Rupa Ray

606 total citations
10 papers, 474 citations indexed

About

Rupa Ray is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Rupa Ray has authored 10 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Immunology. Recurrent topics in Rupa Ray's work include Endoplasmic Reticulum Stress and Disease (5 papers), Heat shock proteins research (3 papers) and Protein Structure and Dynamics (2 papers). Rupa Ray is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (5 papers), Heat shock proteins research (3 papers) and Protein Structure and Dynamics (2 papers). Rupa Ray collaborates with scholars based in United States, Australia and Chile. Rupa Ray's co-authors include Salvatore V. Pizzo, Q. David Walker, Cynthia M. Kuhn, Timothy Haystead, Patrick Fadden, Jesse J. Kwiek, Andrew M. Coley, Michael Foley, Paul R. Graves and Mario Gonzalez–Gronow and has published in prestigious journals such as Journal of Biological Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology and Neuropsychopharmacology.

In The Last Decade

Rupa Ray

10 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rupa Ray United States 9 257 107 95 57 55 10 474
Julia Oosterom Netherlands 14 316 1.2× 195 1.8× 168 1.8× 53 0.9× 66 1.2× 16 900
Michaela Müller Germany 13 522 2.0× 52 0.5× 160 1.7× 106 1.9× 49 0.9× 19 932
Camilla Göktürk Sweden 12 423 1.6× 47 0.4× 48 0.5× 33 0.6× 33 0.6× 17 648
István Teplán Hungary 18 407 1.6× 46 0.4× 133 1.4× 96 1.7× 89 1.6× 68 912
Jessie Zhang United States 12 499 1.9× 80 0.7× 109 1.1× 128 2.2× 91 1.7× 15 881
Felikss Mutulis Sweden 22 460 1.8× 528 4.9× 127 1.3× 63 1.1× 90 1.6× 41 1.5k
Uwe Klein United States 12 625 2.4× 157 1.5× 190 2.0× 37 0.6× 30 0.5× 18 1.0k
Brent Larsen United States 14 303 1.2× 73 0.7× 103 1.1× 55 1.0× 27 0.5× 33 645
José A. Gómez Spain 14 377 1.5× 30 0.3× 35 0.4× 123 2.2× 34 0.6× 32 679
Brian Werneburg United States 18 797 3.1× 66 0.6× 78 0.8× 85 1.5× 35 0.6× 37 1.3k

Countries citing papers authored by Rupa Ray

Since Specialization
Citations

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

Fields of papers citing papers by Rupa Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rupa Ray

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

All Works

10 of 10 papers shown
2.
Gonzalez–Gronow, Mario, et al.. (2014). Binding of Tissue-type Plasminogen Activator to the Glucose-regulated Protein 78 (GRP78) Modulates Plasminogen Activation and Promotes Human Neuroblastoma Cell Proliferation in Vitro. Journal of Biological Chemistry. 289(36). 25166–25176. 12 indexed citations
3.
Ray, Rupa, et al.. (2012). A murine monoclonal antibody directed against the carboxyl-terminal domain of GRP78 suppresses melanoma growth in mice. Melanoma Research. 22(3). 225–235. 53 indexed citations
4.
Gonzalez–Gronow, Mario, et al.. (2012). The Voltage-dependent Anion Channel (VDAC) Binds Tissue-type Plasminogen Activator and Promotes Activation of Plasminogen on the Cell Surface. Journal of Biological Chemistry. 288(1). 498–509. 17 indexed citations
5.
Ray, Rupa, et al.. (2012). The Escherichia coli Subtilase Cytotoxin A Subunit Specifically Cleaves Cell-surface GRP78 Protein and Abolishes COOH-terminal-dependent Signaling. Journal of Biological Chemistry. 287(39). 32755–32769. 19 indexed citations
6.
Ray, Rupa, et al.. (2011). Modulation of the Unfolded Protein Response by GRP78 in Prostate Cancer. Methods in enzymology on CD-ROM/Methods in enzymology. 489. 245–257. 21 indexed citations
7.
Gonzalez–Gronow, Mario, et al.. (2010). Autoantibodies against cell surface GRP78 promote tumor growth in a murine model of melanoma. Melanoma Research. 21(1). 35–43. 27 indexed citations
8.
Walker, Q. David, Rupa Ray, & Cynthia M. Kuhn. (2005). Sex Differences in Neurochemical Effects of Dopaminergic Drugs in Rat Striatum. Neuropsychopharmacology. 31(6). 1193–1202. 115 indexed citations
9.
Ray, Rupa & Timothy Haystead. (2003). Phosphoproteome Analysis in Yeast. Methods in enzymology on CD-ROM/Methods in enzymology. 366. 95–103. 3 indexed citations
10.
Graves, Paul R., Jesse J. Kwiek, Patrick Fadden, et al.. (2002). Discovery of Novel Targets of Quinoline Drugs in the Human Purine Binding Proteome. Molecular Pharmacology. 62(6). 1364–1372. 189 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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