Niaz Mahmood

1.8k total citations · 2 hit papers
38 papers, 1.2k citations indexed

About

Niaz Mahmood is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Niaz Mahmood has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Plant Science. Recurrent topics in Niaz Mahmood's work include Epigenetics and DNA Methylation (9 papers), RNA modifications and cancer (9 papers) and Cancer-related gene regulation (5 papers). Niaz Mahmood is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), RNA modifications and cancer (9 papers) and Cancer-related gene regulation (5 papers). Niaz Mahmood collaborates with scholars based in Canada, United States and Bangladesh. Niaz Mahmood's co-authors include Shafaat A. Rabbani, Nahid Tamanna, Catalin Mihalcioiu, Ani Arakelian, Moshe Szyf, David Cheishvili, Imrana Tanvir, Haseeb Ahmed Khan, Richard Kremer and Jiuyong Xie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences and Journal of Neurochemistry.

In The Last Decade

Niaz Mahmood

35 papers receiving 1.1k citations

Hit Papers

Multifaceted Role of the ... 2015 2026 2018 2022 2018 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niaz Mahmood Canada 15 557 252 158 153 109 38 1.2k
Libo Liu China 20 533 1.0× 193 0.8× 178 1.1× 101 0.7× 91 0.8× 77 1.1k
Zhen Yu China 18 537 1.0× 142 0.6× 119 0.8× 114 0.7× 80 0.7× 54 1.2k
João Azevedo‐Silva Portugal 16 682 1.2× 377 1.5× 75 0.5× 154 1.0× 57 0.5× 37 1.1k
Tomoko Higuchi Japan 19 354 0.6× 144 0.6× 196 1.2× 277 1.8× 68 0.6× 48 1.0k
Dong Xiang China 15 482 0.9× 209 0.8× 275 1.7× 200 1.3× 59 0.5× 29 1.1k
Fengxia Liu China 23 886 1.6× 493 2.0× 107 0.7× 74 0.5× 171 1.6× 99 1.6k
Weisen Zeng China 14 525 0.9× 170 0.7× 70 0.4× 139 0.9× 54 0.5× 39 981
Tongcun Zhang China 24 1.2k 2.1× 228 0.9× 172 1.1× 133 0.9× 168 1.5× 87 1.7k
Liqing He United States 17 844 1.5× 229 0.9× 65 0.4× 154 1.0× 50 0.5× 46 1.4k
Zitong Zhao China 19 482 0.9× 214 0.8× 72 0.5× 137 0.9× 103 0.9× 56 1.1k

Countries citing papers authored by Niaz Mahmood

Since Specialization
Citations

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

Fields of papers citing papers by Niaz Mahmood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niaz Mahmood

