Aparna Jayachandran

1.5k total citations
39 papers, 1.2k citations indexed

About

Aparna Jayachandran is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Aparna Jayachandran has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 19 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Aparna Jayachandran's work include Cancer Cells and Metastasis (10 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Liver physiology and pathology (4 papers). Aparna Jayachandran is often cited by papers focused on Cancer Cells and Metastasis (10 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Liver physiology and pathology (4 papers). Aparna Jayachandran collaborates with scholars based in Australia, Canada and South Korea. Aparna Jayachandran's co-authors include Jason C. Steel, Bijay Dhungel, Ritu Shrestha, Prashanth Prithviraj, Dorothy H. Crawford, Kim R. Bridle, Matthew Anaka, Jonathan Cebon, Andreas Behren and Oliver Eickelberg and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and The FASEB Journal.

In The Last Decade

Aparna Jayachandran

38 papers receiving 1.2k citations

Peers

Aparna Jayachandran

ONCOL

IMMUN

PRM

Guangjie Duan China

Miguel Murillo Spain

Hao‐Xiang Wu China

Claire Viallard France

Larry Lai Wei Hong Kong

Beiyuan Hu China

Sorin Armeanu–Ebinger Germany

Laura G.M. Daenen Netherlands

Shawna Organ Canada

Yanyan Shen China

Guangjie Duan China

Aparna Jayachandran

642 ×1.0

360 ×0.8

ONCOL

283 ×1.0

140 ×0.7

IMMUN

140 ×0.7

PRM

Citations per year, relative to Aparna Jayachandran Aparna Jayachandran (= 1×) peers Guangjie Duan

Countries citing papers authored by Aparna Jayachandran

Since Specialization

Citations

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

Fields of papers citing papers by Aparna Jayachandran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aparna Jayachandran

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

All Works

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20 of 20 papers shown

Bao, Lei, Jiali Zhai, Aparna Jayachandran, et al.. (2025). Microgel-based bioink for extrusion-based 3D bioprinting and its applications in tissue engineering. Bioactive Materials. 48. 273–293. 7 indexed citations

Singh, Vijai, et al.. (2024). Recent progress in CRISPR/Cas9 system for eye disorders. Progress in molecular biology and translational science. 210. 21–46. 1 indexed citations

Prithviraj, Prashanth, Rodney B. Luwor, Ravi Shukla, et al.. (2024). Advances in CRISPR/Cas systems-based cell and gene therapy. Progress in molecular biology and translational science. 208. 161–183. 1 indexed citations

Suresh, Bharathi, et al.. (2024). Advances in applications of the CRISPR/Cas9 system for respiratory diseases. Progress in molecular biology and translational science. 210. 127–147.

Poddar, Arpita, et al.. (2024). The role of pregnancy associated plasma protein-A in triple negative breast cancer: a promising target for achieving clinical benefits. Journal of Biomedical Science. 31(1). 23–23. 5 indexed citations

Shrestha, Ritu, Kim R. Bridle, Dorothy H. Crawford, & Aparna Jayachandran. (2021). Immune checkpoint molecules are regulated by transforming growth factor (TGF)-β1-induced epithelial-to-mesenchymal transition in hepatocellular carcinoma. International Journal of Medical Sciences. 18(12). 2466–2479. 20 indexed citations

Cao, Lu, Prashanth Prithviraj, Ritu Shrestha, et al.. (2021). Prognostic Role of Immune Checkpoint Regulators in Cholangiocarcinoma: A Pilot Study. Journal of Clinical Medicine. 10(10). 2191–2191. 15 indexed citations

Prithviraj, Prashanth, Matthew Anaka, Erik W. Thompson, et al.. (2020). Aberrant pregnancy-associated plasma protein-A expression in breast cancers prognosticates clinical outcomes. Scientific Reports. 10(1). 13779–13779. 7 indexed citations

Dhungel, Bijay, et al.. (2018). Evaluation of the Glypican 3 promoter for transcriptional targeting of hepatocellular carcinoma. Gene Therapy. 25(2). 115–128. 14 indexed citations

10.

Shrestha, Ritu, Prashanth Prithviraj, Matthew Anaka, et al.. (2018). Monitoring Immune Checkpoint Regulators as Predictive Biomarkers in Hepatocellular Carcinoma. Frontiers in Oncology. 8. 269–269. 103 indexed citations

11.

Wang, Haolu, Run Zhang, Kim R. Bridle, et al.. (2017). Two-photon dual imaging platform for in vivo monitoring cellular oxidative stress in liver injury. Scientific Reports. 7(1). 45374–45374. 45 indexed citations

12.

Dhungel, Bijay, Aparna Jayachandran, Christopher J. Layton, & Jason C. Steel. (2017). Seek and destroy: targeted adeno-associated viruses for gene delivery to hepatocellular carcinoma. Drug Delivery. 24(1). 289–299. 21 indexed citations

13.

Jayachandran, Aparna, et al.. (2017). Murine hepatocellular carcinoma derived stem cells reveal epithelial-to-mesenchymal plasticity. World Journal of Stem Cells. 9(9). 159–168. 12 indexed citations

14.

Tögel, Lars, Anderly C. Chüeh, Aparna Jayachandran, et al.. (2016). Dual Targeting of Bromodomain and Extraterminal Domain Proteins, and WNT or MAPK Signaling, Inhibits c-MYC Expression and Proliferation of Colorectal Cancer Cells. Molecular Cancer Therapeutics. 15(6). 1217–1226. 74 indexed citations

15.

Jayachandran, Aparna, Anderly C. Chüeh, Prashanth Prithviraj, et al.. (2016). Transketolase-like 1 ectopic expression is associated with DNA hypomethylation and induces the Warburg effect in melanoma cells. BMC Cancer. 16(1). 134–134. 28 indexed citations

16.

Jayachandran, Aparna, Bijay Dhungel, & Jason C. Steel. (2016). Epithelial-to-mesenchymal plasticity of cancer stem cells: therapeutic targets in hepatocellular carcinoma. Journal of Hematology & Oncology. 9(1). 74–74. 153 indexed citations

17.

Jayachandran, Aparna, et al.. (2015). Epithelial-to-Mesenchymal Transition as a Potential Target for Antineoplastic Therapies. 1(1). 1–3. 1 indexed citations

18.

Jayachandran, Aparna, et al.. (2015). Embryonic Chicken Transplantation is a Promising Model for Studying the Invasive Behavior of Melanoma Cells. Frontiers in Oncology. 5. 36–36. 8 indexed citations

19.

Woods, Katherine, Anupama Pasam, Aparna Jayachandran, Miles C. Andrews, & Jonathan Cebon. (2014). Effects of Epithelial to Mesenchymal Transition on T Cell Targeting of Melanoma Cells. Frontiers in Oncology. 4. 367–367. 27 indexed citations

20.

Lange-Sperandio, Bärbel, Agnes Trautmann, Oliver Eickelberg, et al.. (2007). Leukocytes Induce Epithelial to Mesenchymal Transition after Unilateral Ureteral Obstruction in Neonatal Mice. American Journal Of Pathology. 171(3). 861–871. 82 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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