Imranul Alam

2.1k total citations · 1 hit paper
37 papers, 1.6k citations indexed

About

Imranul Alam is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Genetics. According to data from OpenAlex, Imranul Alam has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Orthopedics and Sports Medicine and 12 papers in Genetics. Recurrent topics in Imranul Alam's work include Bone Metabolism and Diseases (22 papers), Bone health and osteoporosis research (13 papers) and Bone health and treatments (7 papers). Imranul Alam is often cited by papers focused on Bone Metabolism and Diseases (22 papers), Bone health and osteoporosis research (13 papers) and Bone health and treatments (7 papers). Imranul Alam collaborates with scholars based in United States, Italy and United Kingdom. Imranul Alam's 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 and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and The FASEB Journal.

In The Last Decade

Imranul Alam

36 papers receiving 1.5k citations

Hit Papers

Mechanical Stimulation of Bone in Vivo Reduces Osteocyte ... 2007 2026 2013 2019 2007 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imranul Alam United States 13 956 691 368 285 206 37 1.6k
Paul Niziolek United States 10 801 0.8× 531 0.8× 358 1.0× 200 0.7× 159 0.8× 18 1.3k
Leanne Saxon United Kingdom 19 790 0.8× 730 1.1× 267 0.7× 262 0.9× 172 0.8× 33 1.5k
Lee B. Meakin United Kingdom 20 629 0.7× 576 0.8× 188 0.5× 225 0.8× 157 0.8× 47 1.3k
S. Bourrin France 15 518 0.5× 709 1.0× 239 0.6× 191 0.7× 359 1.7× 20 1.3k
Cedo M. Bagi United States 25 601 0.6× 580 0.8× 384 1.0× 152 0.5× 151 0.7× 48 1.8k
Chris Pászty United States 19 1.6k 1.6× 864 1.3× 771 2.1× 382 1.3× 411 2.0× 25 2.5k
L. R. Donahue United States 12 825 0.9× 659 1.0× 227 0.6× 305 1.1× 200 1.0× 13 1.5k
Frédéric Morvan Switzerland 14 1.2k 1.2× 189 0.3× 306 0.8× 288 1.0× 332 1.6× 16 1.7k
Julie Lacombe United States 21 800 0.8× 230 0.3× 305 0.8× 145 0.5× 217 1.1× 39 2.1k
Akinori Sakai Japan 21 552 0.6× 364 0.5× 288 0.8× 93 0.3× 167 0.8× 45 1.1k

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-authorship network of co-authors of Imranul Alam

This figure shows the co-authorship network connecting the top 25 collaborators of Imranul Alam. A scholar is included among the top collaborators of Imranul Alam 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 Imranul Alam. Imranul Alam 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.
Hong, Jung Min, et al.. (2024). The PDE4 Inhibitors Roflumilast and Rolipram Rescue ADO2 Osteoclast Resorption Dysfunction. Calcified Tissue International. 114(4). 430–443. 3 indexed citations
2.
Alam, Imranul, et al.. (2024). Effect of Roflumilast, a Selective PDE4 Inhibitor, on Bone Phenotypes in ADO2 Mice. Calcified Tissue International. 114(4). 419–429. 1 indexed citations
3.
Alam, Imranul, Ashkan Dehsorkhi, Paulina Rachwalska, et al.. (2024). Effect of Allele-Specific Clcn7G213R siRNA Delivered Via a Novel Nanocarrier on Bone Phenotypes in ADO2 Mice on 129S Background. Calcified Tissue International. 115(1). 85–96. 1 indexed citations
4.
Warden, Stuart J., Paul Niziolek, Imranul Alam, et al.. (2024). Autosomal Dominant Osteopetrosis (ADO) Caused by a Missense Variant in the TCIRG1 Gene. The Journal of Clinical Endocrinology & Metabolism. 109(7). 1726–1732. 1 indexed citations
5.
Alam, Imranul, et al.. (2021). Chloroquine increases osteoclast activity in vitro but does not improve the osteopetrotic bone phenotype of ADO2 mice. Bone. 153. 116160–116160. 2 indexed citations
6.
Alam, Imranul, Austin M. Reilly, Rita Gerard-O’Riley, et al.. (2017). Bone Mass and Strength are Significantly Improved in Mice Overexpressing Human WNT16 in Osteocytes. PMC. 1 indexed citations
8.
Alam, Imranul, Daniel L. Koller, Toñi Cañete, et al.. (2015). Fine mapping of bone structure and strength QTLs in heterogeneous stock rat. Bone. 81. 417–426. 11 indexed citations
9.
Alam, Imranul, Leah R. Padgett, Shoji Ichikawa, et al.. (2014). SIBLING family genes and bone mineral density: Association and allele-specific expression in humans. Bone. 64. 166–172. 8 indexed citations
10.
Alam, Imranul, Amie K. Gray, Shoji Ichikawa, et al.. (2013). Generation of the first autosomal dominant osteopetrosis type II (ADO2) disease models. Bone. 59. 66–75. 35 indexed citations
11.
Joshi, Kamaldeep, Imranul Alam, Irmina Gradus‐Pizlo, et al.. (2011). Effect of improvement in left ventricular ejection fraction on long-term survival in revascularized patients with ischaemic left ventricular systolic dysfunction. European Journal of Echocardiography. 12(6). 454–460. 12 indexed citations
12.
Alam, Imranul, Qiwei Sun, Daniel L. Koller, et al.. (2009). Differentially expressed genes strongly correlated with femur strength in rats. Genomics. 94(4). 257–262. 11 indexed citations
13.
Koller, Daniel L., Lixiang Liu, Imranul Alam, et al.. (2009). Epistasis between QTLs for bone density variation in Copenhagen × dark agouti F2 rats. Mammalian Genome. 20(3). 180–186. 3 indexed citations
14.
Alam, Imranul, Qiwei Sun, Daniel L. Koller, et al.. (2009). Genes influencing spinal bone mineral density in inbred F344, LEW, COP, and DA rats. Functional & Integrative Genomics. 10(1). 63–72. 9 indexed citations
15.
Sun, Qiwei, Imranul Alam, Lixiang Liu, et al.. (2007). Genetic loci affecting bone structure and strength in inbred COP and DA rats. Bone. 42(3). 547–553. 9 indexed citations
16.
Castillo, Alesha B., Imranul Alam, Shigeo Tanaka, et al.. (2006). Low-amplitude, broad-frequency vibration effects on cortical bone formation in mice. Bone. 39(5). 1087–1096. 40 indexed citations
17.
Alam, Imranul, Daphne Koller, Tonya Fishburn, et al.. (2006). Identification of a quantitative trait locus on rat chromosome 4 that is strongly linked to femoral neck structure and strength. Bone. 39(1). 93–99. 22 indexed citations
18.
Saxon, Leanne, Alexander G. Robling, Imranul Alam, & Charles H. Turner. (2005). Mechanosensitivity of the rat skeleton decreases after a long period of loading, but is improved with time off. Bone. 36(3). 454–464. 74 indexed citations
19.
Alam, Imranul, et al.. (2005). Bone Mass and Strength: Phenotypic and Genetic Relationship to Alcohol Preference in P/NP and HAD/LAD Rats. Alcoholism Clinical and Experimental Research. 29(10). 1769–1776. 9 indexed citations
20.
Koller, Daniel L., Imranul Alam, Qiwei Sun, et al.. (2005). Genome screen for bone mineral density phenotypes in Fisher 344 and Lewis rat strains. Mammalian Genome. 16(8). 578–586. 22 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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