Madhu Dhar

2.4k total citations
90 papers, 1.8k citations indexed

About

Madhu Dhar is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, Madhu Dhar has authored 90 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 26 papers in Surgery and 25 papers in Biomedical Engineering. Recurrent topics in Madhu Dhar's work include Mesenchymal stem cell research (16 papers), Bone Tissue Engineering Materials (15 papers) and Tissue Engineering and Regenerative Medicine (14 papers). Madhu Dhar is often cited by papers focused on Mesenchymal stem cell research (16 papers), Bone Tissue Engineering Materials (15 papers) and Tissue Engineering and Regenerative Medicine (14 papers). Madhu Dhar collaborates with scholars based in United States, Egypt and India. Madhu Dhar's co-authors include David E. Anderson, Dabney K. Johnson, Howard K. Plummer, J G Joshi, Hildegard M. Schuller, Hoda Elkhenany, Alexandru S. Biris, Lisa Amelse, Nancy R. Neilsen and Shawn E. Bourdo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Madhu Dhar

89 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhu Dhar United States 24 607 484 315 260 221 90 1.8k
Úrsula Hopfner Germany 26 562 0.9× 448 0.9× 410 1.3× 237 0.9× 362 1.6× 50 2.0k
Shiaw-Min Hwang Taiwan 25 910 1.5× 361 0.7× 435 1.4× 499 1.9× 276 1.2× 38 1.9k
Virginie Sottile United Kingdom 29 1.4k 2.3× 784 1.6× 484 1.5× 511 2.0× 286 1.3× 79 2.8k
Jingting Li China 27 567 0.9× 308 0.6× 414 1.3× 368 1.4× 219 1.0× 121 2.1k
Elisa Mazzoni Italy 26 483 0.8× 555 1.1× 244 0.8× 209 0.8× 202 0.9× 87 2.2k
Wojciech Zakrzewski Poland 9 568 0.9× 344 0.7× 260 0.8× 332 1.3× 124 0.6× 20 1.4k
Chi Ma China 22 475 0.8× 682 1.4× 261 0.8× 152 0.6× 483 2.2× 80 2.1k
Xiaowei Li China 28 744 1.2× 518 1.1× 434 1.4× 137 0.5× 514 2.3× 114 2.4k
Gary Hin‐Fai Yam Singapore 33 954 1.6× 280 0.6× 227 0.7× 161 0.6× 180 0.8× 87 3.1k
Yongzhe Che China 25 933 1.5× 316 0.7× 473 1.5× 255 1.0× 442 2.0× 52 2.2k

Countries citing papers authored by Madhu Dhar

Since Specialization
Citations

This map shows the geographic impact of Madhu Dhar'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 Madhu Dhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhu Dhar more than expected).

Fields of papers citing papers by Madhu Dhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madhu Dhar. 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 Madhu Dhar. The network helps show where Madhu Dhar may publish in the future.

