Subathra Radhakrishnan

421 total citations
12 papers, 311 citations indexed

About

Subathra Radhakrishnan is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Subathra Radhakrishnan has authored 12 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Genetics. Recurrent topics in Subathra Radhakrishnan's work include Mesenchymal stem cell research (4 papers), Pluripotent Stem Cells Research (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Subathra Radhakrishnan is often cited by papers focused on Mesenchymal stem cell research (4 papers), Pluripotent Stem Cells Research (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Subathra Radhakrishnan collaborates with scholars based in India, United Kingdom and Spain. Subathra Radhakrishnan's co-authors include Mohamed Rela, Mettu Srinivas Reddy, Abdul Hakeem, E. A. K. Nivethaa, Baddireddi Subhadra Lakshmi, Mahesh Kandasamy, Olga V. Frank‐Kamenetskaya, V. Narayanan, A. Stephen and José Luís Gómez Ribelles and has published in prestigious journals such as Scientific Reports, RSC Advances and ACS Chemical Neuroscience.

In The Last Decade

Subathra Radhakrishnan

12 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subathra Radhakrishnan India 6 118 96 55 53 34 12 311
Shrinidh Joshi United States 8 59 0.5× 109 1.1× 26 0.5× 32 0.6× 70 2.1× 17 385
Sadat Dokaneheifard United States 10 62 0.5× 247 2.6× 35 0.6× 43 0.8× 36 1.1× 13 506
Thiranut Jaroonwitchawan Thailand 12 42 0.4× 240 2.5× 40 0.7× 105 2.0× 9 0.3× 16 459
Noushin Lotfi Iran 5 37 0.3× 74 0.8× 25 0.5× 111 2.1× 9 0.3× 10 309
Leonard Angka Canada 10 87 0.7× 142 1.5× 44 0.8× 199 3.8× 11 0.3× 16 615
Xianbin Kong China 13 31 0.3× 139 1.4× 12 0.2× 68 1.3× 29 0.9× 24 405
Chris Chan Hong Kong 8 140 1.2× 233 2.4× 35 0.6× 83 1.6× 6 0.2× 9 570
Chang Moon United States 6 74 0.6× 84 0.9× 35 0.6× 33 0.6× 7 0.2× 8 237
Tsukasa Yamakawa Japan 8 46 0.4× 191 2.0× 28 0.5× 57 1.1× 4 0.1× 18 434
Kalpana Panati India 12 21 0.2× 167 1.7× 10 0.2× 50 0.9× 19 0.6× 24 386

Countries citing papers authored by Subathra Radhakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Subathra Radhakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subathra Radhakrishnan

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

All Works

12 of 12 papers shown
1.
2.
Radhakrishnan, Subathra, et al.. (2024). Treatment and Prognostic Implications of Strong PD-L1 Expression in Primary Hepatic Sarcomatoid Carcinoma. Immunotherapy. 16(6). 371–379. 2 indexed citations
3.
Radhakrishnan, Subathra, et al.. (2023). Significance of nucleologenesis, ribogenesis, and nucleolar proteome in the pathogenesis and recurrence of hepatocellular carcinoma. Expert Review of Gastroenterology & Hepatology. 17(4). 363–378. 2 indexed citations
4.
Radhakrishnan, Subathra, Mukul Vij, Ashwin Rammohan, et al.. (2022). Biphenotypic Immunohistochemical Features and NTRK1 Amplification in Intermediate Cell Carcinoma of the Liver. International Journal of Surgical Pathology. 31(5). 839–845. 1 indexed citations
5.
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Radhakrishnan, Subathra, et al.. (2021). Hypoxic Preconditioning Induces Neuronal Differentiation of Infrapatellar Fat Pad Stem Cells through Epigenetic Alteration. ACS Chemical Neuroscience. 12(4). 704–718. 4 indexed citations
7.
Nivethaa, E. A. K., A. Stephen, V. Narayanan, et al.. (2020). A competent bidrug loaded water soluble chitosan derivative for the effective inhibition of breast cancer. Scientific Reports. 10(1). 3991–3991. 30 indexed citations
8.
Hakeem, Abdul, et al.. (2020). The Role and Therapeutic Potential of NF-kappa-B Pathway in Severe COVID-19 Patients. Inflammopharmacology. 29(1). 91–100. 220 indexed citations
9.
Radhakrishnan, Subathra, et al.. (2019). Effect of passaging on the stemness of infrapatellar fat pad‑derived stem cells and potential role of nucleostemin as a prognostic marker of impaired stemness. Molecular Medicine Reports. 20(1). 813–829. 8 indexed citations
10.
Radhakrishnan, Subathra, et al.. (2019). In vitro transdifferentiation of human adipose tissue-derived stem cells to neural lineage cells - a stage-specific incidence. Adipocyte. 8(1). 164–177. 19 indexed citations
11.
Radhakrishnan, Subathra, Sakthivel Nagarajan, José María Meseguer Dueñas, et al.. (2019). An innovative bioresorbable gelatin based 3D scaffold that maintains the stemness of adipose tissue derived stem cells and the plasticity of differentiated neurons. RSC Advances. 9(25). 14452–14464. 12 indexed citations
12.

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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