Anusuya Das

702 total citations
25 papers, 566 citations indexed

About

Anusuya Das is a scholar working on Molecular Biology, Modeling and Simulation and Biomedical Engineering. According to data from OpenAlex, Anusuya Das has authored 25 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Modeling and Simulation and 6 papers in Biomedical Engineering. Recurrent topics in Anusuya Das's work include Sphingolipid Metabolism and Signaling (7 papers), Mathematical Biology Tumor Growth (6 papers) and Angiogenesis and VEGF in Cancer (6 papers). Anusuya Das is often cited by papers focused on Sphingolipid Metabolism and Signaling (7 papers), Mathematical Biology Tumor Growth (6 papers) and Angiogenesis and VEGF in Cancer (6 papers). Anusuya Das collaborates with scholars based in United States, Russia and China. Anusuya Das's co-authors include Edward A. Botchwey, Quanjun Cui, Daniel T. Bowers, H. Harry Asada, Roger D. Kamm, Daniel A. Barker, Yong Lin, Tiffany Wang, Douglas A. Lauffenburger and Molly E. Ogle and has published in prestigious journals such as ACS Nano, PLoS ONE and Biomaterials.

In The Last Decade

Anusuya Das

25 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anusuya Das United States 14 239 208 99 80 63 25 566
Rui C. Pereira Italy 14 66 0.3× 168 0.8× 123 1.2× 114 1.4× 69 1.1× 23 476
Verena M.C. Quent Australia 11 146 0.6× 254 1.2× 118 1.2× 94 1.2× 84 1.3× 13 636
Ekaterina Kniazeva United States 13 287 1.2× 301 1.4× 239 2.4× 183 2.3× 108 1.7× 15 829
Antonios G. Mikos United States 8 93 0.4× 306 1.5× 101 1.0× 191 2.4× 26 0.4× 10 597
Eleanor Knight United Kingdom 6 315 1.3× 319 1.5× 117 1.2× 90 1.1× 39 0.6× 8 744
Hannah A. Strobel United States 16 268 1.1× 297 1.4× 205 2.1× 188 2.4× 173 2.7× 36 790
Elysse C. Filipe Australia 13 146 0.6× 220 1.1× 204 2.1× 241 3.0× 120 1.9× 20 649
Ziran Xu China 12 315 1.3× 274 1.3× 144 1.5× 107 1.3× 70 1.1× 24 781
Anna Birgersdotter Sweden 5 157 0.7× 322 1.5× 68 0.7× 55 0.7× 36 0.6× 5 528
Brian J. Kwee United States 13 301 1.3× 510 2.5× 211 2.1× 208 2.6× 82 1.3× 20 966

Countries citing papers authored by Anusuya Das

Since Specialization
Citations

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

Fields of papers citing papers by Anusuya Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anusuya Das

This figure shows the co-authorship network connecting the top 25 collaborators of Anusuya Das. A scholar is included among the top collaborators of Anusuya Das 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 Anusuya Das. Anusuya Das 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.
Das, Anusuya, Parker Merrill, Jennifer L. Wilson, et al.. (2018). Evaluating Angiogenic Potential of Small Molecules Using Genetic Network Approaches. Regenerative Engineering and Translational Medicine. 5(1). 30–41. 2 indexed citations
2.
Das, Anusuya, Tiffany Wang, Quanjun Cui, et al.. (2018). Novel Lipid Signaling Mediators for Mesenchymal Stem Cell Mobilization During Bone Repair. Cellular and Molecular Bioengineering. 11(4). 241–253. 4 indexed citations
3.
Ogle, Molly E., et al.. (2016). Sphingosine-1-Phosphate Receptor-3 Supports Hematopoietic Stem and Progenitor Cell Residence Within the Bone Marrow Niche. Stem Cells. 35(4). 1040–1052. 28 indexed citations
4.
Wang, Tiffany, Cynthia Huang, Anusuya Das, et al.. (2015). Enhanced osseous integration of human trabecular allografts following surface modification with bioactive lipids. Drug Delivery and Translational Research. 6(2). 96–104. 12 indexed citations
5.
Das, Anusuya, J. Jared Christophel, Ching-Ju Li, et al.. (2015). Poly(lactic-co-glycolide) polymer constructs cross-linked with human BMP-6 and VEGF protein significantly enhance rat mandible defect repair. Cell and Tissue Research. 364(1). 125–135. 30 indexed citations
7.
Mericli, Alexander F., et al.. (2015). Deferoxamine Mitigates Radiation-Induced Tissue Injury in a Rat Irradiated TRAM Flap Model. Plastic & Reconstructive Surgery. 135(1). 124e–134e. 14 indexed citations
8.
Mericli, Alexander F., et al.. (2015). The Impact of Deferoxamine on Vascularity and Soft-Tissue Biomechanics in a Rat TRAM Flap Model. Plastic & Reconstructive Surgery. 136(1). 125e–127e. 2 indexed citations
9.
Mericli, Alexander F., et al.. (2014). Abstract 107. Plastic & Reconstructive Surgery. 133(3 Suppl). 124–124. 1 indexed citations
10.
Das, Anusuya, et al.. (2014). Abluminal Stimulation of Sphingosine 1-Phosphate Receptors 1 and 3 Promotes and Stabilizes Endothelial Sprout Formation. Tissue Engineering Part A. 21(1-2). 202–213. 6 indexed citations
11.
12.
Bowers, Daniel T., Anusuya Das, Yong Lin, et al.. (2014). Spatiotemporal Oxygen Sensing Using Dual Emissive Boron Dye–Polylactide Nanofibers. ACS Nano. 8(12). 12080–12091. 37 indexed citations
13.
14.
Guldberg, Robert E., et al.. (2013). Principles of engineering tissue regeneration (Sun Valley 2012). 10. 3 indexed citations
15.
Das, Anusuya & Edward A. Botchwey. (2011). Evaluation of Angiogenesis and Osteogenesis. Tissue Engineering Part B Reviews. 17(6). 403–414. 53 indexed citations
16.
Huang, Cynthia, Anusuya Das, Daniel A. Barker, et al.. (2011). Local delivery of FTY720 accelerates cranial allograft incorporation and bone formation. Cell and Tissue Research. 347(3). 553–566. 39 indexed citations
17.
Das, Anusuya, D. A. Lauffenburger, H. Harry Asada, & Roger D. Kamm. (2010). Determining Cell Fate Transition Probabilities to VEGF/Ang 1 Levels: Relating Computational Modeling to Microfluidic Angiogenesis Studies. Cellular and Molecular Bioengineering. 3(4). 345–360. 6 indexed citations
18.
Das, Anusuya, Douglas A. Lauffenburger, H. Harry Asada, & Roger D. Kamm. (2010). A hybrid continuum–discrete modelling approach to predict and control angiogenesis: analysis of combinatorial growth factor and matrix effects on vessel-sprouting morphology. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 368(1921). 2937–2960. 42 indexed citations
19.
Wood, Levi B., Anusuya Das, Roger D. Kamm, & H. Harry Asada. (2009). A Stochastic Broadcast Feedback Approach to Regulating Cell Population Morphology for Microfluidic Angiogenesis Platforms. IEEE Transactions on Biomedical Engineering. 56(9). 2299–2303. 13 indexed citations
20.
Belle, Jeffrey T. La, Anusuya Das, James Sweeney, et al.. (2007). A cytokine immunosensor for multiple sclerosis detection based upon label-free electrochemical impedance spectroscopy. Biosensors and Bioelectronics. 23(3). 428–431. 36 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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