This figure shows the co-authorship network connecting the top 25 collaborators of Niaz Mahmood. A scholar is included among the top collaborators of Niaz Mahmood 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 Niaz Mahmood. Niaz Mahmood 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.
Choi, Jung‐Hyun, Niaz Mahmood, Shaghayegh Farhangmehr, et al.. (2025). No evidence that human GIGYF2 interacts with GRB10: implications for human disease. Life Science Alliance. 8(9). e202503334–e202503334.
2.
Amiri, Mehdi, Niaz Mahmood, Soroush Tahmasebi, & Nahum Sonenberg. (2025). eIF4F-mediated dysregulation of mRNA translation in cancer. RNA. 31(3). 416–428. 3 indexed citations
3.
Mahmood, Niaz, et al.. (2025). Hippocampal Inhibitory Interneuron‐Specific DREADDs Treatment Alters mTORC14EBP Signaling and Impairs Memory Formation. Journal of Neurochemistry. 169(3). e70048–e70048. 1 indexed citations
4.
Mahmood, Niaz, et al.. (2025). Cell Type‐Specific mTORC1 Signaling and Translational Control in Synaptic Plasticity and Memory. Journal of Neurochemistry. 169(11). e70281–e70281.
6.
Wiebe, Shane, Jung‐Hyun Choi, Niaz Mahmood, et al.. (2024). Dysregulating mTORC1-4E-BP2 signaling in GABAergic interneurons impairs hippocampus-dependent learning and memory. Learning & Memory. 31(10-11). a054018–a054018. 2 indexed citations
7.
Choi, Jung‐Hyun, Jun Luo, Niaz Mahmood, et al.. (2024). The 4EHP-mediated translational repression of cGAS impedes the host immune response against DNA viruses. Proceedings of the National Academy of Sciences. 121(48). e2413018121–e2413018121. 1 indexed citations
8.
Mahmood, Niaz, Jung‐Hyun Choi, Sean W. Dooling, et al.. (2024). The ISR downstream target ATF4 represses long-term memory in a cell type–specific manner. Proceedings of the National Academy of Sciences. 121(31). e2407472121–e2407472121. 5 indexed citations
9.
Bermudez, Sara, Jung‐Hyun Choi, Sung‐Hoon Kim, et al.. (2024). The mTOR‐4E‐BP1 axis controls microglia inflammatory and neurodegenerative responses. Alzheimer s & Dementia. 20(S1). e087688–e087688.
10.
Sharma, Vijendra, Maurício M. Oliveira, Rapita Sood, et al.. (2023). mRNA translation in astrocytes controls hippocampal long-term synaptic plasticity and memory. Proceedings of the National Academy of Sciences. 120(49). e2308671120–e2308671120. 10 indexed citations
11.
Mahmood, Niaz, Ani Arakelian, Haseeb Ahmed Khan, et al.. (2020). uPAR antibody (huATN-658) and Zometa reduce breast cancer growth and skeletal lesions. Bone Research. 8(1). 18–18. 25 indexed citations
12.
Mahmood, Niaz & Shafaat A. Rabbani. (2019). DNA Methylation Readers and Cancer: Mechanistic and Therapeutic Applications. Frontiers in Oncology. 9. 489–489. 87 indexed citations
13.
Cheishvili, David, Niaz Mahmood, Ani Arakelian, et al.. (2018). DNA methylation signatures of breast cancer in peripheral T-cells. BMC Cancer. 18(1). 574–574. 35 indexed citations
14.
Mahmood, Niaz, Lei Lei, Yunchao Kan, et al.. (2015). Increased stability of heterogeneous ribonucleoproteins by a deacetylase inhibitor. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(8). 1095–1103. 11 indexed citations
15.
Mahmood, Niaz & Jiuyong Xie. (2014). An endogenous ‘non-specific’ protein detected by a His-tag antibody is human transcription regulator YY1. Data in Brief. 2. 52–55. 7 indexed citations
16.
Sharmin, Sazia, Muhammad S. Azam, Md. Shahidul Islam, et al.. (2012). Xyloglucan endotransglycosylase/hydrolase genes from a susceptible and resistant jute species show opposite expression pattern followingMacrophomina phaseolinainfection. Communicative & Integrative Biology. 5(6). 598–606. 21 indexed citations
17.
Mahmood, Niaz, et al.. (2012). In silico analysis reveals the presence of a large number of Ankyrin repeat containing proteins in Ectocarpus siliculosus. Interdisciplinary Sciences Computational Life Sciences. 4(4). 291–295. 5 indexed citations
18.
Mahmood, Niaz, et al.. (2012). Members of Ectocarpus siliculosus F-box Family Are Subjected to Differential Selective Forces. 4(1). 1.1–1.7. 3 indexed citations
19.
Mahmood, Niaz, Muhammad S. Azam, Md. Shahidul Islam, et al.. (2010). Differentially expressed transcripts of wild and cultivated jute (Corchorusspp.) varieties upon fungal (Macrophomina phaseolina) infection. Annals of biological research. 1(3). 1–8. 4 indexed citations
20.
Khan, James S., et al.. (2001). Level of awareness about breast cancer among females presenting to a general hospital in Pakistan. 11(3). 131–135. 7 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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