Manu Mangal
Impact in
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- Computational Drug Discovery Methods
Papers in
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- CRISPR and Genetic Engineering 2
- Plant biochemistry and biosynthesis 1
- Gene expression and cancer classification 1
- Pluripotent Stem Cells Research 1
- Genetics 2
- Animal Genetics and Reproduction 2
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Co-authors
- Subhash Mohan Agarwal (3 shared papers)Harinder Singh (1 shared paper)Gajendra P. S. Raghava (1 shared paper)Mohd Imran Khan (1 shared paper)Prashant K. Srivastava (1 shared paper)Kristin M. Whitworth (1 shared paper)Surabhi Sharma (2 shared papers)Suman Chaudhary (1 shared paper)
- Journals
- Animals (1 paper)Gene (1 paper)Reproduction in Domestic Animals (1 paper)Theriogenology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Manu Mangal
7 papers receiving 292 citations
Peers
Comparison fields: 5 of 61
- Horticulture 10
- Computational Theory and Mathematics 104
- Biochemistry 29
- Pharmacology 60
- Pharmacology 26
Countries citing papers authored by Manu Mangal
This map shows the geographic impact of Manu Mangal'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 Manu Mangal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manu Mangal more than expected).
Fields of papers citing papers by Manu Mangal
This network shows the impact of papers produced by Manu Mangal. 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 Manu Mangal. The network helps show where Manu Mangal may publish in the future.
Co-authors
The 15 scholars most cited alongside Manu Mangal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 229 | |
| 2 | 2015 | 41 | |
| 3 | 2013 | 18 | |
| 4 | 2023 | 7 | |
| 5 | 2019 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2025 | 1 |
About Manu Mangal
Manu Mangal is a scholar working on Molecular Biology, Genetics, Pharmacology, Agronomy and Crop Science and Computational Theory and Mathematics, having authored 7 papers that have together received 299 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (2 papers), CRISPR and Genetic Engineering (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Traditional and Medicinal Uses of Annonaceae (1 paper), Horticultural and Viticultural Research (1 paper), Plant biochemistry and biosynthesis (1 paper), Gene expression and cancer classification (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Horticulture (10 citations), Computational Theory and Mathematics (104 citations), Biochemistry (29 citations), Pharmacology (60 citations) and Pharmacology (26 citations). Manu Mangal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Subhash Mohan Agarwal, Harinder Singh, Gajendra P. S. Raghava, Mohd Imran Khan, Prashant K. Srivastava, Kristin M. Whitworth, Surabhi Sharma, Suman Chaudhary, Tirtha Kumar Datta and Dharmendra Kumar. Their work appears in journals such as Animals, Gene, Reproduction in Domestic Animals, Theriogenology and Nucleic Acids 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.