Vinay Raj

403 total citations
17 papers, 294 citations indexed

About

Vinay Raj is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Vinay Raj has authored 17 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Vinay Raj's work include MicroRNA in disease regulation (3 papers), Cancer Treatment and Pharmacology (2 papers) and Neutropenia and Cancer Infections (2 papers). Vinay Raj is often cited by papers focused on MicroRNA in disease regulation (3 papers), Cancer Treatment and Pharmacology (2 papers) and Neutropenia and Cancer Infections (2 papers). Vinay Raj collaborates with scholars based in United States, Germany and Denmark. Vinay Raj's co-authors include Susan Kadlubar, Jawahar L. Mehta, Magomed Khaidakov, Giuseppe Novelli, Adam R. Brown, Frank A. Simmen, Rosalia C.M. Simmen, Stewart L. MacLeod, Xianwei Wang and Sona Mitra and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Carcinogenesis.

In The Last Decade

Vinay Raj

17 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vinay Raj United States	10	134	96	52	50	50	17	294
You Zou China	12	182 1.4×	98 1.0×	35 0.7×	73 1.5×	59 1.2×	25	396
Yunmeng Bai China	11	173 1.3×	81 0.8×	84 1.6×	73 1.5×	48 1.0×	30	387
Huijie Miao China	11	214 1.6×	123 1.3×	59 1.1×	43 0.9×	47 0.9×	20	373
Yingwei Zhu China	11	129 1.0×	67 0.7×	35 0.7×	53 1.1×	73 1.5×	30	302
Iain Ewing United Kingdom	5	95 0.7×	60 0.6×	35 0.7×	30 0.6×	99 2.0×	11	289
Sung Gil South Korea	7	243 1.8×	77 0.8×	29 0.6×	59 1.2×	103 2.1×	11	351
Xing Xiao China	9	209 1.6×	121 1.3×	50 1.0×	42 0.8×	50 1.0×	22	326
Emily Watts United Kingdom	5	81 0.6×	74 0.8×	66 1.3×	33 0.7×	28 0.6×	8	242
Yiwen Sang China	10	131 1.0×	72 0.8×	56 1.1×	31 0.6×	67 1.3×	19	278
Tyrell N. Cartwright United Kingdom	6	157 1.2×	74 0.8×	83 1.6×	31 0.6×	45 0.9×	10	316

Countries citing papers authored by Vinay Raj

Since Specialization

Citations

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

Fields of papers citing papers by Vinay Raj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinay Raj

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

All Works

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17 of 17 papers shown

Park, Yong‐Moon, Wonyoung Jung, Yohwan Yeo, et al.. (2024). Mid- and long-term risk of atrial fibrillation among breast cancer surgery survivors. BMC Medicine. 22(1). 88–88. 5 indexed citations

Makhoul, Issam, Valentina K. Todorova, Eric R. Siegel, et al.. (2017). Germline Genetic Variants in TEK, ANGPT1, ANGPT2, MMP9, FGF2 and VEGFA Are Associated with Pathologic Complete Response to Bevacizumab in Breast Cancer Patients. PLoS ONE. 12(1). e0168550–e0168550. 14 indexed citations

Basnakian, Alexei G., Mohammed S. Orloff, Baitang Ning, et al.. (2016). 2-amino-1-methyl-6-phenylimidazo(4,5-b) pyridine (PhIP) induces gene expression changes in JAK/STAT and MAPK pathways related to inflammation, diabetes and cancer. Nutrition & Metabolism. 13(1). 54–54. 18 indexed citations

Brown, Adam R., et al.. (2015). Krüppel-like factor 9 (KLF9) prevents colorectal cancer through inhibition of interferon-related signaling. Carcinogenesis. 36(9). 946–955. 51 indexed citations

Apewokin, Senu, Julia A. Goodwin, Stephen W. Erickson, et al.. (2015). Contribution ofClostridium difficileinfection to the development of lower gastrointestinal adverse events during autologous stem cell transplantation. Transplant Infectious Disease. 17(4). 566–573. 1 indexed citations

Coleman, Elizabeth Ann, Jeannette Y. Lee, Stephen W. Erickson, et al.. (2014). GWAS of 972 autologous stem cell recipients with multiple myeloma identifies 11 genetic variants associated with chemotherapy-induced oral mucositis. Supportive Care in Cancer. 23(3). 841–849. 20 indexed citations

Makhoul, Issam, Robert J. Griffin, Eric R. Siegel, et al.. (2014). High-circulating Tie2 Is Associated With Pathologic Complete Response to Chemotherapy and Antiangiogenic Therapy in Breast Cancer. American Journal of Clinical Oncology. 39(3). 248–254. 9 indexed citations

Apewokin, Senu, Elizabeth Coleman, Carol Enderlin, et al.. (2014). 438Genetic Variants Associated with the Development of Clostridium Difficile Infection during Autologous Stemcell Transplantation. Open Forum Infectious Diseases. 1(suppl_1). S166–S167. 1 indexed citations

Gao, Jun, Jacy L. Wagnon, Galina Glazko, et al.. (2013). A Stress-Activated, p38 Mitogen-Activated Protein Kinase–ATF/CREB Pathway Regulates Posttranscriptional, Sequence-Dependent Decay of Target RNAs. Molecular and Cellular Biology. 33(15). 3026–3035. 11 indexed citations

10.

Mercado, Charles P., Stephanie D. Byrum, Marjorie L. Beggs, et al.. (2013). Impact of Elevated Plasma Serotonin on Global Gene Expression of Murine Megakaryocytes. PLoS ONE. 8(8). e72580–e72580. 8 indexed citations

11.

Knecht, Kenneth R., et al.. (2013). Gene Expression Profiling in Pediatric Heart Transplant Rejection. The Journal of Heart and Lung Transplantation. 32(4). S287–S288. 1 indexed citations

12.

Raj, Vinay, et al.. (2012). Abstract B23: Sulfotransferase isoform 1A1 (SULT1A1) gene expression is regulated by transcription factor NF1 in human breast cancer cell lines.. Cancer Prevention Research. 5(11_Supplement). B23–B23. 1 indexed citations

13.

Khaidakov, Magomed, Sona Mitra, Xianwei Wang, et al.. (2011). Oxidized LDL Receptor 1 (OLR1) as a Possible Link between Obesity, Dyslipidemia and Cancer. PLoS ONE. 6(5). e20277–e20277. 93 indexed citations

14.

Estrada, Rosendo, et al.. (2011). Exploiting osmosis for blood cell sorting. Biomedical Microdevices. 13(3). 453–462. 12 indexed citations

15.

Raj, Vinay, et al.. (2011). Dose response relationship of nuclear changes with fractionated radiotherapy in assessing radiosensitivity of Oral Squamous Cell Carcinoma. Journal of Clinical and Experimental Dentistry. e193–e200. 12 indexed citations

16.

Hess, Kenneth R., Vinay Raj, Liping Yu, et al.. (2010). Establishment of Prognostic Models for Astrocytic and Oligodendroglial Brain Tumors with Standardized Quantification of Marker Gene Expression and Clinical Variables. Biomarker Insights. 5. BMI.S6167–BMI.S6167. 20 indexed citations

17.

Zhou, Yi-Hong, Vinay Raj, Eric R. Siegel, & Liping Yu. (2010). Standardization of Gene Expression Quantification by Absolute Real-Time qRT-PCR System Using a Single Standard for Marker and Reference Genes. Biomarker Insights. 5. BMI.S5596–BMI.S5596. 17 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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