Mujib Ullah

2.8k total citations · 1 hit paper
63 papers, 2.0k citations indexed

About

Mujib Ullah is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Mujib Ullah has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 13 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Mujib Ullah's work include Extracellular vesicles in disease (16 papers), MicroRNA in disease regulation (9 papers) and Mesenchymal stem cell research (9 papers). Mujib Ullah is often cited by papers focused on Extracellular vesicles in disease (16 papers), MicroRNA in disease regulation (9 papers) and Mesenchymal stem cell research (9 papers). Mujib Ullah collaborates with scholars based in United States, Germany and China. Mujib Ullah's co-authors include Avnesh S. Thakor, Daniel Dan Liu, Zhongjie Sun, Asma Akbar, Waldo Concepción, Michael Sittinger, Jochen Ringe, Kai Chen, Thomas J. Bartosh and Suzanne Zeitouni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Mujib Ullah

62 papers receiving 2.0k citations

Hit Papers

Mesenchymal Stromal Cell Homing: Mechanisms and Strategie... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mujib Ullah United States 24 1.1k 459 444 308 272 63 2.0k
Peipei Wu China 24 1.4k 1.3× 654 1.4× 310 0.7× 243 0.8× 170 0.6× 62 2.0k
Wenjia Liu China 23 806 0.7× 295 0.6× 327 0.7× 288 0.9× 142 0.5× 73 1.8k
Weihua Yu China 28 998 0.9× 385 0.8× 373 0.8× 314 1.0× 243 0.9× 68 2.1k
Dinender K. Singla United States 30 1.5k 1.4× 305 0.7× 254 0.6× 648 2.1× 132 0.5× 76 2.5k
Giovanni Ligresti United States 31 1.2k 1.1× 295 0.6× 157 0.4× 246 0.8× 129 0.5× 59 2.4k
David J. Rickard United States 26 1.3k 1.2× 219 0.5× 418 0.9× 367 1.2× 326 1.2× 34 3.0k
Yu‐Ting Huang Taiwan 26 728 0.7× 230 0.5× 143 0.3× 466 1.5× 179 0.7× 75 2.5k
Saara Laitinen Finland 28 1.7k 1.5× 578 1.3× 645 1.5× 583 1.9× 191 0.7× 69 2.9k
Akira Ishisaki Japan 25 1.4k 1.2× 291 0.6× 269 0.6× 215 0.7× 89 0.3× 113 2.3k
Jianquan Hou China 24 829 0.8× 308 0.7× 504 1.1× 360 1.2× 301 1.1× 93 2.3k

Countries citing papers authored by Mujib Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Mujib Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mujib Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Mujib Ullah. A scholar is included among the top collaborators of Mujib Ullah 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 Mujib Ullah. Mujib Ullah 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.
Ikram, Muhammad, Maria Batool, Mujib Ullah, et al.. (2025). Secondary metabolites as biostimulants in salt stressed plants: mechanisms of oxidative defense and signal transduction. Plant Stress. 16. 100891–100891. 5 indexed citations
2.
Ullah, Mujib, Maria Batool, Ali Mahmoud El-Badri, et al.. (2025). A comprehensive report on glucosinolate involvement in abiotic stress responses in Brassicaceae family. Horticultural Plant Journal. 2 indexed citations
3.
Ullah, Mujib, et al.. (2024). From seaweed to healing: the potential of fucoidan in wound therapy. Natural Product Research. 39(5). 1345–1358. 7 indexed citations
4.
Ullah, Mujib, et al.. (2024). Single‐molecule methods, activation‐induced cytidine deaminase, and quantum mechanical approach to explore and prevent carcinogenesis. SHILAP Revista de lepidopterología. 5(5). 2 indexed citations
5.
Tolomeo, Anna Maria, Diego Santa‐Cruz, Mujib Ullah, et al.. (2023). Influence of the isolation method on characteristics and functional activity of mesenchymal stromal cell-derived extracellular vesicles. Cytotherapy. 26(2). 157–170. 15 indexed citations
6.
Ullah, Mujib, et al.. (2023). Role of CD9 Sensing, AI, and Exosomes in Cellular Communication of Cancer. PubMed. 10(1). 11 indexed citations
7.
Baghban, Neda, et al.. (2023). CD9 role in proliferation, rejuvenation, and therapeutic applications. Genes & Diseases. 11(3). 101008–101008.
8.
Ullah, Mujib, et al.. (2021). Accuracy of Emergency Room Triage Using Emergency Severity Index (ESI): Independent Predictor of Under and Over Triage. Cureus. 13(12). e20229–e20229. 10 indexed citations
9.
Maqbool, Muhammad, et al.. (2021). SAR-CoV-2 infection, emerging new variants and the role of activation induced cytidine deaminase (AID) in lasting immunity. Saudi Pharmaceutical Journal. 29(10). 1181–1184. 8 indexed citations
10.
Abdullah, Abdullah, et al.. (2021). Exploring the utility of extracellular vesicles in ameliorating viral infection-associated inflammation, cytokine storm and tissue damage. Translational Oncology. 14(7). 101095–101095. 23 indexed citations
11.
Akbar, Asma, et al.. (2021). Artificial intelligence and guidance of medicine in the bubble. Cell & Bioscience. 11(1). 108–108. 18 indexed citations
12.
Chen, Kai, Shirley Wang, Qiwei Sun, et al.. (2020). Klotho Deficiency Causes Heart Aging via Impairing the Nrf2-GR Pathway. Circulation Research. 128(4). 492–507. 136 indexed citations
14.
Ullah, Mujib & Asma Akbar. (2020). Clinical Relevance of RNA Editing to Early Detection of Cancer in Human. PubMed. 7(1). 12 indexed citations
15.
Khaliq, Nisar Ul, et al.. (2020). COVID-19 pandemic: Mechanistic approaches and gender vulnerabilities. Saudi Pharmaceutical Journal. 28(12). 1874–1876. 5 indexed citations
16.
Ullah, Mujib & Zhongjie Sun. (2018). Stem cells and anti-aging genes: double-edged sword—do the same job of life extension. Stem Cell Research & Therapy. 9(1). 3–3. 23 indexed citations
17.
Feng, Rui, Mujib Ullah, Kai Chen, et al.. (2017). Abstract 17570: Inducible Pluripotent Stem Cell-Derived Extracellular Vesicles Mitigates Aging-Associated Arterial Stiffness and Hypertension. Circulation. 1 indexed citations
18.
Ruschke, Karen, Carola Meier, Mujib Ullah, et al.. (2016). Bone morphogenetic protein 2/SMAD signalling in human ligamentocytes of degenerated and aged anterior cruciate ligaments. Osteoarthritis and Cartilage. 24(10). 1816–1825. 17 indexed citations
19.
Ullah, Mujib, Stefan Stich, Thomas Häupl, et al.. (2013). Reverse Differentiation as a Gene Filtering Tool in Genome Expression Profiling of Adipogenesis for Fat Marker Gene Selection and Their Analysis. PLoS ONE. 8(7). e69754–e69754. 22 indexed citations
20.
Shafique, Muhammad, et al.. (2009). Investigating the concurrent presence of HCV in serum, oral fluid and urine samples from chronic HCV patients in Faisalabad, Pakistan. Archives of Virology. 154(9). 1523–1527. 14 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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