Andrew Bakshi
- Genetics top 1%
- Molecular Biology top 10%
- Cancer Research top 10%
- Surgery
- Immunology
- Co-authors
- Jian YangPeter M. VisscherZhihong ZhuMichael E. GoddardNaomi R. WrayGrant W. MontgomeryJoseph E. PowellMatthew R. Robinson
- Topics
- Genetic Associations and Epidemiology (18 papers)Genetic Mapping and Diversity in Plants and Animals (5 papers)Genetic and phenotypic traits in livestock (4 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Andrew Bakshi
31 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Genetics 1.5k
- Molecular Biology 1.1k
- Cancer Research 270
- Surgery 216
- Immunology 204
Countries citing papers authored by Andrew Bakshi
This map shows the geographic impact of Andrew Bakshi'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 Andrew Bakshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Bakshi more than expected).
Fields of papers citing papers by Andrew Bakshi
This network shows the impact of papers produced by Andrew Bakshi. 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 Andrew Bakshi. The network helps show where Andrew Bakshi may publish in the future.
Co-authorship network of co-authors of Andrew Bakshi
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Bakshi. A scholar is included among the top collaborators of Andrew Bakshi 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 Andrew Bakshi. Andrew Bakshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 13 | |
| 4 | 18 | |
| 5 | 3 | |
| 6 | 90 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | 20 | |
| 10 | 26 | |
| 11 | 163 | |
| 12 | 43 | |
| 13 | 81 | |
| 14 | 150 | |
| 15 | Integration of summary data from GWAS and eQTL studies predicts complex trait gene targetsbreakdown → | 1580 |
| 16 | 15 | |
| 17 | 93 | |
| 18 | 143 | |
| 19 | 38 | |
| 20 | A comparative study on simple correlation coefficient values in capsularis jute at different population levels. | 3 |
About Andrew Bakshi
Andrew Bakshi is a scholar working on Genetics, Statistics and Probability and Cancer Research, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (18 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Genetics (1.5k citations), Cancer Research (270 citations) and Molecular Biology (1.1k citations). Andrew Bakshi has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jian Yang, Peter M. Visscher, Zhihong Zhu, Michael E. Goddard, Naomi R. Wray, Grant W. Montgomery, Joseph E. Powell, Matthew R. Robinson, Futao Zhang and Han Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.
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.