Manishi Mukesh
- Agronomy and Crop Science top 1%
- Milk Quality and Mastitis in Dairy Cows 16
- Animal Science and Zoology top 2%
- Effects of Environmental Stressors on Livestock 19
- Genetics top 2%
- Genetic and phenotypic traits in livestock 48
- Animal Genetics and Reproduction 23
- Genetic diversity and population structure 16
- Genetic Mapping and Diversity in Plants and Animals 14
- Cancer Research top 10%
- Small Animals top 5%
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- Molecular Biology Techniques and Applications 16
- Heat shock proteins research 12
Manishi Mukesh
118 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 97
- Agronomy and Crop Science 484
- Animal Science and Zoology 352
- Genetics 855
- Cancer Research 206
- Small Animals 71
Countries citing papers authored by Manishi Mukesh
This map shows the geographic impact of Manishi Mukesh'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 Manishi Mukesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manishi Mukesh more than expected).
Fields of papers citing papers by Manishi Mukesh
This network shows the impact of papers produced by Manishi Mukesh. 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 Manishi Mukesh. The network helps show where Manishi Mukesh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manishi Mukesh, 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 | 2023 | 4 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 3 | |
| 4 | 2019 | 3 | |
| 5 | 2017 | 9 | |
| 6 | 2015 | 1 | |
| 7 | 2015 | 8 | |
| 8 | 2015 | 4 | |
| 9 | 2013 | 13 | |
| 10 | Partial characterization and tissue-specific expression profile of immunoglobulin M heavy chain gene in rohu, Labeo rohita (Hamilton, 1822) | 2013 | 3 |
| 11 | Evaluation of internal control genes for gene expression studies in skeletal muscle of riverine buffaloes | 2013 | 2 |
| 12 | 2013 | 4 | |
| 13 | Screening of taurine and crossbred breeding bulls for A1/A2 variants of β-casein gene | 2012 | 7 |
| 14 | Characterization of Shahabadi cattle of Bihar - phenotypic and molecular approaches. | 2012 | 3 |
| 15 | 2012 | 26 | |
| 16 | Status of milk protein, ß-casein variants among Indian milch animals | 2009 | 22 |
| 17 | 2009 | 26 | |
| 18 | 2006 | 8 | |
| 19 | 2005 | 22 | |
| 20 | Assessment of population structure and microsatellite based genetic variability in Sahiwal cattle | 2004 | 3 |
About Manishi Mukesh
Manishi Mukesh is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology, having authored 124 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (48 papers), Animal Genetics and Reproduction (23 papers), Effects of Environmental Stressors on Livestock (19 papers), Milk Quality and Mastitis in Dairy Cows (16 papers), Molecular Biology Techniques and Applications (16 papers), Genetic diversity and population structure (16 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Heat shock proteins research (12 papers). The work is most often cited by research in Agronomy and Crop Science (484 citations), Animal Science and Zoology (352 citations) and Genetics (855 citations). Manishi Mukesh has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Monika Sodhi, R. S. Kataria, Amit Kishore, Bina Mishra, Sabhyata Bhatia, Ankita Sharma, Ashok Kumar Mohanty, Sonika Ahlawat, Bishnu Prasad Mishra and Parvesh Kumari. Their work appears in journals such as Biochemical Genetics, Journal of Animal Breeding and Genetics, Livestock Science, Molecular Biology Reports and Gene.
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.