Monika Ray

2.6k total citations · 1 hit paper
21 papers, 1.8k citations indexed

About

Monika Ray is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Monika Ray has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Surgery and 4 papers in Physiology. Recurrent topics in Monika Ray's work include Bioinformatics and Genomic Networks (5 papers), Alzheimer's disease research and treatments (4 papers) and Gene expression and cancer classification (4 papers). Monika Ray is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Alzheimer's disease research and treatments (4 papers) and Gene expression and cancer classification (4 papers). Monika Ray collaborates with scholars based in United States, India and Syria. Monika Ray's co-authors include Paul S. Meltzer, Michael Bittner, Y Chen, Yan Su, Lolita Penland, Jeffrey M. Trent, Patrick O. Brown, Joseph L. DeRisi, Weixiong Zhang and Jianhua Ruan and has published in prestigious journals such as Nature Genetics, Spine and Genome biology.

In The Last Decade

Monika Ray

19 papers receiving 1.7k citations

Hit Papers

Use of a cDNA microarray to analyse gene expression patte... 1996 2026 2006 2016 1996 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monika Ray United States 7 1.3k 196 192 183 105 21 1.8k
Jiyong Wang China 25 1.5k 1.1× 149 0.8× 150 0.8× 133 0.7× 116 1.1× 55 2.0k
Lydie Lane Switzerland 31 2.1k 1.6× 208 1.1× 201 1.0× 195 1.1× 73 0.7× 59 2.7k
Marc Vaudel Norway 29 1.7k 1.3× 171 0.9× 228 1.2× 142 0.8× 105 1.0× 77 2.7k
Andreas Buneß Germany 24 991 0.7× 206 1.1× 116 0.6× 190 1.0× 52 0.5× 48 1.5k
Yvonne A. Evrard United States 19 1.5k 1.1× 307 1.6× 199 1.0× 283 1.5× 59 0.6× 39 2.1k
Douglas H. Phanstiel United States 18 1.6k 1.2× 166 0.8× 180 0.9× 134 0.7× 68 0.6× 41 2.0k
Francesca Sacco Italy 18 1.7k 1.3× 124 0.6× 134 0.7× 148 0.8× 166 1.6× 44 2.1k
Margaret M. Cavenagh United States 17 989 0.7× 152 0.8× 150 0.8× 274 1.5× 66 0.6× 22 1.7k

Countries citing papers authored by Monika Ray

Since Specialization
Citations

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

Fields of papers citing papers by Monika Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Monika Ray. A scholar is included among the top collaborators of Monika Ray 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 Monika Ray. Monika Ray 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.
Ray, Monika, Joshua J. Fenton, & Patrick S. Romano. (2025). Unsupervised machine learning identifies opioid taper reversal patterns in a longitudinal cohort (2008–2018). PLOS Digital Health. 4(4). e0000785–e0000785.
2.
Smith‐Bindman, Rebecca, Yifei Wang, Carly Stewart, et al.. (2024). Improving the Safety of Computed Tomography Through Automated Quality Measurement. Investigative Radiology. 59(8). 569–576. 3 indexed citations
3.
Ray, Monika, et al.. (2024). Flaxseed: The marvel of nature for humanity. International Journal of Advanced Biochemistry Research. 8(6). 450–458.
4.
Ray, Monika, et al.. (2023). Improving hospital quality risk-adjustment models using interactions identified by hierarchical group lasso regularisation. BMC Health Services Research. 23(1). 1419–1419. 1 indexed citations
5.
Fenton, Joshua J., Monika Ray, J. Declan Kennedy, et al.. (2023). Longitudinal Care Patterns and Utilization Among Patients With New-Onset Neck Pain by Initial Provider Specialty. Spine. 48(20). 1409–1418. 7 indexed citations
6.
Ray, Monika, et al.. (2022). Modeling and forecasting metrological factors using BATS and TBATS models for Keonjhar district of Orissa. MAUSAM. 73(3). 555–564. 6 indexed citations
7.
Ray, Monika. (2016). Validation of medium range weather forecast for Keonjhar district of Odisha. 7(2). 161–166. 1 indexed citations
8.
Rocke, David M., et al.. (2014). Differential Network Analyses of Alzheimer’s Disease Identify Early Events in Alzheimer’s Disease Pathology. International Journal of Alzheimer s Disease. 2014. 1–18. 14 indexed citations
9.
Ray, Monika, et al.. (2012). Comparison of low and high dose ionising radiation using topological analysis of gene coexpression networks. BMC Genomics. 13(1). 190–190. 24 indexed citations
10.
Ray, Monika & Weixiong Zhang. (2010). Analysis of Alzheimer's disease severity across brain regions by topological analysis of gene co-expression networks. BMC Systems Biology. 4(1). 136–136. 64 indexed citations
11.
Ray, Monika & Weixiong Zhang. (2009). Integrating Gene Expression and Phenotypic Information to Analyze Alzheimer's Disease. Journal of Alzheimer s Disease. 16(1). 73–84. 5 indexed citations
12.
Ray, Monika, Jianhua Ruan, & Weixiong Zhang. (2008). Variations in the transcriptome of Alzheimer's disease reveal molecular networks involved in cardiovascular diseases. Genome biology. 9(10). R148–R148. 93 indexed citations
13.
Ray, Monika, Sekhar Dharmarajan, Johannes Freudenberg, Weixiong Zhang, & G. Alexander Patterson. (2007). Expression Profiling of Human Donor Lungs to Understand Primary Graft Dysfunction After Lung Transplantation. American Journal of Transplantation. 7(10). 2396–2405. 32 indexed citations
14.
Ray, Monika. (2007). Single cell expression profiling reveals major disruption of DNA repair capacity in incipient Alzheimer's Disease. Open Scholarship Institutional Repository (Washington University in St. Louis). 1 indexed citations
15.
Ray, Monika, Sekhar Dharmarajan, Johannes Freudenberg, G. Alexander Patterson, & Weixiong Zhang. (2007). Gene expression profiling and machine learning to understand and predict primary graft dysfunction. 58. 1076–1080. 1 indexed citations
16.
Ray, Monika & Naveen K. Atray. (2005). Support Vector Machine for Determining Dose of Dialysis. PubMed. 4. 3186–3189. 3 indexed citations
17.
Ray, Monika & Uvais Qidwai. (2004). Artificial intelligence approach to determine minimum dose of haemodialysis. 1. 137–142. 3 indexed citations
18.
Duttagupta, Chandralekha, Jayasri Basu, Monika Ray, & Seymour L. Romney. (2001). Apoptotic Changes in Cervical Intraepithelial Neoplasia. Gynecologic and Obstetric Investigation. 52(1). 38–42. 3 indexed citations
19.
Sengupta, Debapriya, Chandralekha Duttagupta, Subhayu Bandyopadhyay, et al.. (2000). An Exploratory Statistical Analysis of the effect of Demographic risk factors on uterine Cervical squamous Intraepithelial Lesion. Calcutta Statistical Association Bulletin. 50(3-4). 307–324. 1 indexed citations
20.
DeRisi, Joseph L., Lolita Penland, Patrick O. Brown, et al.. (1996). Use of a cDNA microarray to analyse gene expression patterns in human cancer. Nature Genetics. 14(4). 457–460. 1517 indexed citations breakdown →

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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