Preethi Krishnan

703 total citations
25 papers, 519 citations indexed

About

Preethi Krishnan is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Preethi Krishnan has authored 25 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Surgery. Recurrent topics in Preethi Krishnan's work include MicroRNA in disease regulation (7 papers), Pancreatic function and diabetes (7 papers) and Diet and metabolism studies (3 papers). Preethi Krishnan is often cited by papers focused on MicroRNA in disease regulation (7 papers), Pancreatic function and diabetes (7 papers) and Diet and metabolism studies (3 papers). Preethi Krishnan collaborates with scholars based in United States, Canada and India. Preethi Krishnan's co-authors include Sambasivarao Damaraju, Olga Kovalchuk, Sunita Ghosh, John R. Mackey, Kathryn Graham, Carmella Evans‐Molina, Farooq Syed, Bo Wang, Raghavendra G. Mirmira and Dongping Li and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Preethi Krishnan

25 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Preethi Krishnan United States 12 334 215 98 77 67 25 519
Xiaoling Zhao China 13 320 1.0× 157 0.7× 108 1.1× 72 0.9× 53 0.8× 23 592
Cibele C. Cardoso Brazil 14 234 0.7× 83 0.4× 24 0.2× 43 0.6× 32 0.5× 24 461
Juncheng Li China 14 216 0.6× 114 0.5× 63 0.6× 54 0.7× 9 0.1× 38 507
Xiaosa Li China 13 670 2.0× 96 0.4× 79 0.8× 43 0.6× 173 2.6× 22 888
Yuwei Chen China 14 437 1.3× 153 0.7× 42 0.4× 59 0.8× 16 0.2× 30 634
Eun Young Seo South Korea 13 246 0.7× 39 0.2× 79 0.8× 82 1.1× 38 0.6× 31 579
Fengyan Deng United States 13 281 0.8× 86 0.4× 126 1.3× 43 0.6× 14 0.2× 22 523
Pengjun Wang China 9 450 1.3× 344 1.6× 20 0.2× 53 0.7× 18 0.3× 26 687
Wenlong Xu China 10 200 0.6× 127 0.6× 76 0.8× 35 0.5× 50 0.7× 23 336

Countries citing papers authored by Preethi Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Preethi Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preethi Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Preethi Krishnan. A scholar is included among the top collaborators of Preethi Krishnan 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 Krishnan. Preethi Krishnan 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.
Krishnan, Preethi, et al.. (2024). miR-146a-5p mediates inflammation-induced β cell mitochondrial dysfunction and apoptosis. Journal of Biological Chemistry. 300(11). 107827–107827. 3 indexed citations
2.
Kono, Tatsuyoshi, Preethi Krishnan, Renato Chaves Souto Branco, et al.. (2023). SERCA2 regulates proinsulin processing and processing enzyme maturation in pancreatic beta cells. Diabetologia. 66(11). 2042–2061. 11 indexed citations
3.
Biswas, Moanaro, Thaís B. Bertolini, Preethi Krishnan, et al.. (2023). Distinct functions and transcriptional signatures in orally induced regulatory T cell populations. Frontiers in Immunology. 14. 1278184–1278184. 3 indexed citations
4.
Syed, Farooq, Koen Raedschelders, Preethi Krishnan, et al.. (2022). A discovery-based proteomics approach identifies protein disulphide isomerase (PDIA1) as a biomarker of β cell stress in type 1 diabetes. EBioMedicine. 87. 104379–104379. 11 indexed citations
5.
Krishnan, Preethi, et al.. (2020). Periodontal approach in the management of alveolar cleft. Journal of Indian Society of Periodontology. 24(5). 481–481. 2 indexed citations
6.
Krishnan, Preethi, et al.. (2020). Evaluation of deoxypyridinoline levels in gingival crevicular fluid and serum as alveolar bone loss biomarker in patients with periodontitis. Journal of Indian Society of Periodontology. 24(4). 322–322. 4 indexed citations
7.
Bone, Robert N., et al.. (2020). A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes. Diabetes. 69(11). 2364–2376. 28 indexed citations
8.
Krishnan, Preethi, Viswanathan Rajagopalan, & Bashir I. Morshed. (2020). ANovel Severity Index of Heart Disease from Beat-wise Analysis of ECG Using Fuzzy Logic for Smart-Health. 1–5. 5 indexed citations
9.
10.
Krishnan, Preethi, et al.. (2019). Profiling of RNAs from Human Islet-Derived Exosomes in a Model of Type 1 Diabetes. PMC. 1 indexed citations
11.
Krishnan, Preethi, Carol E. Cass, Roland Hubaux, et al.. (2018). Breast cancer associated germline structural variants harboring small noncoding RNAs impact post-transcriptional gene regulation. Scientific Reports. 8(1). 7529–7529. 11 indexed citations
12.
Gossain, Ved V., et al.. (2018). Cushing’s syndrome with no clinical stigmata – a variant of glucocorticoid resistance syndrome. SHILAP Revista de lepidopterología. 4(1). 23–23. 2 indexed citations
13.
Krishnan, Preethi & Sambasivarao Damaraju. (2018). The Challenges and Opportunities in the Clinical Application of Noncoding RNAs: The Road Map for miRNAs and piRNAs in Cancer Diagnostics and Prognostics. International Journal of Genomics. 2018. 1–18. 41 indexed citations
14.
Krishnan, Preethi, Sunita Ghosh, Bo Wang, et al.. (2016). Profiling of Small Nucleolar RNAs by Next Generation Sequencing: Potential New Players for Breast Cancer Prognosis. PLoS ONE. 11(9). e0162622–e0162622. 57 indexed citations
15.
Krishnan, Preethi, Sunita Ghosh, Bo Wang, et al.. (2016). Genome-wide profiling of transfer RNAs and their role as novel prognostic markers for breast cancer. Scientific Reports. 6(1). 32843–32843. 37 indexed citations
16.
Krishnan, Preethi, Sunita Ghosh, Kathryn Graham, et al.. (2016). Piwi-interacting RNAs and PIWI genes as novel prognostic markers for breast cancer. Oncotarget. 7(25). 37944–37956. 76 indexed citations
17.
Krishnan, Preethi, Sunita Ghosh, Bo Wang, et al.. (2015). Next generation sequencing profiling identifies miR-574-3p and miR-660-5p as potential novel prognostic markers for breast cancer. BMC Genomics. 16(1). 735–735. 66 indexed citations
18.
Efthimiou, Petros, et al.. (2010). Clinical Image: Posterior reversible encephalopathy syndrome as a severe manifestation of neuropsychiatric systemic lupus erythematosus. Arthritis & Rheumatism. 62(6). 1692–1692. 1 indexed citations
19.
Krishnan, Preethi. (2006). The scientific study of herbal wound healing therapies: Current state of play. Current Anaesthesia and Critical Care. 17(1-2). 21–27. 62 indexed citations
20.
Krishnan, Preethi, et al.. (2005). Effect of low-dose omega-3 fatty acids substitution on blood pressure, hyperinsulinemia and dyslipidemia in Indians with essential hypertension: A pilot study. Indian Journal of Clinical Biochemistry. 20(2). 4–9. 4 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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