Imranul Alam
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- Bone health and osteoporosis research 13
- Molecular Biology top 10%
- Bone Metabolism and Diseases 22
- Oncology top 10%
- Bone health and treatments 7
- Cell Biology top 10%
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals 7
- Genetic Associations and Epidemiology 4
- Connective tissue disorders research 4
- Genetic and phenotypic traits in livestock 3
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- stochastic dynamics and bifurcation 2
- Co-authors
- Charles H. TurnerAlexander G. RoblingTeresita BellidoStephen E. HarrisKeith W. CondonJelica Gluhak‐HeinrichPaul NiziolekLee Ann Baldridge
- Journals
- Bone (10 papers)Journal of Bone and Mineral Research (8 papers)Calcified Tissue International (4 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Imranul Alam
36 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Orthopedics and Sports Medicine 691
- Molecular Biology 956
- Oncology 368
- Cell Biology 167
- Genetics 285
Countries citing papers authored by Imranul Alam
This map shows the geographic impact of Imranul Alam'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 Imranul Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imranul Alam more than expected).
Fields of papers citing papers by Imranul Alam
This network shows the impact of papers produced by Imranul Alam. 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 Imranul Alam. The network helps show where Imranul Alam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Imranul Alam, 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 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2021 | 2 | |
| 6 | Bone Mass and Strength are Significantly Improved in Mice Overexpressing Human WNT16 in Osteocytes | 2017 | 1 |
| 7 | 2016 | 12 | |
| 8 | 2015 | 11 | |
| 9 | 2014 | 8 | |
| 10 | 2013 | 35 | |
| 11 | 2011 | 12 | |
| 12 | 2009 | 11 | |
| 13 | 2009 | 3 | |
| 14 | 2009 | 9 | |
| 15 | 2007 | 9 | |
| 16 | 2006 | 40 | |
| 17 | 2006 | 22 | |
| 18 | 2005 | 74 | |
| 19 | 2005 | 9 | |
| 20 | 2005 | 22 |
About Imranul Alam
Imranul Alam is a scholar working on Orthopedics and Sports Medicine, Genetics, Molecular Biology, Oncology and Biophysics, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (22 papers), Bone health and osteoporosis research (13 papers), Bone health and treatments (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetic Associations and Epidemiology (4 papers), Connective tissue disorders research (4 papers), Genetic and phenotypic traits in livestock (3 papers) and stochastic dynamics and bifurcation (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (691 citations), Molecular Biology (956 citations), Oncology (368 citations), Cell Biology (167 citations) and Genetics (285 citations). Imranul Alam has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Charles H. Turner, Alexander G. Robling, Teresita Bellido, Stephen E. Harris, Keith W. Condon, Jelica Gluhak‐Heinrich, Paul Niziolek, Lee Ann Baldridge, Matthew R. Allen and Michael J. Econs. Their work appears in journals such as Bone, Journal of Bone and Mineral Research, Calcified Tissue International, JBMR Plus and The FASEB 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.