Imranul Alam

36 papers receiving 1.7k citations

Imranul Alam's Hit Papers

Mechanical Stimulation of Bone in Vivo Reduces Osteocyte Expression of Sost/Sclerostin 2007 · 1.1k citations
1.1k0+6+12Years since publication2505007501000

Peers

Imranul Alam
Comparison fields: 5 of 105
  • Orthopedics and Sports Medicine 699
  • Oncology 366
  • Molecular Biology 963
  • Cell Biology 181
  • Genetics 272
Replace Paul Niziolek with:
Paul Niziolek United States
Leanne Saxon United Kingdom
Chris Pászty United States
Frank Asuncion United States
J.E. Onyia United States
Tujun Weng China
Julie Lacombe United States
Behzâd Javaheri United Kingdom
Frédéric Morvan Switzerland
Lee B. Meakin United Kingdom
Imranul Alam relative to Paul Niziolek United States Paul Niziolek's profile →
Citations per field
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Citations per year

Countries citing papers authored by Imranul Alam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Imranul Alam Line = papers co-authored together Imranul Alam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mechanical Stimulation of Bone in Vivo Reduces Osteocyte Expression of Sost/Sclerostin
Hit paper breakdown →
20071108
2 200584
3 200269
4 200644
5 200541
6 201539
7 201337
8 200528
9 201523
10 200623
11 200522
12 201618
13 201113
14 201813
15 200712
16 201612
17 200911
18 201511
19 200810
20 201410

About Imranul Alam

Imranul Alam is a scholar working on Molecular Biology, Orthopedics and Sports Medicine, Genetics, Oncology and Statistical and Nonlinear Physics, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (18 papers), Bone health and osteoporosis research (12 papers), Bone health and treatments (6 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic and phenotypic traits in livestock (3 papers), Connective tissue disorders research (3 papers), Genetic Associations and Epidemiology (3 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (699 citations), Oncology (366 citations), Molecular Biology (963 citations), Cell Biology (181 citations) and Genetics (272 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, Paul Niziolek, Lee Ann Baldridge, Matthew R. Allen, Jelica Gluhak‐Heinrich, Stephen E. Harris, Keith W. Condon and Michael J. Econs. Their work appears in journals such as Bone, Journal of Bone and Mineral Research, Calcified Tissue International, Mammalian Genome 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.

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