Prabina Kumar Meher

1.6k total citations · 1 hit paper
57 papers, 1.1k citations indexed

About

Prabina Kumar Meher is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Prabina Kumar Meher has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 23 papers in Plant Science and 17 papers in Genetics. Recurrent topics in Prabina Kumar Meher's work include Machine Learning in Bioinformatics (20 papers), Genomics and Phylogenetic Studies (17 papers) and RNA and protein synthesis mechanisms (16 papers). Prabina Kumar Meher is often cited by papers focused on Machine Learning in Bioinformatics (20 papers), Genomics and Phylogenetic Studies (17 papers) and RNA and protein synthesis mechanisms (16 papers). Prabina Kumar Meher collaborates with scholars based in India, United States and Canada. Prabina Kumar Meher's co-authors include A. R. Rao, Tanmaya Kumar Sahu, Varsha Saini, Anuj Kumar, P. K. Gupta, Ajit Gupta, Sachin Rustgi, Anil Rai, Vijay Gahlaut and H. S. Balyan and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Prabina Kumar Meher

53 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC

2017 408 citations Prabina Kumar Meher, Tanmaya Kumar Sahu et al. Scientific Reports profile →

Peers

Countries citing papers authored by Prabina Kumar Meher

Since Specialization

Citations

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

Fields of papers citing papers by Prabina Kumar Meher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabina Kumar Meher

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	PredPSP: a novel computational tool to discover pathway-specific photosynthetic proteins in plants 2024 ·Plant Molecular Biology ·Prabina Kumar Meher, (unknown), (unknown), (unknown), Ajit Gupta, Rajender Parsad	1
2	ASPTF: A computational tool to predict abiotic stress-responsive transcription factors in plants by employing machine learning algorithms 2024 ·Biochimica et Biophysica Acta (BBA) - General Subjects ·(unknown), (unknown), (unknown), Ajit Gupta, Rajender Parsad, Vijay Gahlaut, (unknown), Prabina Kumar Meher	3
3	ASLncR: a novel computational tool for prediction of abiotic stress-responsive long non-coding RNAs in plants 2023 ·Functional & Integrative Genomics ·(unknown), Prabina Kumar Meher, (unknown), A. R. Rao, Ajit Gupta	9
4	Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat ( Triticum aestivum L.) 2023 ·The Plant Genome ·Prabina Kumar Meher, Ajit Gupta, Sachin Rustgi, Reyazul Rouf Mir, Anuj Kumar, Jitendra Kumar, H. S. Balyan, P. K. Gupta	1
5	DBPMod: a supervised learning model for computational recognition of DNA-binding proteins in model organisms 2023 ·Briefings in Functional Genomics ·(unknown), Prabina Kumar Meher, (unknown), Nitesh Kumar Sharma, (unknown), Ajit Gupta, Rajender Parsad	4
6	ASRpro: A machine‐learning computational model for identifying proteins associated with multiple abiotic stress in plants 2022 ·The Plant Genome ·Prabina Kumar Meher, Tanmaya Kumar Sahu, Ajit Gupta, Anuj Kumar, Sachin Rustgi	10
7	GWAS for main effects and epistatic interactions for grain morphology traits in wheat 2022 ·Physiology and Molecular Biology of Plants ·(unknown), Jitendra Kumar, (unknown), Prabina Kumar Meher, H. S. Balyan, P. K. Gupta, Shailendra Sharma	14
8	PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel 2021 ·Plant Methods ·Prabina Kumar Meher, (unknown), (unknown), Anuj Sharma, Isha Saini, Anuj Kumar, Anil Rai	6
9	Publisher Correction: miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides 2021 ·Scientific Reports ·Prabina Kumar Meher, (unknown), A. R. Rao	2
10	Single-trait, multi-locus and multi-trait GWAS using four different models for yield traits in bread wheat 2021 ·Molecular Breeding ·(unknown), Jitendra Kumar, (unknown), (unknown), Prabina Kumar Meher, M. K. Sharma, Joy Roy, Pradeep Sharma, H. S. Balyan, P. K. Gupta, Shailendra Sharma	15
11	miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides 2020 ·Scientific Reports ·Prabina Kumar Meher, (unknown), A. R. Rao	19
12	ToxA–Tsn1Interaction for Spot Blotch Susceptibility in Indian Wheat: An Example of Inverse Gene-for-Gene Relationship 2019 ·Plant Disease ·Sudhir Navathe, (unknown), Ramesh Chand, Vinod Kumar Mishra, Neeraj Kumar Vasistha, Prabina Kumar Meher, Arun Kumar Joshi, P. K. Gupta	47
13	ir-HSP: Improved Recognition of Heat Shock Proteins, Their Families and Sub-types Based On g-Spaced Di-peptide Features and Support Vector Machine 2018 ·Frontiers in Genetics ·Prabina Kumar Meher, Tanmaya Kumar Sahu, (unknown), A. R. Rao	21
14	DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteins 2017 ·BMC Bioinformatics ·Prabina Kumar Meher, Tanmaya Kumar Sahu, (unknown), A. R. Rao	14
15	Performance evaluation of neural network, support vector machine and random forest for prediction of donor splice sites in rice 2016 ·Indian Journal of Genetics and Plant Breeding (The) ·Prabina Kumar Meher, Tanmaya Kumar Sahu, A. R. Rao	3
16	Genome Wide Single Locus Single Trait, Multi-Locus and Multi-Trait Association Mapping for Some Important Agronomic Traits in Common Wheat (T. aestivum L.) 2016 ·PLoS ONE ·Vandana Jaiswal, Vijay Gahlaut, Prabina Kumar Meher, Reyazul Rouf Mir, Jai Prakash Jaiswal, A. R. Rao, H. S. Balyan, P. K. Gupta	54
17	Identification of a suitable clustering method and allocation strategy for core set development in salt stress tolerant rice (Oryza sativa) germplasm 2015 ·The Indian Journal of Agricultural Sciences ·(unknown), A. R. Rao, Prabina Kumar Meher, Sudeep Marwaha, (unknown)	0
18	Evaluation of random forest regression for prediction of breeding value from genomewide SNPs 2015 ·Journal of Genetics ·(unknown), A. R. Rao, Prabina Kumar Meher, (unknown), Trilochan Mohapatra	18
19	Application of Gibbs sampling methodology for identification of transcription factor binding sites in MADS box family genes in Arabidopsis thaliana 2014 ·Indian Journal of Genetics and Plant Breeding (The) ·Prabina Kumar Meher, Tanmaya Kumar Sahu, A. R. Rao, (unknown)	2
20	A statistical approach for 5′ splice site prediction using short sequence motifs and without encoding sequence data 2014 ·BMC Bioinformatics ·Prabina Kumar Meher, Tanmaya Kumar Sahu, A. R. Rao, (unknown)	13

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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