Sandeep Singh

4.3k total citations · 1 hit paper
49 papers, 3.0k citations indexed

About

Sandeep Singh is a scholar working on Molecular Biology, Cancer Research and Microbiology. According to data from OpenAlex, Sandeep Singh has authored 49 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Microbiology. Recurrent topics in Sandeep Singh's work include RNA modifications and cancer (12 papers), RNA Research and Splicing (12 papers) and vaccines and immunoinformatics approaches (9 papers). Sandeep Singh is often cited by papers focused on RNA modifications and cancer (12 papers), RNA Research and Splicing (12 papers) and vaccines and immunoinformatics approaches (9 papers). Sandeep Singh collaborates with scholars based in India, United States and China. Sandeep Singh's co-authors include Gajendra P. S. Raghava, Ankur Gautam, Kumardeep Chaudhary, Salman Sadullah Usmani, Deepika Mathur, Abhishek Tuknait, Piyush Agrawal, Priya Anand, Harinder Singh and Meenu Sharma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Sandeep Singh

46 papers receiving 3.0k citations

Hit Papers

THPdb: Database of FDA-approved peptide and protein thera... 2017 2026 2020 2023 2017 100 200 300
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. THPdb: Database of FDA-approved peptide and protein therapeutics
    2017 365 citations Salman Sadullah Usmani, Sandeep Singh et al. PLoS ONE profile →

Peers

Sandeep Singh
Piyush Agrawal India
Salman Sadullah Usmani India
Mikaël Trellet Netherlands
Kathryn A. Porter United States
Sylvie E. Blondelle United States
Grish C. Varshney India
Christine Yueh United States
Adrien S. J. Melquiond Netherlands
Mark Paetzel Canada
Ezgi Karaca Türkiye
Piyush Agrawal India
Sandeep Singh
Citations per year, relative to Sandeep Singh Sandeep Singh (= 1×) peers Piyush Agrawal

Countries citing papers authored by Sandeep Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Singh. A scholar is included among the top collaborators of Sandeep Singh 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 Sandeep Singh. Sandeep Singh 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.
Patel, Sunil, et al.. (2025). Ferulic acid photoconversion maintains Nrf2-mediated antioxidant defense against UVA damage. Phytomedicine. 150. 157616–157616.
2.
Wang, Qiong, Bisheng Cheng, Sandeep Singh, et al.. (2024). A protein-encoding CCDC7 circular RNA inhibits the progression of prostate cancer by up-regulating FLRT3. npj Precision Oncology. 8(1). 11–11. 21 indexed citations
3.
Chen, Chen, Fujun Qin, Sandeep Singh, Yue Tang, & Hui Li. (2023). CTNNBIP1-CLSTN1 functions as a housekeeping chimeric RNA and regulates cell proliferation through SERPINE2. Cell Death Discovery. 9(1). 369–369. 4 indexed citations
4.
Wang, Qiong, Sandeep Singh, Zhongqiu Xie, et al.. (2022). Profile of chimeric RNAs and TMPRSS2-ERG e2e4 isoform in neuroendocrine prostate cancer. Cell & Bioscience. 12(1). 153–153. 17 indexed citations
5.
Wu, Hao, Sandeep Singh, Zhongqiu Xie, Xiaorong Li, & Hui Li. (2020). Landscape characterization of chimeric RNAs in colorectal cancer. Cancer Letters. 489. 56–65. 15 indexed citations
6.
Singh, Sandeep, Karol Szlachta, Arkadi Manukyan, et al.. (2020). Pausing sites of RNA polymerase II on actively transcribed genes are enriched in DNA double-stranded breaks. Journal of Biological Chemistry. 295(12). 3990–4000. 18 indexed citations
7.
Xie, Zhongqiu, Paweł Janczyk, Ying Zhang, et al.. (2020). A cytoskeleton regulator AVIL drives tumorigenesis in glioblastoma. Nature Communications. 11(1). 3457–3457. 55 indexed citations
8.
Gupta, Anil, et al.. (2019). Feasibility of 4D CT simulation with synchronized intravenous contrast injection in hepatocellular carcinoma. Reports of Practical Oncology & Radiotherapy. 25(2). 293–298. 10 indexed citations
9.
Zhu, Dingjun, Sandeep Singh, Xu Chen, et al.. (2019). The landscape of chimeric RNAs in bladder urothelial carcinoma. The International Journal of Biochemistry & Cell Biology. 110. 50–58. 27 indexed citations
10.
Mathur, Deepika, et al.. (2018). In silico approaches for predicting the half-life of natural and modified peptides in blood. PLoS ONE. 13(6). e0196829–e0196829. 86 indexed citations
11.
Nagpal, Gandharva, Salman Sadullah Usmani, Sandeep Kumar Dhanda, et al.. (2017). Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential. Scientific Reports. 7(1). 42851–42851. 221 indexed citations
12.
Mathur, Deepika, Satya Prakash, Priya Anand, et al.. (2016). PEPlife: A Repository of the Half-life of Peptides. Scientific Reports. 6(1). 36617–36617. 121 indexed citations
13.
Gupta, Amit, Karambir Kaur, Akanksha Rajput, et al.. (2016). ZikaVR: An Integrated Zika Virus Resource for Genomics, Proteomics, Phylogenetic and Therapeutic Analysis. Scientific Reports. 6(1). 32713–32713. 37 indexed citations
14.
Chaudhary, Kumardeep, Ritesh Kumar, Sandeep Singh, et al.. (2016). A Web Server and Mobile App for Computing Hemolytic Potency of Peptides. Scientific Reports. 6(1). 22843–22843. 178 indexed citations
15.
Singh, Sandeep, Kumardeep Chaudhary, Sandeep Kumar Dhanda, et al.. (2015). SATPdb: a database of structurally annotated therapeutic peptides. Nucleic Acids Research. 44(D1). D1119–D1126. 169 indexed citations
16.
Singh, Sandeep, et al.. (2015). AntiAngioPred: A Server for Prediction of Anti-Angiogenic Peptides. PLoS ONE. 10(9). e0136990–e0136990. 68 indexed citations
17.
Agrawal, Piyush, Sherry Bhalla, Salman Sadullah Usmani, et al.. (2015). CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides. Nucleic Acids Research. 44(D1). D1098–D1103. 259 indexed citations
18.
Singh, Harinder, Sandeep Singh, & Gajendra P. S. Raghava. (2014). Evaluation of Protein Dihedral Angle Prediction Methods. PLoS ONE. 9(8). e105667–e105667. 15 indexed citations
19.
Kumar, Ravi, Kumardeep Chaudhary, Minakshi Sharma, et al.. (2014). AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides. Nucleic Acids Research. 43(D1). D956–D962. 171 indexed citations
20.
Gautam, Ankur, Kumardeep Chaudhary, Sandeep Singh, et al.. (2013). Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides. Nucleic Acids Research. 42(D1). D444–D449. 123 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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