Vikas Ghai

751 total citations
23 papers, 380 citations indexed

About

Vikas Ghai is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Vikas Ghai has authored 23 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Vikas Ghai's work include Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (5 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Vikas Ghai is often cited by papers focused on Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (5 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Vikas Ghai collaborates with scholars based in United States, Canada and Belgium. Vikas Ghai's co-authors include Kai Wang, Taek‐Kyun Kim, Jeb Gaudet, David J. Galas, David P. Carbone, Xiaogang Wu, Joseph M. Amann, Takehito Shukuya, Tamio Okimoto and David Baxter and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Vikas Ghai

22 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikas Ghai United States 11 274 191 42 34 29 23 380
Jamal Green United States 5 506 1.8× 201 1.1× 50 1.2× 7 0.2× 12 0.4× 6 605
Anna Mleczko Poland 9 332 1.2× 148 0.8× 43 1.0× 2 0.1× 5 0.2× 17 450
Krystal J. Vail United States 6 257 0.9× 31 0.2× 58 1.4× 2 0.1× 40 1.4× 12 395
Vida Tajiknia United States 8 256 0.9× 193 1.0× 24 0.6× 29 1.0× 16 385
Lehao Ren China 10 133 0.5× 85 0.4× 47 1.1× 10 0.3× 24 313
Allison R. Wagner United States 5 225 0.8× 27 0.1× 56 1.3× 2 0.1× 10 0.3× 5 324
Shaoqin Li China 10 110 0.4× 23 0.1× 52 1.2× 4 0.1× 7 0.2× 34 350
Daniela Fignani Italy 10 144 0.5× 96 0.5× 28 0.7× 35 1.2× 14 360
Mehdi Benamar United States 11 172 0.6× 22 0.1× 33 0.8× 4 0.1× 19 0.7× 25 439
Joel Alter Israel 10 139 0.5× 19 0.1× 34 0.8× 8 0.2× 3 0.1× 15 292

Countries citing papers authored by Vikas Ghai

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Ghai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Ghai

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Ghai. A scholar is included among the top collaborators of Vikas Ghai 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 Vikas Ghai. Vikas Ghai 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.
Crouser, Elliott D., M Julián, Sabahattin Bicer, et al.. (2021). Circulating exosomal microRNA expression patterns distinguish cardiac sarcoidosis from myocardial ischemia. PLoS ONE. 16(1). e0246083–e0246083. 17 indexed citations
2.
Ghai, Vikas, Shannon Fallen, David Baxter, et al.. (2020). Alterations in Plasma microRNA and Protein Levels in War Veterans with Chronic Mild Traumatic Brain Injury. Journal of Neurotrauma. 37(12). 1418–1430. 35 indexed citations
3.
Shukuya, Takehito, Vikas Ghai, Joseph M. Amann, et al.. (2020). Circulating MicroRNAs and Extracellular Vesicle–Containing MicroRNAs as Response Biomarkers of Anti–programmed Cell Death Protein 1 or Programmed Death-Ligand 1 Therapy in NSCLC. Journal of Thoracic Oncology. 15(11). 1773–1781. 59 indexed citations
4.
Ghai, Vikas, Taek‐Kyun Kim, Alton Etheridge, et al.. (2019). Extracellular Vesicle Encapsulated MicroRNAs in Patients with Type 2 Diabetes Are Affected by Metformin Treatment. Journal of Clinical Medicine. 8(5). 617–617. 36 indexed citations
5.
Ghai, Vikas, David Baxter, Xiaogang Wu, et al.. (2019). Circulating RNAs as predictive markers for the progression of type 2 diabetes. Journal of Cellular and Molecular Medicine. 23(4). 2753–2768. 20 indexed citations
6.
Ghai, Vikas, Maria‐Eleni Roumelioti, Saeed K. Shaffi, et al.. (2018). Study protocol: rationale and design of the community-based prospective cohort study of kidney function and diabetes in rural New Mexico, the COMPASS study. BMC Nephrology. 19(1). 47–47. 1 indexed citations
7.
Shukuya, Takehito, Joseph M. Amann, Vikas Ghai, Kai Wang, & David P. Carbone. (2018). Circulating miRNA and extracellular vesicle containing miRNA as response biomarkers of anti PD-1/PD-L1 therapy in non-small-cell lung cancer.. Journal of Clinical Oncology. 36(15_suppl). 3058–3058. 4 indexed citations
8.
Shen, Qinfang, Herong Shi, Chenxi Tian, Vikas Ghai, & Jun Liu. (2017). The C. elegans Spalt-like protein SEM-4 functions through the SoxC transcription factor SEM-2 to promote a proliferative blast cell fate in the postembryonic mesoderm. Developmental Biology. 429(1). 335–342. 3 indexed citations
9.
Ghai, Vikas, Xiaogang Wu, Christos Argyropoulos, et al.. (2017). Genome-wide Profiling of Urinary Extracellular Vesicle microRNAs Associated With Diabetic Nephropathy in Type 1 Diabetes. Kidney International Reports. 3(3). 555–572. 51 indexed citations
10.
Ghai, Vikas & Kai Wang. (2016). Recent progress toward the use of circulating microRNAs as clinical biomarkers. Archives of Toxicology. 90(12). 2959–2978. 78 indexed citations
11.
Ghai, Vikas, et al.. (2012). Transcriptional regulation of HLH-6-independent and subtype-specific genes expressed in the Caenorhabditis elegans pharyngeal glands. Mechanisms of Development. 129(9-12). 284–297. 11 indexed citations
12.
Ghai, Vikas, et al.. (2012). Current Approaches to Epigenetic Therapy for the Treatment of Mantle Cell Lymphoma. Advances in experimental medicine and biology. 779. 257–266. 5 indexed citations
13.
Raharjo, Wahyu Hendrati, et al.. (2011). Cell Architecture: Surrounding Muscle Cells Shape Gland Cell Morphology in the Caenorhabditis elegans Pharynx. Genetics. 189(3). 885–897. 11 indexed citations
14.
15.
Sharma, Kamal, Mithun Vinod Shah, Zainul S. Hasanali, et al.. (2011). Epigenetic Modulation of Alemtuzumab Mediated Antileukemia Effects and Resistance in T- Cell Prolymphocytic Leukemia. Blood. 118(21). 2440–2440. 1 indexed citations
16.
Ghai, Vikas, et al.. (2009). Significance of CA 27.29 (MUC 1 glycoprotein) levels in patients with breast cancer. Journal of Clinical Oncology. 27(15_suppl). e11579–e11579. 1 indexed citations
17.
Ghai, Vikas & Jeb Gaudet. (2008). The CSL transcription factor LAG-1 directly represses hlh-6 expression in C. elegans. Developmental Biology. 322(2). 334–344. 17 indexed citations
18.
Ghai, Vikas, et al.. (2007). Fulminant Postcesarean Clostridium difficile Pseudomembranous Colitis. Obstetrics and Gynecology. 109(2). 541–543. 8 indexed citations
19.
Quan, Walter, et al.. (2006). Activity of Continuous Infusion Plus Pulse Interleukin-2 with Famotidine in Patients with Metastatic Kidney Cancer or Melanoma Previously Treated with Interleukin-2. Cancer Biotherapy and Radiopharmaceuticals. 21(5). 437–442. 1 indexed citations
20.
Assaly, Ragheb, et al.. (2006). CEREBRAL VENOUS SINUS THROMBOSIS IN A PATIENT WITH DIABETIC KETOACIDOSIS AND PREDISPOSITION TO THROMBOSIS. CHEST Journal. 130(4). 342S–342S. 1 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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