Meenu Ghai

46 total papers · 1.1k total citations
32 papers, 693 citations indexed

About

Meenu Ghai is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Meenu Ghai has authored 32 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Plant Science. Recurrent topics in Meenu Ghai's work include Epigenetics and DNA Methylation (10 papers), Forensic and Genetic Research (4 papers) and Biosensors and Analytical Detection (4 papers). Meenu Ghai is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Forensic and Genetic Research (4 papers) and Biosensors and Analytical Detection (4 papers). Meenu Ghai collaborates with scholars based in South Africa, India and Switzerland. Meenu Ghai's co-authors include Farzeen Kader, H. S. Dhaliwal, Parveen Chhuneja, Beat Keller, Kuldeep Singh, Ademola O. Olaniran, Leah Maharaj, Thorsten Schnurbusch, N. S. Bains and Satinder Kaur and has published in prestigious journals such as Gene, International Journal of Environmental Research and Public Health and Theoretical and Applied Genetics.

In The Last Decade

Meenu Ghai

31 papers receiving 667 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Meenu Ghai 341 222 188 54 34 32 693
Helen A. Foster 492 1.4× 129 0.6× 201 1.1× 52 1.0× 45 1.3× 26 725
Abigail L. LaBella 407 1.2× 173 0.8× 167 0.9× 23 0.4× 18 0.5× 33 722
Julie Hussin 295 0.9× 76 0.3× 270 1.4× 65 1.2× 12 0.4× 36 647
Rebekah S. Rasooly 335 1.0× 100 0.5× 174 0.9× 63 1.2× 95 2.8× 30 671
Zakir Ullah 414 1.2× 235 1.1× 65 0.3× 41 0.8× 38 1.1× 30 750
Lulu Yang 263 0.8× 114 0.5× 88 0.5× 41 0.8× 27 0.8× 50 779
Jian Wang 224 0.7× 188 0.8× 156 0.8× 86 1.6× 12 0.4× 62 644
Jianrong Wang 471 1.4× 183 0.8× 76 0.4× 44 0.8× 14 0.4× 36 584
Xianzhong Wang 259 0.8× 213 1.0× 80 0.4× 80 1.5× 18 0.5× 53 776
Ling Zhang 425 1.2× 228 1.0× 165 0.9× 25 0.5× 9 0.3× 44 753

Countries citing papers authored by Meenu Ghai

Since Specialization
Citations

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

Fields of papers citing papers by Meenu Ghai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meenu Ghai

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

All Works

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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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