Ankita Singh

614 total citations
23 papers, 338 citations indexed

About

Ankita Singh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Ankita Singh has authored 23 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Computer Networks and Communications. Recurrent topics in Ankita Singh's work include RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (4 papers) and Computational Drug Discovery Methods (3 papers). Ankita Singh is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (4 papers) and Computational Drug Discovery Methods (3 papers). Ankita Singh collaborates with scholars based in India, United States and Denmark. Ankita Singh's co-authors include B. Jayaram, Rahul Kaushik, Avinash Mishra, Asheesh Shanker, Helene Faustrup Kildegaard, Mikael Rørdam Andersen, Shashank Shekhar, Priyanka Dhingra, Ulf Andersson Ørom and Goutam Mukherjee and has published in prestigious journals such as Cell, Nucleic Acids Research and Biochemistry.

In The Last Decade

Ankita Singh

20 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ankita Singh India	10	250	37	27	26	24	23	338
Piyush B. Madhamshettiwar Australia	9	333 1.3×	37 1.0×	11 0.4×	25 1.0×	24 1.0×	14	425
Shuye Tian China	11	300 1.2×	38 1.0×	21 0.8×	23 0.9×	23 1.0×	14	424
Katarzyna Jonak Germany	6	255 1.0×	34 0.9×	16 0.6×	11 0.4×	11 0.5×	10	290
María Elena Ochagavia Cuba	7	247 1.0×	32 0.9×	59 2.2×	23 0.9×	40 1.7×	15	460
Cheng-Yan Kao Taiwan	11	254 1.0×	22 0.6×	18 0.7×	24 0.9×	76 3.2×	14	382
Santhilata Kuppili Venkata United Kingdom	2	304 1.2×	103 2.8×	37 1.4×	35 1.3×	22 0.9×	5	407
Antonio Turi Italy	8	367 1.5×	60 1.6×	28 1.0×	50 1.9×	31 1.3×	10	472
Roger Olivella Spain	4	277 1.1×	12 0.3×	22 0.8×	19 0.7×	34 1.4×	5	350
Nighat Noureen Pakistan	9	206 0.8×	26 0.7×	41 1.5×	22 0.8×	10 0.4×	23	278

Countries citing papers authored by Ankita Singh

Since Specialization

Citations

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

Fields of papers citing papers by Ankita Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankita Singh

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

All Works

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20 of 20 papers shown

Singh, Ankita, Rajesh K. Yadav, Chandani Singh, et al.. (2025). Transforming CO ₂ into formic acid by integrated solar‐driven catalyst‐enzyme coupled artificial photosynthetic system. Photochemistry and Photobiology. 101(6). 1480–1490. 1 indexed citations

Singh, Ankita, et al.. (2025). Effect of polyethylene glycol on rheological, thermo‐mechanical, and tribological behavior of epoxy. Polymer Engineering and Science. 65(3). 1433–1447. 4 indexed citations

Kudrin, Pavel, Ankita Singh, David Meierhofer, Anna Kuśnierczyk, & Ulf Andersson Ørom. (2024). N4-acetylcytidine (ac4C) promotes mRNA localization to stress granules. EMBO Reports. 25(4). 1814–1834. 13 indexed citations

Sathasivam, Kirupa, Ankita Singh, Daniel del Toro, et al.. (2024). m6A modification of mutant huntingtin RNA promotes the biogenesis of pathogenic huntingtin transcripts. EMBO Reports. 25(11). 5026–5052. 3 indexed citations

Joung, Julia, Sai Ma, Tristan Tay, et al.. (2023). A transcription factor atlas of directed differentiation. Cell. 186(1). 209–229.e26. 96 indexed citations

Cui, Naiwen, et al.. (2022). Microfluidic Enrichment and Computational Analysis of Rare Sequences from Mixed Genomic Samples for Metagenomic Mining. The CRISPR Journal. 5(5). 677–684.

Singh, Ankita, Anna Sancho‐Balsells, Albert Giralt, et al.. (2022). Altered m6A RNA methylation contributes to hippocampal memory deficits in Huntington’s disease mice. Cellular and Molecular Life Sciences. 79(8). 416–416. 28 indexed citations

Singh, Ankita, Ravi Rajwanshi, Neelam Prabha Negi, et al.. (2022). Exogenous Melatonin Counteracts Salinity and Cadmium Stress via Photosynthetic Machinery and Antioxidant Modulation in Solanum lycopersicum L. Journal of Plant Growth Regulation. 42(10). 6332–6348. 13 indexed citations

Kaushik, Rahul, Ankita Singh, Abhilash Jayaraj, et al.. (2020). A comprehensive automated computer-aided discovery pipeline from genomes to hit molecules. Chemical Engineering Science. 222. 115711–115711. 2 indexed citations

10.

Singh, Ankita, et al.. (2020). Simulation of Tic-Tac-Toe Game using LabVIEW. IOP Conference Series Materials Science and Engineering. 995(1). 12026–12026. 1 indexed citations

11.

Singh, Ankita, et al.. (2020). PvP01-DB: computational structural and functional characterization of soluble proteome of PvP01 strain of Plasmodium vivax. Database. 2020. 2 indexed citations

12.

Singh, Ankita, Helene Faustrup Kildegaard, & Mikael Rørdam Andersen. (2018). An Online Compendium of CHO RNA‐Seq Data Allows Identification of CHO Cell Line‐Specific Transcriptomic Signatures. Biotechnology Journal. 13(10). e1800070–e1800070. 22 indexed citations

13.

Singh, Ankita, et al.. (2018). PvaxDB: a comprehensive structural repository ofPlasmodium vivaxproteome. Database. 2018. 3 indexed citations

14.

Kaushik, Rahul, Ankita Singh, & B. Jayaram. (2017). Where Informatics Lags Chemistry Leads. Biochemistry. 57(5). 503–506. 15 indexed citations

15.

Upadhyay, Pawan, Nilesh Gardi, Sanket Desai, et al.. (2016). TMC-SNPdb: an Indian germline variant database derived from whole exome sequences. Database. 2016. baw104–baw104. 8 indexed citations

16.

Singh, Ankita, Rahul Kaushik, Avinash Mishra, Asheesh Shanker, & B. Jayaram. (2015). ProTSAV: A protein tertiary structure analysis and validation server. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1864(1). 11–19. 57 indexed citations

17.

Chandrani, Pratik, Pawan Upadhyay, Prajish Iyer, et al.. (2015). Integrated genomics approach to identify biologically relevant alterations in fewer samples. BMC Genomics. 16(1). 936–936. 5 indexed citations

18.

Jayaram, B., Priyanka Dhingra, Avinash Mishra, et al.. (2014). Bhageerath-H: A homology/ab initio hybrid server for predicting tertiary structures of monomeric soluble proteins. BMC Bioinformatics. 15(S16). S7–S7. 42 indexed citations

19.

Kumar, Atul, et al.. (2013). An Approach to Detect Packets Using Packet Sniffing. 4(3). 21–33. 10 indexed citations

20.

Singh, Ankita, et al.. (1964). NEUROPARALYTIC COMPLICATIONS OF ANTIRABIES VACCINATION.. PubMed. 42. 320–4. 1 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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