Santhilal Subhash

1.9k total citations · 1 hit paper
17 papers, 826 citations indexed

About

Santhilal Subhash is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Santhilal Subhash has authored 17 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Cancer Research and 3 papers in Neurology. Recurrent topics in Santhilal Subhash's work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and RNA Research and Splicing (6 papers). Santhilal Subhash is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and RNA Research and Splicing (6 papers). Santhilal Subhash collaborates with scholars based in Sweden, Italy and United States. Santhilal Subhash's co-authors include Chandrasekhar Kanduri, Sanhita Mitra, Tanmoy Mondal, Fredrik Westerlund, Alva Rani James, Andrew H. Sims, Steven J.M. Jones, Stefan Enroth, Roshan Vaid and Arif Mohammed and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Santhilal Subhash

16 papers receiving 819 citations

Hit Papers

align trajectories

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.

MEG3 long noncoding RNA regulates the TGF-β pathway genes through formation of RNA–DNA triplex structures

2015 511 citations Tanmoy Mondal, Santhilal Subhash et al. Nature Communications profile →

Peers

Santhilal Subhash

MB

CR

GENET

EPIDE

SURGE

Roshan Vaid Sweden

Emily Hoberg Sweden

Lijuan Li China

Berta Victoria United States

Jasper Anckaert Belgium

Aditya Bhagwate United States

Shaoqiang Wang China

Xiuli Wang China

Doaa Fathi Egypt

Roshan Vaid Sweden

Santhilal Subhash

662 ×0.9

MB

445 ×0.8

CR

52 ×1.1

GENET

37 ×0.9

EPIDE

33 ×0.9

SURGE

Citations per year, relative to Santhilal Subhash Santhilal Subhash (= 1×) peers Roshan Vaid

Countries citing papers authored by Santhilal Subhash

Since Specialization

Citations

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

Fields of papers citing papers by Santhilal Subhash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santhilal Subhash

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

All Works

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17 of 17 papers shown

1.

Vrtačnik, Peter, Santhilal Subhash, Hafdís T. Helgadóttir, et al.. (2025). Induced somatic mutation accumulation during skeletal muscle regeneration reduces muscle strength. Nature Aging. 5(9). 1739–1749.

2.

Kanduri, Meena, et al.. (2025). IER3: exploring its dual function as an oncogene and tumor suppressor. Cancer Gene Therapy. 32(4). 450–463. 2 indexed citations

3.

Ma, Haixia, Valentina Sukonina, Meng Fang, et al.. (2023). The transcription factor Foxp1 regulates aerobic glycolysis in adipocytes and myocytes. Journal of Biological Chemistry. 299(6). 104795–104795. 3 indexed citations

4.

Subhash, Santhilal, Zhicheng Hu, Majd Mohammad, et al.. (2023). Gene expression of S100a8/a9 predicts Staphylococcus aureus-induced septic arthritis in mice. Frontiers in Microbiology. 14. 1146694–1146694. 3 indexed citations

5.

Subhash, Santhilal, Subazini Thankaswamy Kosalai, Jagannath Kuchlyan, et al.. (2022). HnRNPK maintains single strand RNA through controlling double-strand RNA in mammalian cells. Nature Communications. 13(1). 4865–4865. 5 indexed citations

6.

Mitra, Sanhita, Somsundar Veppil Muralidharan, Subazini Thankaswamy Kosalai, et al.. (2020). Subcellular Distribution of p53 by the p53-Responsive lncRNA NBAT1 Determines Chemotherapeutic Response in Neuroblastoma. Cancer Research. 81(6). 1457–1471. 25 indexed citations

7.

Subhash, Santhilal, Meena Kanduri, & Chandrasekhar Kanduri. (2020). Sperm Originated Chromatin Imprints and LincRNAs in Organismal Development and Cancer. iScience. 23(6). 101165–101165. 2 indexed citations

8.

Subhash, Santhilal, Norman Kalmbach, Florian Wegner, et al.. (2019). Transcriptome-wide Profiling of Cerebral Cavernous Malformations Patients Reveal Important Long noncoding RNA molecular signatures. Scientific Reports. 9(1). 18203–18203. 14 indexed citations

9.

Akhade, Vijay Suresh, Subazini Thankaswamy Kosalai, Santhilal Subhash, et al.. (2018). PAN-cancer analysis of S-phase enriched lncRNAs identifies oncogenic drivers and biomarkers. Nature Communications. 9(1). 883–883. 78 indexed citations

10.

Subhash, Santhilal, Kankadeb Mishra, Vijay Suresh Akhade, et al.. (2018). H3K4me2 and WDR5 enriched chromatin interacting long non-coding RNAs maintain transcriptionally competent chromatin at divergent transcriptional units. Nucleic Acids Research. 46(18). 9384–9400. 22 indexed citations

11.

Subhash, Santhilal & Meena Kanduri. (2017). Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients. Journal of Visualized Experiments. 2 indexed citations

12.

Mondal, Tanmoy, Santhilal Subhash, & Chandrasekhar Kanduri. (2017). Chromatin RNA Immunoprecipitation (ChRIP). Methods in molecular biology. 1689. 65–76. 13 indexed citations

13.

Subhash, Santhilal & Meena Kanduri. (2017). Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients. Journal of Visualized Experiments. 1 indexed citations

14.

Subhash, Santhilal, Per‐Ola Andersson, Subazini Thankaswamy Kosalai, Chandrasekhar Kanduri, & Meena Kanduri. (2016). Global DNA methylation profiling reveals new insights into epigenetically deregulated protein coding and long noncoding RNAs in CLL. Clinical Epigenetics. 8(1). 106–106. 41 indexed citations

15.

Subhash, Santhilal & Chandrasekhar Kanduri. (2016). GeneSCF: a real-time based functional enrichment tool with support for multiple organisms. BMC Bioinformatics. 17(1). 365–365. 67 indexed citations

16.

Mondal, Tanmoy, Santhilal Subhash, Roshan Vaid, et al.. (2015). MEG3 long noncoding RNA regulates the TGF-β pathway genes through formation of RNA–DNA triplex structures. Nature Communications. 6(1). 7743–7743. 511 indexed citations breakdown →

17.

Meryet‐Figuière, Matthieu, Babak Alaei-Mahabadi, Sanhita Mitra, et al.. (2014). Temporal separation of replication and transcription during S-phase progression. Cell Cycle. 13(20). 3241–3248. 37 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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