Madhu Dhar

2.4k citations
90 papers · 1.8k indexed · h-index 24
Topics
Mesenchymal stem cell research (16 papers)Bone Tissue Engineering Materials (15 papers)Tissue Engineering and Regenerative Medicine (14 papers)
Partner nations
United StatesEgyptIndia

In The Last Decade

Madhu Dhar

89 papers receiving 1.8k citations

Peers

Madhu Dhar
Comparison fields: 5 of 117
  • Molecular Biology 607
  • Biomedical Engineering 484
  • Surgery 315
  • Genetics 260
  • Biomaterials 221
Replace Tiziana Martinello with:
Tiziana Martinello Italy
Csaba Matta Hungary
Eiva Bernotienė Lithuania
Gonhyung Kim South Korea
Susanne Grässel Germany
Jie Jiang China
P A Hulley United Kingdom
Fabio Quondamatteo Germany
Florina Moldovan Canada
Heyong Yin China
Madhu Dhar relative to Tiziana Martinello Italy Tiziana Martinello's profile →
Citations per field
00.5×4.2×
Tiziana Martinello · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 2
3 3
4 1
5 12
6 5
7 40
8 16
9 49
10 25
11 78
12
Effects of Long-term Levothyroxine Administration on Adipose and Skeletal Muscle Tissue Glucose Transporter Gene Expression in Mares
0
13 40
14 79
15 69
16 3
17 101
18
High-resolution X-ray CT Screening of Mutant Mouse Models
16
19 23
20 19

About Madhu Dhar

Madhu Dhar is a scholar working on Genetics, Urology and Equine, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (16 papers), Bone Tissue Engineering Materials (15 papers) and Tissue Engineering and Regenerative Medicine (14 papers). The work is most often cited by research in Genetics (260 citations), Urology (113 citations) and Biomaterials (221 citations). Madhu Dhar has collaborated with scholars based in United States, Egypt and India. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

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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