Debina Sarkar

546 total citations
10 papers, 384 citations indexed

About

Debina Sarkar is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Debina Sarkar has authored 10 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Debina Sarkar's work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers) and MicroRNA in disease regulation (3 papers). Debina Sarkar is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers) and MicroRNA in disease regulation (3 papers). Debina Sarkar collaborates with scholars based in New Zealand, Australia and France. Debina Sarkar's co-authors include Marjan Askarian-Amiri, Bruce C. Baguley, Euphemia Leung, Graeme J. Finlay, Sarah D. Diermeier, Wayne R. Joseph, Brent A. Reynolds, Christopher Schmidt, Peter T. Simpson and Leesa Wockner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Debina Sarkar

9 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debina Sarkar New Zealand 6 286 186 120 49 25 10 384
Ana I. Oliveira Portugal 11 272 1.0× 148 0.8× 109 0.9× 73 1.5× 27 1.1× 17 415
Faying Xu China 4 289 1.0× 115 0.6× 105 0.9× 36 0.7× 23 0.9× 6 391
Ross Wanner United States 6 266 0.9× 197 1.1× 89 0.7× 63 1.3× 16 0.6× 13 365
Qun Zhang China 4 303 1.1× 158 0.8× 113 0.9× 23 0.5× 19 0.8× 8 369
Tingyang Wang China 4 252 0.9× 189 1.0× 131 1.1× 75 1.5× 13 0.5× 9 394
Liqiu Liao China 8 252 0.9× 87 0.5× 130 1.1× 70 1.4× 20 0.8× 17 342
Kiyoung Eun South Korea 8 258 0.9× 122 0.7× 181 1.5× 45 0.9× 24 1.0× 16 395
Size Chen China 11 310 1.1× 169 0.9× 178 1.5× 82 1.7× 17 0.7× 29 483
Jeroen M. Bugter Netherlands 6 304 1.1× 82 0.4× 102 0.8× 33 0.7× 38 1.5× 6 411
Jing Zuo China 13 297 1.0× 211 1.1× 117 1.0× 41 0.8× 19 0.8× 41 454

Countries citing papers authored by Debina Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Debina Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debina Sarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Debina Sarkar. A scholar is included among the top collaborators of Debina Sarkar 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 Debina Sarkar. Debina Sarkar 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.
Sarkar, Debina, et al.. (2025). Antibody functionalized targeted novel epigenetic nanotherapy for paediatric neuroblastoma. Colloids and Surfaces B Biointerfaces. 257. 115137–115137.
2.
Sarkar, Debina & Sarah D. Diermeier. (2022). LncRNA–Chromatin Pull-Down Using Biotin-Conjugated DNA Probes. Methods in molecular biology. 2458. 345–357. 1 indexed citations
3.
Ferraro‐Peyret, Carole, Marjan Askarian-Amiri, Debina Sarkar, et al.. (2021). SOX2OT Long Noncoding RNA Is Regulated by the UPR in Oestrogen Receptor-Positive Breast Cancer. SHILAP Revista de lepidopterología. 3(2). 26–26. 2 indexed citations
4.
Sarkar, Debina & Sarah D. Diermeier. (2021). Circular RNAs: Potential Applications as Therapeutic Targets and Biomarkers in Breast Cancer. Non-Coding RNA. 7(1). 2–2. 23 indexed citations
5.
Ferraro‐Peyret, Carole, Marjan Askarian-Amiri, Debina Sarkar, et al.. (2020). SOX2OT Long Noncoding RNA Is Regulated by the UPR in Oestrogen Receptor-Positive Breast Cancer. Sci. 2(2). 24–24. 1 indexed citations
6.
Leung, Euphemia, Marjan Askarian-Amiri, Debina Sarkar, et al.. (2017). Endocrine Therapy of Estrogen Receptor-Positive Breast Cancer Cells: Early Differential Effects on Stem Cell Markers. Frontiers in Oncology. 7. 184–184. 27 indexed citations
7.
Sarkar, Debina, Ali Oghabian, Wayne R. Joseph, et al.. (2017). Multiple Isoforms of ANRIL in Melanoma Cells: Structural Complexity Suggests Variations in Processing. International Journal of Molecular Sciences. 18(7). 1378–1378. 33 indexed citations
8.
Sarkar, Debina, Euphemia Leung, Bruce C. Baguley, Graeme J. Finlay, & Marjan Askarian-Amiri. (2015). Epigenetic regulation in human melanoma: past and future. Epigenetics. 10(2). 103–121. 227 indexed citations
10.
Smart, Chanel E., Brian J. Morrison, Jodi M. Saunus, et al.. (2013). In Vitro Analysis of Breast Cancer Cell Line Tumourspheres and Primary Human Breast Epithelia Mammospheres Demonstrates Inter- and Intrasphere Heterogeneity. PLoS ONE. 8(6). e64388–e64388. 55 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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