Arja Ray

1.5k total citations · 1 hit paper
10 papers, 803 citations indexed

About

Arja Ray is a scholar working on Oncology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Arja Ray has authored 10 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Biomedical Engineering and 5 papers in Cell Biology. Recurrent topics in Arja Ray's work include 3D Printing in Biomedical Research (6 papers), Cellular Mechanics and Interactions (5 papers) and Cancer Cells and Metastasis (4 papers). Arja Ray is often cited by papers focused on 3D Printing in Biomedical Research (6 papers), Cellular Mechanics and Interactions (5 papers) and Cancer Cells and Metastasis (4 papers). Arja Ray collaborates with scholars based in United States, India and Panama. Arja Ray's co-authors include Paolo P. Provenzano, Deok‐Ho Kim, Patrick W. Alford, Rachel Edwards, Zaw Win, Ashish Gupta, Ramkrishna Sen, Soumen Mukherjee, C. Sivapathasekaran and Matthew F. Krummel and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Cancer Cell.

In The Last Decade

Arja Ray

10 papers receiving 790 citations

Hit Papers

Spatiotemporal co-dependency between macrophages and exha... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arja Ray United States 9 305 296 267 181 172 10 803
Maria Kalli Cyprus 11 228 0.7× 245 0.8× 260 1.0× 84 0.5× 197 1.1× 17 684
Κωνσταντίνα Καραμάνου Greece 15 129 0.4× 260 0.9× 203 0.8× 74 0.4× 429 2.5× 19 1.0k
Longwei Liu China 17 271 0.9× 216 0.7× 147 0.6× 56 0.3× 252 1.5× 40 846
Alvin Lo United States 9 183 0.6× 189 0.6× 355 1.3× 55 0.3× 310 1.8× 11 727
Gudrun Dandekar Germany 13 218 0.7× 81 0.3× 362 1.4× 150 0.8× 341 2.0× 31 840
Maiia E. Bragina Switzerland 6 672 2.2× 273 0.9× 414 1.6× 42 0.2× 362 2.1× 10 1.2k
Yisong Shi China 12 119 0.4× 102 0.3× 85 0.3× 73 0.4× 193 1.1× 14 572
Anh Tuan Nguyen Singapore 10 234 0.8× 306 1.0× 46 0.2× 85 0.5× 331 1.9× 17 777
Minjeong Jang South Korea 10 183 0.6× 113 0.4× 98 0.4× 61 0.3× 132 0.8× 14 438

Countries citing papers authored by Arja Ray

Since Specialization
Citations

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

Fields of papers citing papers by Arja Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arja Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Arja Ray. A scholar is included among the top collaborators of Arja 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 Arja Ray. Arja 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
1.
Ray, Arja, Kenneth H. Hu, Kelly Kersten, et al.. (2024). Targeting CD206+ macrophages disrupts the establishment of a key antitumor immune axis. The Journal of Experimental Medicine. 222(1). 14 indexed citations
2.
Kersten, Kelly, Kenneth H. Hu, Alexis J. Combes, et al.. (2022). Spatiotemporal co-dependency between macrophages and exhausted CD8+ T cells in cancer. Cancer Cell. 40(6). 624–638.e9. 188 indexed citations breakdown →
3.
You, Ran, et al.. (2022). Visualizing Spatial and Stoichiometric Barriers to Bispecific T-Cell Engager Efficacy. Cancer Immunology Research. 10(6). 698–712. 8 indexed citations
4.
Ray, Arja, Marjorie Carlson, Hong Jiang, et al.. (2021). Stromal architecture directs early dissemination in pancreatic ductal adenocarcinoma. JCI Insight. 7(3). 39 indexed citations
5.
Ray, Arja & Paolo P. Provenzano. (2021). Aligned forces: Origins and mechanisms of cancer dissemination guided by extracellular matrix architecture. Current Opinion in Cell Biology. 72. 63–71. 55 indexed citations
6.
Ray, Arja, et al.. (2018). Cancer Stem Cell Migration in Three‐Dimensional Aligned Collagen Matrices. Current Protocols in Stem Cell Biology. 46(1). e57–e57. 8 indexed citations
7.
Ray, Arja, et al.. (2018). Dynamics of 3D carcinoma cell invasion into aligned collagen. Integrative Biology. 10(2). 100–112. 36 indexed citations
8.
Ray, Arja, Zaw Win, Rachel Edwards, et al.. (2017). Anisotropic forces from spatially constrained focal adhesions mediate contact guidance directed cell migration. Nature Communications. 8(1). 220 indexed citations
9.
Ray, Arja, et al.. (2017). Enhanced Directional Migration of Cancer Stem Cells in 3D Aligned Collagen Matrices. Biophysical Journal. 112(5). 1023–1036. 126 indexed citations
10.
Sivapathasekaran, C., Soumen Mukherjee, Arja Ray, Ashish Gupta, & Ramkrishna Sen. (2009). Artificial neural network modeling and genetic algorithm based medium optimization for the improved production of marine biosurfactant. Bioresource Technology. 101(8). 2884–2887. 109 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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