Co-authorship network of co-authors of Madhu Dhar

This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Dhar. A scholar is included among the top collaborators of Madhu Dhar 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 Madhu Dhar. Madhu Dhar 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.
Stephenson, Stacy M., et al.. (2025). 3D-Printed Poly (Lactic-Co-Glycolic Acid) and Graphene Oxide Nerve Guidance Conduit with Mesenchymal Stem Cells for Effective Axon Regeneration in a Rat Sciatic Nerve Defect Model. International Journal of Nanomedicine. Volume 20. 3201–3217. 1 indexed citations
3.
D’Souza, Doris H., et al.. (2024). Characterization of the dynamic viscosity of cell cultures and its effect on mixing performance in a spinner flask bioreactor. Biochemical Engineering Journal. 212. 109523–109523. 3 indexed citations
4.
Dhar, Madhu, et al.. (2024). Equine bone marrow MSC ‐derived extracellular vesicles mitigate the inflammatory effects of interleukin‐1β on navicular tissues in vitro. Equine Veterinary Journal. 57(1). 232–242. 1 indexed citations
5.
Steiner, Richard C., et al.. (2023). Interactions of Cells and Biomaterials for Nerve Tissue Engineering: Polymers and Fabrication. Polymers. 15(18). 3685–3685. 12 indexed citations
6.
Amelse, Lisa, et al.. (2022). Mesenchymal Stem Cell Use in Acute Tendon Injury: In Vitro Tenogenic Potential vs. In Vivo Dose Response. Bioengineering. 9(8). 407–407. 5 indexed citations
7.
Masi, Thomas, William J. King, Stacy M. Stephenson, et al.. (2020). <p>Functionalized Graphene Nanoparticles Induce Human Mesenchymal Stem Cells to Express Distinct Extracellular Matrix Proteins Mediating Osteogenesis</p>. International Journal of Nanomedicine. Volume 15. 2501–2513. 40 indexed citations
8.
Mulon, Pierre‐Yves, et al.. (2019). Use of a pressure-sensing walkway system for biometric assessment of gait characteristics in goats. PLoS ONE. 14(10). e0223771–e0223771. 16 indexed citations
9.
Elkhenany, Hoda, Shawn E. Bourdo, Silke Hecht, et al.. (2017). Graphene nanoparticles as osteoinductive and osteoconductive platform for stem cell and bone regeneration. Nanomedicine Nanotechnology Biology and Medicine. 13(7). 2117–2126. 49 indexed citations
10.
Schumacher, James, et al.. (2016). Effects of pro-inflammatory cytokines on chondrogenesis of equine mesenchymal stromal cells derived from bone marrow or synovial fluid. The Veterinary Journal. 217. 26–32. 25 indexed citations
11.
Favi, Pelagie, et al.. (2013). Cell proliferation, viability, and in vitro differentiation of equine mesenchymal stem cells seeded on bacterial cellulose hydrogel scaffolds. Materials Science and Engineering C. 33(4). 1935–1944. 78 indexed citations
12.
Frank, Nicholas, et al.. (2006). Effects of Long-term Levothyroxine Administration on Adipose and Skeletal Muscle Tissue Glucose Transporter Gene Expression in Mares. Journal of Veterinary Internal Medicine. 20(3).
13.
Plummer, Howard K., Madhu Dhar, Maria Cekanova, & Hildegard M. Schuller. (2005). Expression of G-protein inwardly rectifying potassium channels (GIRKs) in lung cancer cell lines. BMC Cancer. 5(1). 104–104. 40 indexed citations
14.
Plummer, Howard K., Madhu Dhar, & Hildegard M. Schuller. (2005). Expression of the α7 nicotinic acetylcholine receptor in human lung cells. Respiratory Research. 6(1). 29–29. 79 indexed citations
15.
Ding, Feng, Madhu Dhar, Dabney K. Johnson, et al.. (2005). Lack of Pwcr1/MBII-85 snoRNA is critical for neonatal lethality in Prader–Willi syndrome mouse models. Mammalian Genome. 16(6). 424–431. 69 indexed citations
16.
Dhar, Madhu, Loren Hauser, Robert D. Nicholls, & Dabney K. Johnson. (2004). Physical Mapping of thePink-Eyed DilutionComplex in Mouse Chromosome 7 shows thatAtp10cis the only Transcript betweenGabrb3andUbe3a. DNA sequence. 15(4). 306–309. 3 indexed citations
17.
Wang, Yanxin, Sumithra Urs, Morvarid Soltani‐Bejnood, et al.. (2004). The Human Fatty Acid Synthase Gene and De Novo Lipogenesis Are Coordinately Regulated in Human Adipose Tissue. Journal of Nutrition. 134(5). 1032–1038. 101 indexed citations
18.
Paulus, Michael J., Shaun S. Gleason, Hamed Sari‐Sarraf, et al.. (2000). High-resolution X-ray CT Screening of Mutant Mouse Models. 3921. 16 indexed citations
19.
Percy, Maire E., Simon Wong, Marc D. Perry, et al.. (1998). Iron metabolism and human ferritin heavy chain cDNA from adult brain with an elongated untranslated region: new findings and insights†. The Analyst. 123(1). 41–50. 23 indexed citations
20.
Joshi, J G, Madhu Dhar, Martin Clauberg, & Vijay Chauthaiwale. (1994). Iron and aluminum homeostasis in neural disorders.. Environmental Health Perspectives. 102(suppl 3). 207–213. 19 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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