Ramya Rajagopal

651 total citations
10 papers, 517 citations indexed

About

Ramya Rajagopal is a scholar working on Molecular Biology, Urology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ramya Rajagopal has authored 10 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Urology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ramya Rajagopal's work include Corneal Surgery and Treatments (3 papers), Urological Disorders and Treatments (3 papers) and TGF-β signaling in diseases (3 papers). Ramya Rajagopal is often cited by papers focused on Corneal Surgery and Treatments (3 papers), Urological Disorders and Treatments (3 papers) and TGF-β signaling in diseases (3 papers). Ramya Rajagopal collaborates with scholars based in United States, Israel and Belgium. Ramya Rajagopal's co-authors include David C. Beebe, Lisa K. Dattilo, Jie Huang, Claudia M. Garcia, Anita B. Roberts, An Zwijsen, Chu‐Xia Deng, Lieve Umans, Vesa Kaartinen and Ruth Ashery‐Padan and has published in prestigious journals such as Development, Developmental Biology and Investigative Ophthalmology & Visual Science.

In The Last Decade

Ramya Rajagopal

10 papers receiving 512 citations

Peers

Ramya Rajagopal
Lisa K. Dattilo United States
Alicia María United States
Åsa Blixt Sweden
J. Tassin France
William Goossens United States
Paulette M. Robinson United States
Tara Tovar-Vidales United States
Lisa K. Dattilo United States
Ramya Rajagopal
Citations per year, relative to Ramya Rajagopal Ramya Rajagopal (= 1×) peers Lisa K. Dattilo

Countries citing papers authored by Ramya Rajagopal

Since Specialization
Citations

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

Fields of papers citing papers by Ramya Rajagopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramya Rajagopal

This figure shows the co-authorship network connecting the top 25 collaborators of Ramya Rajagopal. A scholar is included among the top collaborators of Ramya Rajagopal 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 Ramya Rajagopal. Ramya Rajagopal 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.
Rajagopal, Ramya, et al.. (2018). A Non-Linear Stability Analysis of Rayleigh Bѐnard Magnetoconvection of a Couple Stress Fluid in the Presence of Rotational Modulation. International Journal of Mathematics Trends and Technology. 54(6). 477–484. 4 indexed citations
2.
Huang, Jie, Ramya Rajagopal, Ying Liu, et al.. (2011). The mechanism of lens placode formation: A case of matrix-mediated morphogenesis. Developmental Biology. 355(1). 32–42. 67 indexed citations
3.
Garcia, Claudia M., Jie Huang, Bhavani P. Madakashira, et al.. (2011). The function of FGF signaling in the lens placode. Developmental Biology. 351(1). 176–185. 45 indexed citations
4.
Wiley, Luke A., Ramya Rajagopal, Lisa K. Dattilo, & David C. Beebe. (2011). The tumor suppressor geneTrp53protects the mouse lens against posterior subcapsular cataracts and the BMP receptor Acvr1 acts as a tumor suppressor in the lens. Disease Models & Mechanisms. 4(4). 484–495. 33 indexed citations
5.
Rajagopal, Ramya, Jie Huang, Lisa K. Dattilo, et al.. (2009). The type I BMP receptors, Bmpr1a and Acvr1, activate multiple signaling pathways to regulate lens formation. Developmental Biology. 335(2). 305–316. 67 indexed citations
6.
Huang, Jie, Lisa K. Dattilo, Ramya Rajagopal, et al.. (2009). FGF-regulated BMP signaling is required for eyelid closure and to specify conjunctival epithelial cell fate. Development. 136(10). 1741–1750. 76 indexed citations
7.
Rajagopal, Ramya, Lisa K. Dattilo, Vesa Kaartinen, et al.. (2008). Functions of the Type 1 BMP Receptor Acvr1 (Alk2) in Lens Development: Cell Proliferation, Terminal Differentiation, and Survival. Investigative Ophthalmology & Visual Science. 49(11). 4953–4953. 37 indexed citations
8.
Rajagopal, Ramya, Shunsuke Ishii, & David C. Beebe. (2007). Intracellular mediators of transforming growth factor β superfamily signaling localize to endosomes in chicken embryo and mouse lenses in vivo. BMC Cell Biology. 8(1). 25–25. 15 indexed citations
9.
Shui, Ying‐Bo, Claudia M. Garcia, Lisa K. Dattilo, et al.. (2006). Oxygen Distribution in the Rabbit Eye and Oxygen Consumption by the Lens. Investigative Ophthalmology & Visual Science. 47(4). 1571–1571. 112 indexed citations
10.
Beebe, David C., Claudia M. Garcia, Xiaohui Wang, et al.. (2004). Contributions by members of the TGFbeta superfamily to lens development. The International Journal of Developmental Biology. 48(8-9). 845–856. 61 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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