Sanjeena Subedi
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference 5
- Plant Science top 10%
- Postharvest Quality and Shelf Life Management 4
- Artificial Intelligence top 10%
- Bayesian Methods and Mixture Models 17
-
- Gene expression and cancer classification 7
- Gut microbiota and health 4
-
- Genetic and phenotypic traits in livestock 4
- Genetic Mapping and Diversity in Plants and Animals 4
-
- Spectroscopy Techniques in Biomedical and Chemical Research 3
- Co-authors
- Paul D. McNicholasGale G. BozzoJennifer R. DeEllBarry J. ShelpJeffrey L. AndrewsSteven J. RothsteinZeny FengGordon J. Hoover
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (1 paper)Bioinformatics (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Sanjeena Subedi
33 papers receiving 574 citations
Peers
Comparison fields: 5 of 114
- Statistics and Probability 77
- Plant Science 255
- Computational Mathematics 3
- Biochemistry 28
- Artificial Intelligence 145
Countries citing papers authored by Sanjeena Subedi
This map shows the geographic impact of Sanjeena Subedi'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 Sanjeena Subedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeena Subedi more than expected).
Fields of papers citing papers by Sanjeena Subedi
This network shows the impact of papers produced by Sanjeena Subedi. 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 Sanjeena Subedi. The network helps show where Sanjeena Subedi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanjeena Subedi, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 0 | |
| 12 | 2020 | 11 | |
| 13 | 2018 | 48 | |
| 14 | 2017 | 40 | |
| 15 | 2017 | 26 | |
| 16 | 2015 | 29 | |
| 17 | 2014 | 39 | |
| 18 | 2014 | 17 | |
| 19 | 2013 | 90 | |
| 20 | 2011 | 21 |
About Sanjeena Subedi
Sanjeena Subedi is a scholar working on Statistics and Probability, Artificial Intelligence and Biophysics, having authored 39 papers that have together received 593 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (17 papers), Gene expression and cancer classification (7 papers), Statistical Methods and Bayesian Inference (5 papers), Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Postharvest Quality and Shelf Life Management (4 papers), Gut microbiota and health (4 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (3 papers). The work is most often cited by research in Statistics and Probability (77 citations), Plant Science (255 citations) and Computational Mathematics (3 citations). Sanjeena Subedi has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Paul D. McNicholas, Gale G. Bozzo, Jennifer R. DeEll, Barry J. Shelp, Jeffrey L. Andrews, Steven J. Rothstein, Zeny Feng, Gordon J. Hoover, Sabrina Humbert and Jonathan Cohn. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Bioinformatics.
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.