Ali Sharma

1.4k total citations
12 papers, 804 citations indexed

About

Ali Sharma is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Ali Sharma has authored 12 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Physiology. Recurrent topics in Ali Sharma's work include Genetics and Neurodevelopmental Disorders (5 papers), Alzheimer's disease research and treatments (4 papers) and Epigenetics and DNA Methylation (3 papers). Ali Sharma is often cited by papers focused on Genetics and Neurodevelopmental Disorders (5 papers), Alzheimer's disease research and treatments (4 papers) and Epigenetics and DNA Methylation (3 papers). Ali Sharma collaborates with scholars based in United States, India and Spain. Ali Sharma's co-authors include Yukihiro Takayasu, Sean McBride, Charles A. Hoeffer, Eric Klann, R. Suzanne Zukin, Takahiro Miyawaki, Suzana Petanceska, Steven DeRosa, Lorenzo M. Refolo and Nichole Diaz and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Molecular Pharmacology.

In The Last Decade

Ali Sharma

11 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Sharma United States 9 445 360 222 179 115 12 804
Fabienne Wavrant‐De Vrièze United States 16 375 0.8× 93 0.3× 307 1.4× 79 0.4× 304 2.6× 23 923
Takahiro Miyawaki Japan 11 763 1.7× 434 1.2× 112 0.5× 175 1.0× 282 2.5× 18 1.1k
Michele Glinn United States 11 198 0.4× 88 0.2× 253 1.1× 132 0.7× 76 0.7× 15 657
Daniel Orellana Italy 10 336 0.8× 112 0.3× 278 1.3× 81 0.5× 158 1.4× 11 772
Gonzálo Arboleda Colombia 17 417 0.9× 126 0.3× 219 1.0× 63 0.4× 146 1.3× 39 824
Ernest Palomer Spain 17 453 1.0× 94 0.3× 346 1.6× 48 0.3× 265 2.3× 22 920
Jorge L. Del‐Aguila United States 17 369 0.8× 170 0.5× 455 2.0× 45 0.3× 97 0.8× 25 1.1k
Manabu Toyoshima Japan 17 595 1.3× 210 0.6× 89 0.4× 92 0.5× 197 1.7× 37 989
Bozena Mazur‐Kolecka United States 19 325 0.7× 111 0.3× 568 2.6× 77 0.4× 115 1.0× 43 895
Valérie Enderlin France 16 636 1.4× 98 0.3× 168 0.8× 49 0.3× 279 2.4× 26 973

Countries citing papers authored by Ali Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Ali Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Sharma

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

All Works

12 of 12 papers shown
1.
Duarte, Mariana Lemos, Minghui Wang, Ivone Gomes, et al.. (2023). Multiomics Analyses Identify Proline Endopeptidase–Like Protein As a Key Regulator of Protein Trafficking, a Pathway Underlying Alzheimer’s Disease Pathogenesis. Molecular Pharmacology. 104(1). 1–16. 3 indexed citations
3.
Mariottini, Chiara, Leonardo Munari, Nikos Tzavaras, et al.. (2019). Wilm’s tumor 1 promotes memory flexibility. Nature Communications. 10(1). 3756–3756. 18 indexed citations
5.
Frolinger, Tal, et al.. (2018). Epigenetic modifications by polyphenolic compounds alter gene expression in the hippocampus. Biology Open. 7(10). 16 indexed citations
6.
Sharma, Ali, Shifra Klein, Luendreo Barboza, Niraj Lodhi, & Miklós Tóth. (2016). Principles Governing DNA Methylation during Neuronal Lineage and Subtype Specification. Journal of Neuroscience. 36(5). 1711–1722. 34 indexed citations
7.
Zupan, Bojana, et al.. (2016). Programming social behavior by the maternal fragile X protein. Genes Brain & Behavior. 15(6). 578–587. 10 indexed citations
8.
Klein, Shifra, Kimon V. Argyropoulos, Ali Sharma, et al.. (2016). Behavioural traits propagate across generations via segregated iterative-somatic and gametic epigenetic mechanisms. Nature Communications. 7(1). 11492–11492. 28 indexed citations
9.
Sharma, Ali, Charles A. Hoeffer, Yukihiro Takayasu, et al.. (2010). Dysregulation of mTOR Signaling in Fragile X Syndrome. Journal of Neuroscience. 30(2). 694–702. 438 indexed citations
10.
Sparks, David L., Robert P. Friedland, Suzana Petanceska, et al.. (2006). Trace copper levels in the drinking water, but not zinc or aluminum influence CNS Alzheimer-like pathology.. PubMed. 10(4). 247–54. 80 indexed citations
11.
Petanceska, Suzana, Steven DeRosa, Ali Sharma, et al.. (2003). Changes in Apolipoprotein E Expression in Response to Dietary and Pharmacological Modulation of Cholesterol. Journal of Molecular Neuroscience. 20(3). 395–406. 47 indexed citations
12.
Petanceska, Suzana, Steven DeRosa, Vicki Olm, et al.. (2002). Statin therapy for Alzheimer’s disease. Journal of Molecular Neuroscience. 19(1-2). 155–161. 129 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026