Glen Lester Sequiera

1.1k citations
31 papers · 869 indexed · h-index 14
Topics
Pluripotent Stem Cells Research (12 papers)Mitochondrial Function and Pathology (7 papers)Mesenchymal stem cell research (7 papers)
Partner nations
CanadaSingaporeEgypt

In The Last Decade

Glen Lester Sequiera

30 papers receiving 860 citations

Peers

Glen Lester Sequiera
Comparison fields: 5 of 85
  • Molecular Biology 354
  • Materials Chemistry 312
  • Biomedical Engineering 267
  • Surgery 173
  • Cardiology and Cardiovascular Medicine 132
Replace Weiang Yan with:
Weiang Yan Canada
Niketa Sareen Canada
Z. Zhang China
Fukang Yuan China
Xueli Zhao China
Jun-Hee Park South Korea
Jian Tan China
Zhenqing Li China
Ekaterina A. Grebenik Russia
Zhiping Chen China
Glen Lester Sequiera relative to Weiang Yan Canada Weiang Yan's profile →
Citations per field
00.5×10×15×22×
Weiang Yan · 1×
Citations per year

Countries citing papers authored by Glen Lester Sequiera

Since Specialization
Citations

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

Fields of papers citing papers by Glen Lester Sequiera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glen Lester Sequiera. 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 Glen Lester Sequiera. The network helps show where Glen Lester Sequiera may publish in the future.

Co-authorship network of co-authors of Glen Lester Sequiera

This figure shows the co-authorship network connecting the top 25 collaborators of Glen Lester Sequiera. A scholar is included among the top collaborators of Glen Lester Sequiera 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 Glen Lester Sequiera. Glen Lester Sequiera 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 0
2 17
3 5
4 5
5 12
6 10
7 29
8 54
9 14
10 43
11 89
12 11
13 2
14 57
15 25
16 25
17 83
18 2
19 8
20 43

About Glen Lester Sequiera

Glen Lester Sequiera is a scholar working on Genetics, Clinical Biochemistry and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 869 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), Mitochondrial Function and Pathology (7 papers) and Mesenchymal stem cell research (7 papers). The work is most often cited by research in Genetics (109 citations), Biomaterials (104 citations) and Materials Chemistry (312 citations). Glen Lester Sequiera has collaborated with scholars based in Canada, Singapore and Egypt. Frequent co-authors include Sanjiv Dhingra, Weiang Yan, Niketa Sareen, Alireza Rafieerad, Meenal Moudgil, Ejlal Abu‐El‐Rub, Ahmad Amiri, Ashish Mehta, Winston Shim and Hania Ibrahim Ammar. Their work appears in journals such as PLoS ONE, Advanced Functional Materials 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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