Tanmaya Kumar Sahu

947 citations
39 papers · 707 indexed · 1 hit paper · h-index 12
Topics
Machine Learning in Bioinformatics (13 papers)Genomics and Phylogenetic Studies (12 papers)RNA and protein synthesis mechanisms (8 papers)
Partner nations
IndiaUnited StatesCanada

In The Last Decade

Tanmaya Kumar Sahu

37 papers receiving 699 citations

Hit Papers

Predicting antimicrobial peptides with improved accuracy ...20172026202020232017100200300400

Peers

Tanmaya Kumar Sahu
Comparison fields: 5 of 77
  • Molecular Biology 566
  • Microbiology 237
  • Plant Science 92
  • Ecology 43
  • Immunology 40
Replace Prabina Kumar Meher with:
Prabina Kumar Meher India
Ming Tan China
Faiza Hanif Waghu India
Muhammad Usman Akhtar China
Xiaoling Chen United Kingdom
Alla Gagarinova Canada
Julian Kreis Germany
Daniel M. Santos Brazil
Gilad Yaakov Israel
Tanmaya Kumar Sahu relative to Prabina Kumar Meher India Prabina Kumar Meher's profile →
Citations per field
00.5×1.5×
Prabina Kumar Meher · 1×
Citations per year

Countries citing papers authored by Tanmaya Kumar Sahu

Since Specialization
Citations

This map shows the geographic impact of Tanmaya Kumar Sahu'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 Tanmaya Kumar Sahu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanmaya Kumar Sahu more than expected).

Fields of papers citing papers by Tanmaya Kumar Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanmaya Kumar Sahu. 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 Tanmaya Kumar Sahu. The network helps show where Tanmaya Kumar Sahu may publish in the future.

Co-authorship network of co-authors of Tanmaya Kumar Sahu

This figure shows the co-authorship network connecting the top 25 collaborators of Tanmaya Kumar Sahu. A scholar is included among the top collaborators of Tanmaya Kumar Sahu 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 Tanmaya Kumar Sahu. Tanmaya Kumar Sahu 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
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Computational identification of putative genes and vital amino acids involved in biennial rhythm in mango (Mangifera indica L.)
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About Tanmaya Kumar Sahu

Tanmaya Kumar Sahu is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science, having authored 39 papers that have together received 707 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (13 papers), Genomics and Phylogenetic Studies (12 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Microbiology (237 citations), Molecular Biology (566 citations) and Plant Science (92 citations). Tanmaya Kumar Sahu has collaborated with scholars based in India, United States and Canada. Frequent co-authors include A. R. Rao, Prabina Kumar Meher, Varsha Saini, Ajit Gupta, Anuj Kumar, Amit Kumar Singh, Bijay Kumar Behera, Monendra Grover, Ajaya Kumar Rout and Om Parkash Dhankher. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Microbiology.

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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