Debjit Khan

832 total citations
21 papers, 398 citations indexed

About

Debjit Khan is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Debjit Khan has authored 21 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Debjit Khan's work include RNA modifications and cancer (10 papers), RNA Research and Splicing (10 papers) and Cancer-related Molecular Pathways (5 papers). Debjit Khan is often cited by papers focused on RNA modifications and cancer (10 papers), RNA Research and Splicing (10 papers) and Cancer-related Molecular Pathways (5 papers). Debjit Khan collaborates with scholars based in United States, India and Canada. Debjit Khan's co-authors include Saumitra Das, Sharathchandra Arandkar, Gabriel Leprivier, Poul H. Sorensen, Eric Jan, Barak Rotblat, Richa Grover, Moshe Oren, Adi Kimchi and Satarupa Das and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Debjit Khan

20 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debjit Khan United States 9 351 94 68 37 29 21 398
Tiago Gomes Spain 6 268 0.8× 52 0.6× 41 0.6× 43 1.2× 9 0.3× 8 327
Anjali Geethadevi United States 9 190 0.5× 79 0.8× 102 1.5× 22 0.6× 22 0.8× 17 304
Chiou-Nan Shiue Sweden 6 445 1.3× 122 1.3× 76 1.1× 42 1.1× 5 0.2× 6 509
Kathleen L. McCann United States 10 430 1.2× 45 0.5× 44 0.6× 20 0.5× 9 0.3× 12 461
Penelope D. Ruiz United States 8 306 0.9× 93 1.0× 28 0.4× 19 0.5× 7 0.2× 10 404
David Kallenberg United Kingdom 5 220 0.6× 71 0.8× 71 1.0× 35 0.9× 20 0.7× 7 289
Wai-Kin Chan United States 7 477 1.4× 20 0.2× 74 1.1× 28 0.8× 11 0.4× 10 541
Laura C. Cobbold United Kingdom 7 404 1.2× 41 0.4× 69 1.0× 21 0.6× 81 2.8× 7 453
Georgina D. Barnabas Israel 8 258 0.7× 42 0.4× 77 1.1× 17 0.5× 8 0.3× 13 304
Sitaram Gayatri United States 11 644 1.8× 50 0.5× 39 0.6× 36 1.0× 8 0.3× 15 690

Countries citing papers authored by Debjit Khan

Since Specialization
Citations

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

Fields of papers citing papers by Debjit Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debjit Khan

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

All Works

20 of 20 papers shown
1.
Hu, Aijun, Ammar B. Altemimi, Jie Zheng, et al.. (2025). Comparative analysis of navy bean starch nanoparticles prepared via ultrasound, enzymatic debranching, and their synergistic application. Scientific Reports. 15(1). 22154–22154.
2.
China, Arnab, K.I. Vasu, Debjit Khan, et al.. (2024). AKT-dependent nuclear localization of EPRS1 activates PARP1 in breast cancer cells. Proceedings of the National Academy of Sciences. 121(30). e2303642121–e2303642121. 3 indexed citations
3.
Khan, Debjit & Paul L. Fox. (2024). Host-like RNA Elements Regulate Virus Translation. Viruses. 16(3). 468–468. 5 indexed citations
4.
Khan, Debjit, Iyappan Ramachandiran, K.I. Vasu, et al.. (2024). Homozygous EPRS1 missense variant causing hypomyelinating leukodystrophy-15 alters variant-distal mRNA m6A site accessibility. Nature Communications. 15(1). 4284–4284. 2 indexed citations
5.
Khan, Debjit & Paul L. Fox. (2023). Aminoacyl-tRNA synthetase interactions in SARS-CoV-2 infection. Biochemical Society Transactions. 51(6). 2127–2141. 2 indexed citations
6.
Khan, Debjit, Fulvia Terenzi, Guanqun Liu, et al.. (2023). A viral pan-end RNA element and host complex define a SARS-CoV-2 regulon. Nature Communications. 14(1). 3385–3385. 9 indexed citations
7.
Vasu, K.I., et al.. (2023). Translational control of murine adiponectin expression by an upstream open reading frame element. RNA Biology. 20(1). 737–749. 2 indexed citations
8.
Vasu, K.I., Debjit Khan, Iyappan Ramachandiran, Daniel Blankenberg, & Paul L. Fox. (2022). Analysis of nested alternate open reading frames and their encoded proteins. NAR Genomics and Bioinformatics. 4(4). lqac076–lqac076. 2 indexed citations
9.
Vasu, K.I., Iyappan Ramachandiran, Fulvia Terenzi, et al.. (2021). The zinc-binding domain of mammalian prolyl-tRNA synthetase is indispensable for catalytic activity and organism viability. iScience. 24(3). 102215–102215. 4 indexed citations
10.
Delaidelli, Alberto, Gian Luca Negri, Asad Jan, et al.. (2017). MYCN amplified neuroblastoma requires the mRNA translation regulator eEF2 kinase to adapt to nutrient deprivation. Cell Death and Differentiation. 24(9). 1564–1576. 20 indexed citations
11.
George, Biju, et al.. (2017). Interplay between PTB and miR-1285 at the p53 3′UTR modulates the levels of p53 and its isoform Δ40p53α. Nucleic Acids Research. 45(17). 10206–10217. 14 indexed citations
12.
Delaidelli, Alberto, et al.. (2016). OS5 - 173 Inhibition of eEF2K as a Novel Therapeutic Strategy in Neuroblastoma and Medulloblastoma. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 43(S4). S3–S3. 2 indexed citations
13.
Khan, Debjit, et al.. (2015). Reversible induction of translational isoforms of p53 in glucose deprivation. Cell Death and Differentiation. 22(7). 1203–1218. 31 indexed citations
14.
Khan, Debjit, Samit Chattopadhyay, & Saumitra Das. (2015). Influence of metabolic stress on translation of p53 isoforms. Molecular & Cellular Oncology. 3(1). e1039689–e1039689. 5 indexed citations
15.
Leprivier, Gabriel, Barak Rotblat, Debjit Khan, Eric Jan, & Poul H. Sorensen. (2014). Stress-mediated translational control in cancer cells. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(7). 845–860. 98 indexed citations
16.
Weingarten-Gabbay, Shira, Debjit Khan, Noa Liberman, et al.. (2013). The translation initiation factor DAP5 promotes IRES-driven translation of p53 mRNA. Oncogene. 33(5). 611–618. 67 indexed citations
17.
Arandkar, Sharathchandra, et al.. (2012). Annexin A2 and PSF proteins interact with p53 IRES and regulate translation of p53 mRNA. RNA Biology. 9(12). 1429–1439. 52 indexed citations
18.
Khan, Debjit, et al.. (2012). Effect of a natural mutation in the 5′ untranslated region on the translational control of p53 mRNA. Oncogene. 32(35). 4148–4159. 31 indexed citations
19.
Grover, Richa, et al.. (2011). Effect of mutations on the p53 IRES RNA structure: Implications for de-regulation of the synthesis of p53 isoforms. RNA Biology. 8(1). 132–142. 39 indexed citations
20.
Wang, Yanfang, et al.. (2009). Genetic Characterization of a New Growth Habit Mutant in Tomato (Solanum lycopersicum). Plant Molecular Biology Reporter. 27(4). 431–438. 8 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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