Elena Flowers

1.7k total citations
59 papers, 959 citations indexed

About

Elena Flowers is a scholar working on Molecular Biology, Cancer Research and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Elena Flowers has authored 59 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Cancer Research and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Elena Flowers's work include MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (17 papers) and Circular RNAs in diseases (13 papers). Elena Flowers is often cited by papers focused on MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (17 papers) and Circular RNAs in diseases (13 papers). Elena Flowers collaborates with scholars based in United States, Russia and Poland. Elena Flowers's co-authors include Bradley E. Aouizerat, Yoshimi Fukuoka, Erika Sivarajan Froelicher, Alka M. Kanaya, Anil Aswani, Kord M. Kober, Philip Kaminsky, Christine Miaskowski, Gerald M. Reaven and Ken Goldberg and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Elena Flowers

59 papers receiving 948 citations

Peers

Elena Flowers
Susan Park South Korea
Rute Vieira United Kingdom
W Feero United States
Brandon George United States
Elena Flowers
Citations per year, relative to Elena Flowers Elena Flowers (= 1×) peers Christoph Nowak

Countries citing papers authored by Elena Flowers

Since Specialization
Citations

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

Fields of papers citing papers by Elena Flowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Flowers

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Flowers. A scholar is included among the top collaborators of Elena Flowers 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 Elena Flowers. Elena Flowers 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.
Aouizerat, Bradley E., et al.. (2023). Review of databases for experimentally validated human microRNA–mRNA interactions. Database. 2023. 21 indexed citations
2.
Lewis, Kimberly, Lisa Chang, Bradley E. Aouizerat, et al.. (2023). Systematic review of transcriptome and microRNAome associations with gestational diabetes mellitus. Frontiers in Endocrinology. 13. 7 indexed citations
3.
Clark, Kristen D., Mitchell R. Lunn, Elena Flowers, et al.. (2022). Healthcare Mistreatment, State-Level Policy Protections, and Healthcare Avoidance Among Gender Minority People. Sexuality Research and Social Policy. 19(4). 1717–1730. 31 indexed citations
4.
Flowers, Elena, et al.. (2021). Circulating microRNAs associated with prediabetes and geographic location in Latinos. International Journal of Diabetes in Developing Countries. 41(4). 570–578. 5 indexed citations
5.
Flowers, Elena, Isabel Elaine Allen, Alka M. Kanaya, & Bradley E. Aouizerat. (2021). Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention. Biomarker Research. 9(1). 65–65. 8 indexed citations
6.
Singh, Komal, Anand Dhruva, Elena Flowers, et al.. (2020). Alterations in Patterns of Gene Expression and Perturbed Pathways in the Gut-Brain Axis Are Associated With Chemotherapy-Induced Nausea. Journal of Pain and Symptom Management. 59(6). 1248–1259.e5. 14 indexed citations
7.
Singh, Namrata, Rebecca J. Baer, Jeffrey A. Sparks, et al.. (2020). Pregnancy after bariatric surgery in women with rheumatic diseases and association with adverse birth outcomes. Surgery for Obesity and Related Diseases. 17(2). 406–413. 3 indexed citations
8.
Flowers, Elena, Heather Leutwyler, & Janet K. Shim. (2020). Direct-to-consumer genomic testing. Nursing. 50(8). 48–52. 8 indexed citations
9.
Flowers, Elena, et al.. (2019). Pairing pedagogical and genomic advances to prepare advanced practice nurses for the era of precision health. BMC Medical Education. 19(1). 112–112. 6 indexed citations
10.
Ross, Kharah M., Christine Dunkel Schetter, Monica R. McLemore, et al.. (2019). Socioeconomic Status, Preeclampsia Risk and Gestational Length in Black and White Women. Journal of Racial and Ethnic Health Disparities. 6(6). 1182–1191. 68 indexed citations
11.
Kober, Kord M., Adam W. Carrico, Torsten B. Neilands, et al.. (2018). Minority stress and leukocyte gene expression in sexual minority men living with treated HIV infection. Brain Behavior and Immunity. 70. 335–345. 26 indexed citations
12.
Ross, Kharah M., Rebecca J. Baer, Kelli K. Ryckman, et al.. (2018). Second trimester inflammatory and metabolic markers in women delivering preterm with and without preeclampsia. Journal of Perinatology. 39(2). 314–320. 15 indexed citations
13.
Carrico, Adam W., Kord M. Kober, Sulggi A. Lee, et al.. (2018). Recent stimulant use and leukocyte gene expression in methamphetamine users with treated HIV infection. Brain Behavior and Immunity. 71. 108–115. 26 indexed citations
14.
Fukuoka, Yoshimi, et al.. (2018). Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial. JMIR mhealth and uhealth. 6(1). e28–e28. 70 indexed citations
15.
Flowers, Elena, Meghana Gadgil, Bradley E. Aouizerat, & Alka M. Kanaya. (2015). Circulating micrornas associated with glycemic impairment and progression in Asian Indians. Biomarker Research. 3(1). 22–22. 30 indexed citations
16.
Flowers, Elena, Bradley E. Aouizerat, Fahim Abbasi, et al.. (2015). Circulating microRNA-320a and microRNA-486 predict thiazolidinedione response: Moving towards precision health for diabetes prevention. Metabolism. 64(9). 1051–1059. 58 indexed citations
17.
Flowers, Elena, César Molina, Ashish Mathur, & Gerald M. Reaven. (2015). Use of plasma triglyceride/high-density lipoprotein cholesterol ratio to identify increased cardio-metabolic risk in young, healthy South Asians. The Indian Journal of Medical Research. 141(1). 68–68. 17 indexed citations
18.
Flowers, Elena, César Molina, Ashish Mathur, & Gerald M. Reaven. (2013). Adiposity and Cardiovascular Risk Clustering in South Asians. Metabolic Syndrome and Related Disorders. 11(6). 434–440. 9 indexed citations
19.
Flowers, Elena. (2012). Unique Cardiovascular Risk Profiles in US South Asians: From Epidemiology to Epigenetic Biomarker Discovery. eScholarship (California Digital Library). 1 indexed citations
20.
Flowers, Elena, César Molina, Ashish Mathur, et al.. (2010). Prevalence of Metabolic Syndrome in South Asians Residing in the United States. Metabolic Syndrome and Related Disorders. 8(5). 417–423. 22 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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