Rubik Ray

1.3k total citations
34 papers, 1.0k citations indexed

About

Rubik Ray is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Rubik Ray has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Oncology. Recurrent topics in Rubik Ray's work include Pesticide Exposure and Toxicity (6 papers), Retinoids in leukemia and cellular processes (5 papers) and Smoking Behavior and Cessation (3 papers). Rubik Ray is often cited by papers focused on Pesticide Exposure and Toxicity (6 papers), Retinoids in leukemia and cellular processes (5 papers) and Smoking Behavior and Cessation (3 papers). Rubik Ray collaborates with scholars based in United States, India and Ireland. Rubik Ray's co-authors include William A. Catterall, Marshall W. Nirenberg, Michael Adler, A. Rotter, Neil A. Busis, Samuel H. Wilson, Karl E. Krueger, Caryn Lerman, J. P. Petrali and Christopher Jepson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Rubik Ray

29 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rubik Ray United States 15 640 409 158 112 106 34 1.0k
Eva S. Werstiuk Canada 21 636 1.0× 256 0.6× 151 1.0× 94 0.8× 85 0.8× 60 1.3k
Ataúlfo Martı́nez-Torres Mexico 20 681 1.1× 649 1.6× 102 0.6× 85 0.8× 64 0.6× 97 1.3k
Christopher J. Hough United States 17 592 0.9× 737 1.8× 177 1.1× 130 1.2× 55 0.5× 27 1.6k
François Rugiero United Kingdom 14 679 1.1× 457 1.1× 466 2.9× 45 0.4× 69 0.7× 18 1.3k
Jingsheng Xia United States 17 621 1.0× 396 1.0× 174 1.1× 108 1.0× 31 0.3× 28 1.4k
Michael J. Neal United Kingdom 21 898 1.4× 740 1.8× 147 0.9× 39 0.3× 52 0.5× 46 1.5k
Salim Mottagui‐Tabar Sweden 15 669 1.0× 227 0.6× 213 1.3× 251 2.2× 58 0.5× 23 1.2k
Kensuke Sakamoto United States 15 827 1.3× 274 0.7× 183 1.2× 191 1.7× 47 0.4× 24 1.4k
M. T. Agapito Spain 17 408 0.6× 188 0.5× 356 2.3× 145 1.3× 63 0.6× 42 1.5k
Russell J. Buono United States 23 847 1.3× 723 1.8× 162 1.0× 352 3.1× 46 0.4× 66 1.6k

Countries citing papers authored by Rubik Ray

Since Specialization
Citations

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

Fields of papers citing papers by Rubik Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubik Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Rubik Ray. A scholar is included among the top collaborators of Rubik 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 Rubik Ray. Rubik 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, Rubik, et al.. (2024). Rarest of the Rare – Malignant Solitary Fibrous Tumour of the Breast: Case Report and Literature Review. MAEDICA – a Journal of Clinical Medicine. 1(1). 170–176.
3.
Ray, Rubik, et al.. (2021). Pancreatic Lymphangioma: An Unusual Cause of Abdominal Lump. Cureus. 13(11). e19452–e19452. 4 indexed citations
4.
Karim, Habib Md Reazaul, Praveen Kumar Neema, Rubik Ray, et al.. (2021). Information technology-based joint preoperative assessment, risk stratification and its impact on patient management, perioperative outcome, and cost. PubMed. 9(2). e130–e130. 4 indexed citations
5.
Ray, Rubik, et al.. (2020). Granular Cell Tumor of Female Urethra – the Second Such Reported Case. MAEDICA – a Journal of Clinical Medicine. 15(3). 409–411.
6.
Sengupta, Mallika, et al.. (2020). Induction of labour with foley catheter is better alternative to misoprostol. International Journal of Clinical Obstetrics and Gynaecology. 4(4). 327–329. 1 indexed citations
7.
Ray, Rubik, et al.. (2020). Laparoscopic management of appendicular lump. International Surgery Journal. 7(9). 3065–3065.
8.
Banerjee, Anamika, Huan‐Yu Wang, Karin E. Borgmann‐Winter, et al.. (2014). Src kinase as a mediator of convergent molecular abnormalities leading to NMDAR hypoactivity in schizophrenia. Molecular Psychiatry. 20(9). 1091–1100. 50 indexed citations
9.
Ray, Rubik. (2014). Transinguinal Preperitoneal Technique of Inguinal Hernioplasty – A Better Alternative to Lichtenstein Procedure. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 8(5). NC01–3. 8 indexed citations
10.
Mathur, Sandeep, et al.. (2009). Anaplastic large cell lymphoma: a critical evaluation of cytomorphological features in seven cases. Cytopathology. 21(4). 251–258. 19 indexed citations
11.
Loughead, James, E. Paul Wileyto, Jeffrey N. Valdez, et al.. (2008). Effect of abstinence challenge on brain function and cognition in smokers differs by COMT genotype. Molecular Psychiatry. 14(8). 820–826. 64 indexed citations
12.
Ray, Rubik, Margaret Rukstalis, Christopher Jepson, et al.. (2008). Effects of atomoxetine on subjective and neurocognitive symptoms of nicotine abstinence. Journal of Psychopharmacology. 23(2). 168–176. 18 indexed citations
13.
Ray, Rubik, Christopher Jepson, Freda Patterson, et al.. (2006). Association of OPRM1 A118G variant with the relative reinforcing value of nicotine. Psychopharmacology. 188(3). 355–363. 97 indexed citations
14.
Ray, P., Arun K. Chakrabarti, Clarence A. Broomfield, & Rubik Ray. (2002). Sulfur mustard‐stimulated protease: a target for antivesicant drugs. Journal of Applied Toxicology. 22(2). 139–140. 15 indexed citations
15.
Bhat, Kumar M. R., Betty Benton, Dean S. Rosenthal, Mark E. Smulson, & Rubik Ray. (2001). Role of poly(ADP-ribose) polymerase (PARP) in DNA repair in sulfur mustard-exposed normal human epidermal keratinocytes (NHEK)†‡. Journal of Applied Toxicology. 20(S1). S13–S17. 20 indexed citations
16.
Ray, Rubik, et al.. (2001). Intervention of sulfur mustard toxicity by downregulation of cell proliferation and metabolic rates†. Journal of Applied Toxicology. 20(S1). S87–S91. 7 indexed citations
17.
Ray, P., Charles B. Millard, J. P. Petrali, J D Berman, & Rubik Ray. (1997). Acetylcholine exocytosis in PC12 cells deficient in SNAP-25. Neuroreport. 8(9). 2271–2274. 12 indexed citations
18.
Ray, Rubik, et al.. (1995). Sulfur Mustard-Induced Increase in Intracellular Free Calcium Level and Arachidonic Acid Release from Cell Membrane. Toxicology and Applied Pharmacology. 131(1). 44–52. 55 indexed citations
19.
Ray, Rubik, et al.. (1990). Three polymorphisms at the D17S29 locus. Nucleic Acids Research. 18(16). 4958–4958. 5 indexed citations
20.
BROSSI, A., et al.. (1986). Inhibition of acetylcholinesterase from electric eel by (−)‐ and (+)‐physostigmine and related compounds. FEBS Letters. 201(2). 190–192. 24 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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