Ayushi Verma

765 total citations
33 papers, 376 citations indexed

About

Ayushi Verma is a scholar working on Molecular Biology, Information Systems and Artificial Intelligence. According to data from OpenAlex, Ayushi Verma has authored 33 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Ayushi Verma's work include Advanced Proteomics Techniques and Applications (4 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (4 papers). Ayushi Verma is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (4 papers). Ayushi Verma collaborates with scholars based in India, Malaysia and South Korea. Ayushi Verma's co-authors include Dipak Datta, Mushtaq Ahmad Nengroo, Krishan Kumar Saini, Akhilesh Singh, Sanjeev Meena, Neetu Sardana, Anup K. Singh, Sanjeeva Srivastava, Manish Pratap Singh and Jayanta Sarkar and has published in prestigious journals such as Nature Communications, Cancer Research and Cell Death and Disease.

In The Last Decade

Ayushi Verma

29 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ayushi Verma India	11	176	68	58	51	50	33	376
Ammar Ammar Netherlands	7	357 2.0×	52 0.8×	92 1.6×	57 1.1×	41 0.8×	19	621
Yue Fan China	12	251 1.4×	73 1.1×	71 1.2×	54 1.1×	13 0.3×	35	484
Sarah Killcoyne United States	12	319 1.8×	96 1.4×	116 2.0×	151 3.0×	21 0.4×	24	674
Wei-Hua Hao Taiwan	7	320 1.8×	80 1.2×	73 1.3×	26 0.5×	55 1.1×	19	472
Daibing Zhou China	10	151 0.9×	69 1.0×	91 1.6×	51 1.0×	102 2.0×	27	414
Natalja Kurbatova United Kingdom	7	530 3.0×	33 0.5×	79 1.4×	30 0.6×	17 0.3×	11	679
Andrew Tikhonov United Kingdom	4	519 2.9×	36 0.5×	94 1.6×	33 0.6×	17 0.3×	5	686
Tiancheng Xie China	12	180 1.0×	121 1.8×	117 2.0×	93 1.8×	68 1.4×	32	490
Tiziana Sanavia Italy	16	463 2.6×	48 0.7×	84 1.4×	53 1.0×	7 0.1×	40	699
K. Joeri van der Velde Netherlands	16	338 1.9×	26 0.4×	50 0.9×	14 0.3×	32 0.6×	30	642

Countries citing papers authored by Ayushi Verma

Since Specialization

Citations

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

Fields of papers citing papers by Ayushi Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayushi Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Ayushi Verma. A scholar is included among the top collaborators of Ayushi Verma 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 Ayushi Verma. Ayushi Verma 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

Verma, Ayushi, Tapas Badal, & Abhay Bansal. (2025). A novel framework for diverse video generation from a single video using frame-conditioned denoising diffusion probabilistic model and ConvNeXt-V2. Image and Vision Computing. 154. 105422–105422.

Verma, Ayushi & Anders M. Lindroth. (2025). The emerging intertwined activities of metabolism and epigenetics unveils culprits and prospects in cancer. Experimental & Molecular Medicine. 57(9). 1928–1939. 2 indexed citations

Verma, Ayushi, Tapas Badal, & Abhay Bansal. (2024). Advancing Image Generation with Denoising Diffusion Probabilistic Model and ConvNeXt-V2: A novel approach for enhanced diversity and quality. Computer Vision and Image Understanding. 247. 104077–104077. 2 indexed citations

Verma, Ayushi, et al.. (2023). Revolutionizing IOT based Home Automation using Arduino. International Journal for Research in Applied Science and Engineering Technology. 11(5). 4576–4582. 1 indexed citations

Saini, Krishan Kumar, Manish Pratap Singh, Ayushi Verma, et al.. (2023). Loss of PERK function promotes ferroptosis by downregulating SLC7A11 (System Xc⁻) in colorectal cancer. Redox Biology. 65. 102833–102833. 41 indexed citations

Verma, Ayushi, et al.. (2023). Ancient Indian Script Transliteration Using GANs. 621–626.

Verma, Ayushi, et al.. (2023). A proteome-level view of brain tumors for a better understanding of novel diagnosis, prognosis, and therapy. Expert Review of Proteomics. 20(12). 381–395. 2 indexed citations

Nengroo, Mushtaq Ahmad, et al.. (2022). Demystifying the CXCR4 conundrum in cancer biology: Beyond the surface signaling paradigm. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1877(5). 188790–188790. 21 indexed citations

Nengroo, Mushtaq Ahmad, Ayushi Verma, & Dipak Datta. (2022). Cytokine chemokine network in tumor microenvironment: Impact on CSC properties and therapeutic applications. Cytokine. 156. 155916–155916. 20 indexed citations

10.

Verma, Ayushi, Akhilesh Singh, Manish Pratap Singh, et al.. (2022). EZH2-H3K27me3 mediated KRT14 upregulation promotes TNBC peritoneal metastasis. Nature Communications. 13(1). 7344–7344. 74 indexed citations

11.

Verma, Ayushi, et al.. (2021). Recent advances in mass-spectrometry based proteomics software, tools and databases. Drug Discovery Today Technologies. 39. 69–79. 20 indexed citations

12.

Nengroo, Mushtaq Ahmad, Akhilesh Singh, Ayushi Verma, et al.. (2021). CXCR4 intracellular protein promotes drug resistance and tumorigenic potential by inversely regulating the expression of Death Receptor 5. Cell Death and Disease. 12(5). 464–464. 26 indexed citations

13.

Suvarna, Kruthi, Ayushi Verma, Avinash Singh, et al.. (2021). Proteomic investigation reveals dominant alterations of neutrophil degranulation and mRNA translation pathways in patients with COVID-19. iScience. 24(3). 102135–102135. 25 indexed citations

14.

Verma, Ayushi, et al.. (2021). Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples. Journal of Visualized Experiments. 4 indexed citations

15.

Mukherjee, Amrita, et al.. (2021). Proteomics advances towards developing SARS-CoV-2 therapeutics using in silico drug repurposing approaches. Drug Discovery Today Technologies. 39. 1–12. 6 indexed citations

16.

Verma, Ayushi, et al.. (2021). Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples. Journal of Visualized Experiments. 5 indexed citations

17.

Ranjan, Ravi, et al.. (2020). Analysis and Classification of Crime Tweets. Procedia Computer Science. 167. 1911–1919. 32 indexed citations

18.

Verma, Ayushi, et al.. (2019). Implementation of database using python flask framework. International Journal Of Engineering And Computer Science. 8(12). 24894–24899. 10 indexed citations

19.

Sardana, Neetu, et al.. (2019). ORFDetector: Ensemble Learning Based Online Recruitment Fraud Detection. 1–5. 24 indexed citations

20.

Verma, Ayushi, et al.. (2019). TagStack: Automated System for Predicting Tags in StackOverflow. 223–228. 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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