Preeti. (2010). Image Compression Algorithms for Fingerprint System. 4 indexed citations
16.
Katz, J. Lawrence, et al.. (2002). Electro-mechanical studies of skeletal tissues at high resolution. 6. 2921–2923.
17.
Tabib‐Azar, Massood, Preeti Pathak, George E. Ponchak, & Steven R. LeClair. (1999). Nondestructive superresolution imaging of defects and nonuniformities in metals, semiconductors, dielectrics, composites, and plants using evanescent microwaves. Review of Scientific Instruments. 70(6). 2783–2792. 79 indexed citations
18.
Pathak, Preeti, Massood Tabib‐Azar, & George E. Ponchak. (1998). An Evanescent Microwave Probe for Super-Resolution Nondestructive Imaging of Metals, Semiconductors, Dielectrics, Composites and Biological Specimens. NASA STI Repository (National Aeronautics and Space Administration). 3 indexed citations

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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