Mujib Ullah
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 15
- RNA Interference and Gene Delivery 7
- Pluripotent Stem Cells Research 4
-
- MicroRNA in disease regulation 8
- Co-authors
- Avnesh S. Thakor (11 shared papers)Daniel Dan Liu (6 shared papers)Zhongjie Sun (8 shared papers)Asma Akbar (6 shared papers)Waldo Concepción (7 shared papers)Jochen Ringe (8 shared papers)Michael Sittinger (8 shared papers)Kai Chen (3 shared papers)
- Journals
- Stem Cell Research & Therapy (4 papers)Cells (3 papers)The FASEB Journal (3 papers)Oncotarget (2 papers)Saudi Pharmaceutical Journal (2 papers)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Mujib Ullah
55 papers receiving 2.0k citations
Mujib Ullah's Hit Papers
Peers
Comparison fields: 5 of 113
- Genetics 414
- Cancer Research 421
- Nephrology 126
- Molecular Biology 1.0k
- Aging 24
Countries citing papers authored by Mujib Ullah
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
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-authors
The 25 scholars most cited alongside Mujib Ullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mesenchymal Stromal Cell Homing: Mechanisms and Strategies for Improvement Hit paper breakdown → | 2019 | 426 |
| 2 | 2020 | 143 | |
| 3 | 2016 | 141 | |
| 4 | 2022 | 109 | |
| 5 | 2020 | 82 | |
| 6 | 2018 | 65 | |
| 7 | 2020 | 57 | |
| 8 | 2022 | 56 | |
| 9 | 2021 | 52 | |
| 10 | 2021 | 52 | |
| 11 | Recent advances of SIRT1 and implications in chemotherapeutics resistance in cancer. | 2021 | 51 |
| 12 | 2022 | 48 | |
| 13 | 2019 | 46 | |
| 14 | 2014 | 44 | |
| 15 | 2013 | 44 | |
| 16 | 2019 | 43 | |
| 17 | 2013 | 40 | |
| 18 | 2019 | 33 | |
| 19 | 2020 | 31 | |
| 20 | 2020 | 30 |
About Mujib Ullah
Mujib Ullah is a scholar working on Molecular Biology, Cancer Research, Genetics, Biomedical Engineering and Oncology, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (15 papers), Mesenchymal stem cell research (8 papers), MicroRNA in disease regulation (8 papers), RNA Interference and Gene Delivery (7 papers), Ultrasound and Hyperthermia Applications (5 papers), Cancer Cells and Metastasis (4 papers), COVID-19 Clinical Research Studies (4 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Genetics (414 citations), Cancer Research (421 citations), Nephrology (126 citations), Molecular Biology (1.0k citations) and Aging (24 citations). Mujib Ullah has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Avnesh S. Thakor, Daniel Dan Liu, Zhongjie Sun, Asma Akbar, Waldo Concepción, Jochen Ringe, Michael Sittinger, Kai Chen, Thomas J. Bartosh and Darwin J. Prockop. Their work appears in journals such as Stem Cell Research & Therapy, Cells, The FASEB Journal, Oncotarget and Saudi Pharmaceutical Journal.
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.