Bibekanand Mallick

2.8k total citations · 1 hit paper
71 papers, 2.2k citations indexed

About

Bibekanand Mallick is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Bibekanand Mallick has authored 71 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 37 papers in Cancer Research and 15 papers in Plant Science. Recurrent topics in Bibekanand Mallick's work include MicroRNA in disease regulation (33 papers), Cancer-related molecular mechanisms research (18 papers) and RNA modifications and cancer (14 papers). Bibekanand Mallick is often cited by papers focused on MicroRNA in disease regulation (33 papers), Cancer-related molecular mechanisms research (18 papers) and RNA modifications and cancer (14 papers). Bibekanand Mallick collaborates with scholars based in India, United States and Netherlands. Bibekanand Mallick's co-authors include Zhumur Ghosh, Jayprokas Chakrabarti, Suman Jha, Jyoti Roy, Manoranjan Arakha, Devyani Samantarrai, Bairagi C. Mallick, Krishna Pramanik, Basudeb Das and Neha Jain and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Bibekanand Mallick

70 papers receiving 2.1k citations

Hit Papers

Antimicrobial activity of iron oxide nanoparticle upon mo... 2015 2026 2018 2022 2015 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Antimicrobial activity of iron oxide nanoparticle upon modulation of nanoparticle-bacteria interface
    2015 601 citations Manoranjan Arakha, Bibekanand Mallick et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bibekanand Mallick India 24 1.2k 701 479 280 229 71 2.2k
Chun‐Bo Teng China 25 884 0.8× 442 0.6× 522 1.1× 73 0.3× 208 0.9× 62 2.2k
Anna Lewińska Poland 30 1.4k 1.2× 342 0.5× 289 0.6× 246 0.9× 283 1.2× 111 2.7k
Maciej Wnuk Poland 30 1.4k 1.2× 364 0.5× 306 0.6× 282 1.0× 276 1.2× 133 2.8k
Ning Ding China 29 1.3k 1.1× 411 0.6× 127 0.3× 366 1.3× 253 1.1× 100 2.4k
Miaomiao Li China 28 1.4k 1.2× 325 0.5× 193 0.4× 615 2.2× 92 0.4× 141 2.7k
Jiajie Sun China 31 1.7k 1.5× 1.2k 1.7× 204 0.4× 216 0.8× 73 0.3× 151 3.0k
Yanhua Liu China 33 2.0k 1.7× 698 1.0× 94 0.2× 568 2.0× 341 1.5× 149 3.4k
Jiaojiao Li China 24 1.3k 1.1× 167 0.2× 192 0.4× 213 0.8× 439 1.9× 78 2.2k
Ruiming Wang China 20 937 0.8× 221 0.3× 417 0.9× 266 0.9× 291 1.3× 111 1.9k
Keuk‐Jun Kim South Korea 22 628 0.5× 163 0.2× 903 1.9× 179 0.6× 407 1.8× 58 2.4k

Countries citing papers authored by Bibekanand Mallick

Since Specialization
Citations

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

Fields of papers citing papers by Bibekanand Mallick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bibekanand Mallick

This figure shows the co-authorship network connecting the top 25 collaborators of Bibekanand Mallick. A scholar is included among the top collaborators of Bibekanand Mallick 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 Bibekanand Mallick. Bibekanand Mallick 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.
Mallick, Bibekanand, et al.. (2025). Silent Guardians Gone Rogue: The Role of PIWI and piRNA in Malignant Transformation. IUBMB Life. 77(11). e70077–e70077. 1 indexed citations
2.
3.
Mallick, Bibekanand, et al.. (2024). Unlocking the potential of signature-based drug repurposing for anticancer drug discovery. Archives of Biochemistry and Biophysics. 761. 110150–110150. 5 indexed citations
4.
Ray, Sukanta, et al.. (2024). Correlating tissue and plasma‑specific piRNA changes to predict their possible role in pancreatic malignancy and chronic inflammation. Biomedical Reports. 21(6). 186–186. 4 indexed citations
5.
Mallick, Bibekanand, et al.. (2024). miR-185–5p rewires cisplatin resistance by restoring miR-203a-3p expression via downregulation of SOX9. DNA repair. 142. 103750–103750. 4 indexed citations
6.
Mallick, Bibekanand, et al.. (2023). miR‐203a—A multifaceted regulator modulating cancer hallmarks and therapy response. IUBMB Life. 76(3). 108–124. 8 indexed citations
7.
Gupta, Pooja, et al.. (2023). TarpiD, a database of putative and validated targets of piRNAs. Molecular Omics. 19(9). 706–713. 4 indexed citations
8.
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Gupta, Pooja, et al.. (2022). miRNome-transcriptome analysis unveils the key regulatory pathways involved in the tumorigenesis of tongue squamous cell carcinoma. Briefings in Functional Genomics. 21(6). 466–477. 4 indexed citations
10.
Das, Basudeb, et al.. (2022). HIWI2 induces G2/M cell cycle arrest and apoptosis in human fibrosarcoma via the ROS/DNA damage/p53 axis. Life Sciences. 293. 120353–120353. 20 indexed citations
11.
Jain, Neha, et al.. (2021). Non‐coding RNAs and their cross‐talks impacting reproductive health of women. Wiley Interdisciplinary Reviews - RNA. 13(3). e1695–e1695. 15 indexed citations
12.
Arakha, Manoranjan, et al.. (2018). Preferential binding to zinc oxide nanoparticle interface inhibits lysozyme fibrillation and cytotoxicity. International Journal of Biological Macromolecules. 116. 955–965. 19 indexed citations
13.
Arakha, Manoranjan, et al.. (2018). Silver nanoparticles fabricated using medicinal plant extracts show enhanced antimicrobial and selective cytotoxic propensities. IET Nanobiotechnology. 13(2). 193–201. 23 indexed citations
14.
Mallick, Bibekanand, et al.. (2018). Modulation of specific cell cycle phases in human embryonic stem cells by lncRNA RNA decoys. Journal of Molecular Recognition. 32(3). e2763–e2763. 5 indexed citations
15.
Roy, Jyoti, et al.. (2017). Small RNA sequencing revealed dysregulated piRNAs in Alzheimer's disease and their probable role in pathogenesis. Molecular BioSystems. 13(3). 565–576. 104 indexed citations
16.
17.
Liu, Chaochun, Bibekanand Mallick, Dang Long, et al.. (2013). CLIP-based prediction of mammalian microRNA binding sites. Nucleic Acids Research. 41(14). e138–e138. 80 indexed citations
18.
Mallick, Bibekanand & Zhumur Ghosh. (2012). Regulatory RNAs : basics, methods and applications. DIAL (Catholic University of Leuven). 6 indexed citations
19.
Köhrer, Caroline, Gayathri Srinivasan, Debabrata Mandal, et al.. (2007). Identification and characterization of a tRNA decoding the rare AUA codon inHaloarcula marismortui. RNA. 14(1). 117–126. 30 indexed citations
20.
Chakrabarti, Jayprokas, et al.. (2005). A new measure to study phylogenetic relations in the brown algal order Ectocarpales: The “codon impact parameter”. Journal of Biosciences. 30(5). 699–709. 2 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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