Preethi Chandrasekaran

1.1k citations
23 papers · 518 indexed · 3 hit papers · h-index 9
Topics
Advanced MRI Techniques and Applications (4 papers)Liver Disease Diagnosis and Treatment (3 papers)Lipid metabolism and biosynthesis (3 papers)

In The Last Decade

Preethi Chandrasekaran

22 papers receiving 511 citations

Hit Papers

The Role of Obesity in Type 2 Diabetes Mellitus—An Overview20242026202520242024202450100150

Peers

Preethi Chandrasekaran
Comparison fields: 5 of 86
  • Molecular Biology 187
  • Physiology 131
  • Endocrinology, Diabetes and Metabolism 125
  • Epidemiology 107
  • Surgery 59
Replace Sara Straniero with:
Sara Straniero Sweden
Sahar K. Hegazy Egypt
Long Cheng China
Sophie Hellstrand Sweden
Xinfeng Yan China
Davood Soleimani Iran
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Citations per field
00.5×6.2×
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Citations per year

Countries citing papers authored by Preethi Chandrasekaran

Since Specialization
Citations

This map shows the geographic impact of Preethi Chandrasekaran'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 Preethi Chandrasekaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preethi Chandrasekaran more than expected).

Fields of papers citing papers by Preethi Chandrasekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Preethi Chandrasekaran. 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 Preethi Chandrasekaran. The network helps show where Preethi Chandrasekaran may publish in the future.

Co-authorship network of co-authors of Preethi Chandrasekaran

This figure shows the co-authorship network connecting the top 25 collaborators of Preethi Chandrasekaran. A scholar is included among the top collaborators of Preethi Chandrasekaran 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 Preethi Chandrasekaran. Preethi Chandrasekaran 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
#WorkIndexed citations
1 0
2 2
3 1
4 2
5 13
6 40
7
The Role of SCAP/SREBP as Central Regulators of Lipid Metabolism in Hepatic Steatosisbreakdown →
41
8 4
9 3
10 3
11
The Role of Obesity in Type 2 Diabetes Mellitus—An Overviewbreakdown →
156
12 7
13 1
14 11
15 16
16
Effects of Probiotics on Gut Microbiota: An Overviewbreakdown →
148
17 4
18 2
19 43
20 3

About Preethi Chandrasekaran

Preethi Chandrasekaran is a scholar working on Biochemistry, Complementary and alternative medicine and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 518 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (125 citations), Physiology (131 citations) and Biochemistry (33 citations). Preethi Chandrasekaran has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Ralf Weiskirchen, Sabine Weiskirchen, Mingfeng Xia, Shunxing Rong, Xiaorong Fu, Matthew A. Mitsche, Azita H. Talasaz, Dave L. Dixon, Roy Brown and Anurag Mehta. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Lipid Research.

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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