Muna Elmi
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Aging top 5%
Papers in
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Co-authors
- Keiko Funa (4 shared papers)Anke Brederlau (2 shared papers)Vijay Pawar (8 shared papers)Peter S. Eriksson (1 shared paper)Asuka Morizane (1 shared paper)Ulf Nannmark (1 shared paper)Yoshiki Sasai (1 shared paper)Gesine Paul (1 shared paper)
- Journals
- Molecular and Cellular Neuroscience (3 papers)Biomedical Optics Express (2 papers)PLoS ONE (2 papers)Scientific Reports (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- United KingdomUnited StatesNigeria
In The Last Decade
Muna Elmi
16 papers receiving 653 citations
Peers
Comparison fields: 5 of 82
- Developmental Neuroscience 178
- Aging 39
- Cellular and Molecular Neuroscience 201
- Structural Biology 14
- Genetics 66
Countries citing papers authored by Muna Elmi
This map shows the geographic impact of Muna Elmi'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 Muna Elmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muna Elmi more than expected).
Fields of papers citing papers by Muna Elmi
This network shows the impact of papers produced by Muna Elmi. 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 Muna Elmi. The network helps show where Muna Elmi may publish in the future.
Co-authors
The 25 scholars most cited alongside Muna Elmi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 344 | |
| 2 | 2007 | 49 | |
| 3 | 2010 | 46 | |
| 4 | 2020 | 39 | |
| 5 | 2023 | 30 | |
| 6 | 2003 | 30 | |
| 7 | 2019 | 29 | |
| 8 | 2016 | 25 | |
| 9 | 2018 | 17 | |
| 10 | 2007 | 14 | |
| 11 | 2017 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2018 | 8 | |
| 14 | Content aware multi-focus image fusion for high-magnification blood film microscopy | 2022 | 7 |
| 15 | 2016 | 5 | |
| 16 | 2024 | 1 |
About Muna Elmi
Muna Elmi is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology, having authored 16 papers that have together received 662 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Circadian rhythm and melatonin (4 papers), Spaceflight effects on biology (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Digital Imaging for Blood Diseases (2 papers), Digital Holography and Microscopy (2 papers), Image Processing Techniques and Applications (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Developmental Neuroscience (178 citations), Aging (39 citations), Cellular and Molecular Neuroscience (201 citations), Structural Biology (14 citations) and Genetics (66 citations). Muna Elmi has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include Keiko Funa, Anke Brederlau, Vijay Pawar, Peter S. Eriksson, Asuka Morizane, Ulf Nannmark, Yoshiki Sasai, Gesine Paul, Sergey V. Anisimov and P. Brundin. Their work appears in journals such as Molecular and Cellular Neuroscience, Biomedical Optics Express, PLoS ONE, Scientific Reports and Frontiers in Bioengineering and Biotechnology.
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.