Ankush Sharma

1.0k total citations
34 papers, 721 citations indexed

About

Ankush Sharma is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Ankush Sharma has authored 34 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Oncology. Recurrent topics in Ankush Sharma's work include Bioinformatics and Genomic Networks (5 papers), Single-cell and spatial transcriptomics (3 papers) and Epigenetics and DNA Methylation (3 papers). Ankush Sharma is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Single-cell and spatial transcriptomics (3 papers) and Epigenetics and DNA Methylation (3 papers). Ankush Sharma collaborates with scholars based in United States, Norway and Italy. Ankush Sharma's co-authors include Goutam Rath, Amit K. Goyal, Giovanni Colonna, Susan Costantini, Raffaele Raucci, Giuseppe Castello, Chandana Lall, M. Mazen Jamal, Roozbeh Houshyar and Joon‐Il Choi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.

In The Last Decade

Ankush Sharma

33 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankush Sharma United States 13 189 145 119 114 113 34 721
Xuanming Chen China 11 164 0.9× 126 0.9× 117 1.0× 102 0.9× 86 0.8× 20 569
Yanhong Sun China 16 253 1.3× 158 1.1× 90 0.8× 83 0.7× 72 0.6× 36 729
Chenxi Yang China 16 308 1.6× 116 0.8× 50 0.4× 76 0.7× 132 1.2× 45 763
Zhijia Wang China 13 188 1.0× 123 0.8× 38 0.3× 91 0.8× 88 0.8× 30 698
Marilena Crescente United Kingdom 19 249 1.3× 214 1.5× 49 0.4× 77 0.7× 144 1.3× 40 1.2k
Maliheh Paknejad Iran 18 339 1.8× 144 1.0× 65 0.5× 38 0.3× 104 0.9× 59 830
Adrian T. Press Germany 14 201 1.1× 102 0.7× 38 0.3× 137 1.2× 88 0.8× 41 608
Xiaoke Zhang China 14 176 0.9× 175 1.2× 170 1.4× 71 0.6× 83 0.7× 30 841
Conghui Liu China 10 339 1.8× 187 1.3× 58 0.5× 110 1.0× 126 1.1× 15 788

Countries citing papers authored by Ankush Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Ankush Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankush Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Ankush Sharma. A scholar is included among the top collaborators of Ankush Sharma 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 Ankush Sharma. Ankush Sharma 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.
Samara, Athina, Hans Christian D. Aass, Ankush Sharma, et al.. (2024). Citalopram exposure of hESCs during neuronal differentiation identifies dysregulated genes involved in neurodevelopment and depression. Frontiers in Cell and Developmental Biology. 12. 1 indexed citations
2.
Sharma, Ankush, et al.. (2023). Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning–driven data analysis. GigaScience. 13. 1 indexed citations
3.
Huang, Chengqun, Ankush Sharma, Yang Song, et al.. (2022). Asporin, an extracellular matrix protein, is a beneficial regulator of cardiac remodeling. Matrix Biology. 110. 40–59. 27 indexed citations
4.
Samara, Athina, Ankush Sharma, Pål Marius Bjørnstad, et al.. (2022). A multi-omics approach to visualize early neuronal differentiation from hESCs in 4D. iScience. 25(11). 105279–105279. 6 indexed citations
5.
Sharma, Ankush, et al.. (2021). ShinyArchR.UiO: user-friendly,integrative and open-source tool for visualization of single-cell ATAC-seq data using ArchR. Bioinformatics. 38(3). 834–836. 5 indexed citations
6.
Sharma, Ankush, Miroslava Šťastná, Chengqun Huang, et al.. (2021). Proteomics of Mouse Heart Ventricles Reveals Mitochondria and Metabolism as Major Targets of a Post-Infarction Short-Acting GLP1Ra-Therapy. International Journal of Molecular Sciences. 22(16). 8711–8711. 9 indexed citations
7.
Sharma, Ankush, Devesh Tewari, Seyed Fazel Nabavi, Seyed Mohammad Nabavi, & Solomon Habtemariam. (2021). Reactive oxygen species modulators in pulmonary medicine. Current Opinion in Pharmacology. 57. 157–164. 13 indexed citations
8.
Sharma, Ankush & Giovanni Colonna. (2021). System-Wide Pollution of Biomedical Data: Consequence of the Search for Hub Genes of Hepatocellular Carcinoma Without Spatiotemporal Consideration. Molecular Diagnosis & Therapy. 25(1). 9–27. 3 indexed citations
9.
Blaker, Yngvild Nuvin, Chloé B. Steen, Ankush Sharma, et al.. (2020). Heterogeneity of Regulatory T Cells in B-Cell Non-Hodgkin Lymphoma. Blood. 136(Supplement 1). 27–28. 2 indexed citations
10.
Piplani, Honit, Jon Sin, Jean Hou, et al.. (2019). Simvastatin induces autophagic flux to restore cerulein-impaired phagosome-lysosome fusion in acute pancreatitis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(11). 165530–165530. 31 indexed citations
11.
Sharma, Ankush, Amit K. Goyal, & Goutam Rath. (2018). Development and Characterization of Gastroretentive High-Density Pellets Lodged With Zero Valent Iron Nanoparticles. Journal of Pharmaceutical Sciences. 107(10). 2663–2673. 18 indexed citations
12.
Sharma, Ankush, et al.. (2018). Insights into archaeal chaperone machinery: a network-based approach. Cell Stress and Chaperones. 23(6). 1257–1274. 2 indexed citations
13.
Chatterjee, Shiv Sekhar, et al.. (2017). Dengue fever in a south Asian metropolis: a report on 219 cases. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Sharma, Ankush, et al.. (2017). Mesohepatectomy without hilar dissection for central hepatocellular cancer in cirrhotics. HPB. 19. S163–S163. 1 indexed citations
15.
Sharma, Ankush, et al.. (2016). Cancer therapy-related complications in the bowel and mesentery: an imaging perspective. Abdominal Radiology. 41(10). 2031–2047. 12 indexed citations
16.
Sharma, Ankush, et al.. (2014). EFFICIENT DATA STORAGE IN CLOUD. IJITR International Journal of Innovative Technology and Research - IJITR International Journal of Innovative Technology and Research. 2(3). 977–980. 2 indexed citations
17.
Sharma, Ankush, et al.. (2013). Formulation and Evaluation of herbal cosmetic cream to produce multipurpose effect on skin. 4(1). 1–4. 3 indexed citations
18.
Costantini, Susan, Ankush Sharma, Raffaele Raucci, et al.. (2013). Genealogy of an ancient protein family: the Sirtuins, a family of disordered members. BMC Evolutionary Biology. 13(1). 60–60. 46 indexed citations
19.
Sharma, Ankush & M. Mazen Jamal. (2013). Opioid Induced Bowel Disease: a Twenty-first Century Physicians’ Dilemma. Current Gastroenterology Reports. 15(7). 334–334. 26 indexed citations
20.
Sharma, Ankush, et al.. (2012). Interactomic and Pharmacological Insights on Human Sirt-1. Frontiers in Pharmacology. 3. 40–40. 29 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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