Sanjeena Subedi

968 citations
39 papers · 593 indexed · h-index 15
Topics
Bayesian Methods and Mixture Models (17 papers)Gene expression and cancer classification (7 papers)Statistical Methods and Bayesian Inference (5 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Sanjeena Subedi

33 papers receiving 574 citations

Peers

Sanjeena Subedi
Comparison fields: 5 of 114
  • Plant Science 255
  • Molecular Biology 159
  • Artificial Intelligence 145
  • Statistics and Probability 77
  • Genetics 68
Replace B. N. Chakraborty with:
B. N. Chakraborty India
Haifen Li China
A. Gerami Iran
Γεώργιος Παπαδόπουλος Greece
Joshua Habiger United States
María Eugenia Castellanos Spain
Claus Jensen Denmark
Miguel A. Juárez United Kingdom
Tim Keighley Australia
Yue Niu United States
Sanjeena Subedi relative to B. N. Chakraborty India B. N. Chakraborty's profile →
Citations per field
00.5×3.1×
B. N. Chakraborty · 1×
Citations per year

Countries citing papers authored by Sanjeena Subedi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Sanjeena Subedi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
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4 0
5 0
6 3
7 0
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10 6
11 0
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13 48
14 40
15 26
16 29
17 39
18 17
19 90
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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) and Statistical Methods and Bayesian Inference (5 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.

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