Jayanthi Padmanabhan

783 total citations
11 papers, 635 citations indexed

About

Jayanthi Padmanabhan is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Jayanthi Padmanabhan has authored 11 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Genetics. Recurrent topics in Jayanthi Padmanabhan's work include Pluripotent Stem Cells Research (5 papers), Extracellular vesicles in disease (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Jayanthi Padmanabhan is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Extracellular vesicles in disease (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Jayanthi Padmanabhan collaborates with scholars based in Singapore, Netherlands and Sweden. Jayanthi Padmanabhan's co-authors include Andre Choo, Sai Kiang Lim, Ruenn Chai Lai, Angela Chin, Fatih Arslan, Chuen Neng Lee, Tian Sheng Chen, Yijun Yin, Soon Sim Tan and Steve Oh and has published in prestigious journals such as Scientific Reports, Biotechnology and Bioengineering and Transplantation.

In The Last Decade

Jayanthi Padmanabhan

11 papers receiving 626 citations

Peers

Jayanthi Padmanabhan
Milad Riazifar United States
Byong Seung Cho South Korea
Jun Yong Kim South Korea
Silin Sa United States
Rachael Miller United States
Amy Cochrane Netherlands
Ning Ran China
Milad Riazifar United States
Jayanthi Padmanabhan
Citations per year, relative to Jayanthi Padmanabhan Jayanthi Padmanabhan (= 1×) peers Milad Riazifar

Countries citing papers authored by Jayanthi Padmanabhan

Since Specialization
Citations

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

Fields of papers citing papers by Jayanthi Padmanabhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayanthi Padmanabhan

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

All Works

11 of 11 papers shown
1.
Welsh, Joshua A, Tobias Tertel, Andre Choo, et al.. (2024). Inter‐laboratory multiplex bead‐based surface protein profiling of MSC‐derived EV preparations identifies MSC‐EV surface marker signatures. Journal of Extracellular Vesicles. 13(6). e12463–e12463. 19 indexed citations
2.
Tan, Thong Teck, et al.. (2021). Assessment of Tumorigenic Potential in Mesenchymal-Stem/Stromal-Cell-Derived Small Extracellular Vesicles (MSC-sEV). Pharmaceuticals. 14(4). 345–345. 36 indexed citations
3.
Tan, Heng Liang, Wey Jia Fong, Jayanthi Padmanabhan, et al.. (2018). Conservation of oncofetal antigens on human embryonic stem cells enables discovery of monoclonal antibodies against cancer. Scientific Reports. 8(1). 11608–11608. 5 indexed citations
4.
Lai, Ruenn Chai, Ronne Wee Yeh Yeo, Jayanthi Padmanabhan, et al.. (2016). Isolation and Characterization of Exosome from Human Embryonic Stem Cell-Derived C-Myc-Immortalized Mesenchymal Stem Cells. Methods in molecular biology. 1416. 477–494. 39 indexed citations
5.
Padmanabhan, Jayanthi, et al.. (2015). mAb C19 targets a novel surface marker for the isolation of human cardiac progenitor cells from human heart tissue and differentiated hESCs. Journal of Molecular and Cellular Cardiology. 82. 228–237. 8 indexed citations
6.
Chen, Tian Sheng, Fatih Arslan, Yijun Yin, et al.. (2011). Enabling a robust scalable manufacturing process for therapeutic exosomes through oncogenic immortalization of human ESC-derived MSCs. Journal of Translational Medicine. 9(1). 47–47. 322 indexed citations
7.
Chin, Angela, Jayanthi Padmanabhan, Steve Oh, & Andre Choo. (2009). Defined and Serum-Free Media Support Undifferentiated Human Embryonic Stem Cell Growth. Stem Cells and Development. 19(6). 753–761. 40 indexed citations
8.
Choo, Andre, et al.. (2005). Immortalized feeders for the scale-up of human embryonic stem cells in feeder and feeder-free conditions. Journal of Biotechnology. 122(1). 130–141. 66 indexed citations
9.
Oh, Steve, Wey Jia Fong, Heng Liang Tan, et al.. (2005). High density cultures of embryonic stem cells. Biotechnology and Bioengineering. 91(5). 523–533. 38 indexed citations
10.
Choo, Andre, Jayanthi Padmanabhan, Angela Chin, & Steve Oh. (2004). Expansion of pluripotent human embryonic stem cells on human feeders. Biotechnology and Bioengineering. 88(3). 321–331. 57 indexed citations
11.
Nassiri, Mehdi, Ana Carolina de Bragança, Jayanthi Padmanabhan, J. Wayne Streilein, & Phillip Ruiz. (1994). LYMPHOID ORGAN PRODUCTION OF IMMUNOMODULATORY EICOSANOIDS IN MICE RESISTANT TO NEONATAL TOLERANCE INDUCTION. Transplantation. 57(11). 1643–1652. 5 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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