Daljeet Mahay

1.1k citations
10 papers · 916 indexed · 1 hit paper · h-index 7
Topics
Mesenchymal stem cell research (7 papers)Nerve injury and regeneration (7 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)

In The Last Decade

Daljeet Mahay

10 papers receiving 900 citations

Hit Papers

Adipose-derived stem cells differentiate into a Schwann c...20072026201320192007100200300400500

Peers

Daljeet Mahay
Comparison fields: 5 of 63
  • Cellular and Molecular Neuroscience 682
  • Genetics 511
  • Surgery 304
  • Biomaterials 207
  • Developmental Neuroscience 184
Replace Tong Xiao-jie with:
Tong Xiao-jie China
Michiyo Esaki Japan
Fernanda Martins de Almeida Brazil
Masahiko Takano Japan
Kazuya Kataoka Japan
Ignacio García‐Gómez United States
Melanie Georgiou United Kingdom
Hajime Matsumine Japan
Tobias Führmann Germany
Mingyong Gao China
Daljeet Mahay relative to Tong Xiao-jie China Tong Xiao-jie's profile →
Citations per field
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Tong Xiao-jie · 1×
Citations per year

Countries citing papers authored by Daljeet Mahay

Since Specialization
Citations

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

Fields of papers citing papers by Daljeet Mahay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daljeet Mahay

This figure shows the co-authorship network connecting the top 25 collaborators of Daljeet Mahay. A scholar is included among the top collaborators of Daljeet Mahay 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 Daljeet Mahay. Daljeet Mahay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 49
2 90
3
Development of an In Vitro Co-Culture Model to Investigate Peripheral Myelin Formation with Human Mesenchymal Stem Cells
1
4 90
5 91
6 44
7 2
8 39
9
Adipose-derived stem cells differentiate into a Schwann cell phenotype and promote neurite outgrowth in vitrobreakdown →
509
10
Development of an in vitro co-culture model to investigate peripheral myelin formation
1

About Daljeet Mahay

Daljeet Mahay is a scholar working on Developmental Neuroscience, Genetics and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 916 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Nerve injury and regeneration (7 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Genetics (511 citations), Developmental Neuroscience (184 citations) and Cellular and Molecular Neuroscience (682 citations). Daljeet Mahay has collaborated with scholars based in United Kingdom, Sweden and Switzerland. Frequent co-authors include Giorgio Terenghi, Mikael Wiberg, Paul J. Kingham, Daniel F. Kalbermatten, Susan Shawcross, Cristina Mantovani, G. Terenghi, G. Pierer, Maria Brohlin and Lev N. Novikov. Their work appears in journals such as Experimental Cell Research, Experimental Neurology and Neuroscience Research.

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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