Saba Ubaid

526 total citations · 1 hit paper
9 papers, 410 citations indexed

About

Saba Ubaid is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Saba Ubaid has authored 9 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Cancer Research. Recurrent topics in Saba Ubaid's work include Biochemical effects in animals (3 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Epigenetics and DNA Methylation (2 papers). Saba Ubaid is often cited by papers focused on Biochemical effects in animals (3 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Epigenetics and DNA Methylation (2 papers). Saba Ubaid collaborates with scholars based in India and United States. Saba Ubaid's co-authors include Vivek Singh, Mohammad Rumman, Shivani Pandey, Abbas Ali Mahdi, Babita Singh, Mohammad Kashif, Babita Singh, Vivek Singh, Roma Pahwa and Vipin Kumar and has published in prestigious journals such as Journal of Experimental & Clinical Cancer Research, Expert Opinion on Therapeutic Targets and ACS Chemical Neuroscience.

In The Last Decade

Saba Ubaid

8 papers receiving 407 citations

Hit Papers

Role of Silent Information Regulator 1 (SIRT1) in Regulat... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Role of Silent Information Regulator 1 (SIRT1) in Regulating Oxidative Stress and Inflammation
    2020 335 citations Vivek Singh, Saba Ubaid Inflammation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saba Ubaid India 6 162 117 94 75 40 9 410
Jiung‐Pang Huang Taiwan 11 156 1.0× 97 0.8× 125 1.3× 86 1.1× 33 0.8× 17 422
Guorong Dan China 13 304 1.9× 58 0.5× 78 0.8× 85 1.1× 31 0.8× 24 535
Yanyan Liu China 12 220 1.4× 48 0.4× 83 0.9× 61 0.8× 38 0.9× 26 461
Farhad Ghadiri Soufi Iran 14 233 1.4× 117 1.0× 160 1.7× 65 0.9× 45 1.1× 27 631
Jun-Qi Zhao China 5 218 1.3× 218 1.9× 110 1.2× 112 1.5× 15 0.4× 12 551
Kyoung Hye Kong South Korea 9 108 0.7× 62 0.5× 54 0.6× 43 0.6× 30 0.8× 11 384
Yanghao Hou China 7 383 2.4× 81 0.7× 78 0.8× 124 1.7× 159 4.0× 9 607

Countries citing papers authored by Saba Ubaid

Since Specialization
Citations

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

Fields of papers citing papers by Saba Ubaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saba Ubaid

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

All Works

9 of 9 papers shown
1.
Singh, Vivek, et al.. (2025). Role of inflammasomes in cancer immunity: mechanisms and therapeutic potential. Journal of Experimental & Clinical Cancer Research. 44(1). 109–109. 5 indexed citations
2.
Ubaid, Saba, et al.. (2025). Comprehensive analysis of oncogenic determinants across tumor types via multi-omics integration. Cancer Genetics. 298-299. 44–62. 1 indexed citations
3.
Ubaid, Saba, et al.. (2024). Targeting HIF-1α in sickle cell disease and cancer: unraveling therapeutic opportunities and risks. Expert Opinion on Therapeutic Targets. 28(5). 357–373. 6 indexed citations
4.
Ahmad, Mohammad Kaleem, et al.. (2024). Assessment of Circulating Cell Free DNA Methylation Biomarker of Panel of Selected Genes for Lung Cancer Detection. Indian Journal of Clinical Biochemistry.
5.
Ubaid, Saba, et al.. (2022). SIRT1 Mediates Neuroprotective and Neurorescue Effects of Camel α-Lactalbumin and Oleic Acid Complex on Rotenone-Induced Parkinson’s Disease. ACS Chemical Neuroscience. 13(8). 1263–1272. 13 indexed citations
6.
Rumman, Mohammad, et al.. (2021). Genistein Prevents Hypoxia-Induced Cognitive Dysfunctions by Ameliorating Oxidative Stress and Inflammation in the Hippocampus. Neurotoxicity Research. 39(4). 1123–1133. 33 indexed citations
7.
Ubaid, Saba, Mohammad Rumman, Babita Singh, & Shivani Pandey. (2021). Correction to: Role of Silent Information Regulator 1 (SIRT1) in Regulating Oxidative Stress and Inflammation. Inflammation. 44(5). 2142–2142. 9 indexed citations
8.
Singh, Vivek & Saba Ubaid. (2020). Role of Silent Information Regulator 1 (SIRT1) in Regulating Oxidative Stress and Inflammation. Inflammation. 43(5). 1589–1598. 335 indexed citations breakdown →
9.

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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