Rakesh Kaundal

1.2k total citations
48 papers, 826 citations indexed

About

Rakesh Kaundal is a scholar working on Plant Science, Molecular Biology and Epidemiology. According to data from OpenAlex, Rakesh Kaundal has authored 48 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 23 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Rakesh Kaundal's work include Genomics and Phylogenetic Studies (13 papers), Machine Learning in Bioinformatics (10 papers) and Plant Stress Responses and Tolerance (7 papers). Rakesh Kaundal is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Machine Learning in Bioinformatics (10 papers) and Plant Stress Responses and Tolerance (7 papers). Rakesh Kaundal collaborates with scholars based in United States, India and China. Rakesh Kaundal's co-authors include Gajendra P. S. Raghava, Sitanshu Sekhar Sahu, Patrick X. Zhao, Reena V. Saini, Tyler Weirick, Firoz Ahmed, Simardeep Kaur, Devinder Sandhu, Donald L. Suarez and Ramamurthy Mahalingam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Bioinformatics.

In The Last Decade

Rakesh Kaundal

46 papers receiving 799 citations

Peers

Countries citing papers authored by Rakesh Kaundal

Since Specialization

Citations

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

Fields of papers citing papers by Rakesh Kaundal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rakesh Kaundal. 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 Rakesh Kaundal. The network helps show where Rakesh Kaundal may publish in the future.

Co-authorship network of co-authors of Rakesh Kaundal

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	AtSubP‐2.0: An integrated web server for the annotation of Arabidopsis proteome subcellular localization using deep learning 2025 ·The Plant Genome ·(unknown), Rakesh Kaundal	1
2	PRGminer: harnessing deep learning for the prediction of resistance genes involved in plant defense mechanisms 2025 ·Frontiers in Plant Science ·(unknown), Rakesh Kaundal	1
3	Transcription factor-mediated gene regulatory networks contributes to reproductive stage drought tolerance in rice (Oryza sativa) 2024 ·SHILAP Revista de lepidopterología ·(unknown), Karishma Seem, (unknown), Dwijesh Chandra Mishra, Rakesh Kaundal, Suresh Kumar, Trilochan Mohapatra	0
4	Restoration of virulence in the attenuated Candid#1 vaccine virus requires reversion at both positions 168 and 427 in the envelope glycoprotein GPC 2024 ·Journal of Virology ·Jack H. Nunberg, Jonna B. Westover, Joanne York, (unknown), Kevin W. Bailey, (unknown), Minghao Li, (unknown), (unknown), (unknown), Rakesh Kaundal, Aaron J. Thomas, Brian B. Gowen	2
5	Comparative miRNome and transcriptome analyses reveal the expression of novel miRNAs in the panicle of rice implicated in sustained agronomic performance under terminal drought stress 2024 ·Planta ·(unknown), Karishma Seem, (unknown), Suresh Kumar, Rakesh Kaundal, Trilochan Mohapatra	1
6	HuCoPIA: An Atlas of Human vs. SARS-CoV-2 Interactome and the Comparative Analysis with Other Coronaviridae Family Viruses 2023 ·Viruses ·(unknown), Rakesh Kaundal	1
7	Comparative Genome-Wide Analysis of MicroRNAs and Their Target Genes in Roots of Contrasting Indica Rice Cultivars under Reproductive-Stage Drought 2023 ·Genes ·Simardeep Kaur, Karishma Seem, Suresh Kumar, Rakesh Kaundal, Trilochan Mohapatra	8
8	Deciphering the complete human-monkeypox virus interactome: Identifying immune responses and potential drug targets 2023 ·Frontiers in Immunology ·(unknown), Simardeep Kaur, Rakesh Kaundal	15
9	ranchSATdb: A Genome-Wide Simple Sequence Repeat (SSR) Markers Database of Livestock Species for Mutant Germplasm Characterization and Improving Farm Animal Health 2023 ·Genes ·(unknown), Simardeep Kaur, Rakesh Kaundal	2
10	Transcriptome and Physio-Biochemical Profiling Reveals Differential Responses of Rice Cultivars at Reproductive-Stage Drought Stress 2023 ·International Journal of Molecular Sciences ·Simardeep Kaur, Karishma Seem, (unknown), Suresh Kumar, Rakesh Kaundal, Trilochan Mohapatra	24
11	WeCoNET: a host–pathogen interactome database for deciphering crucial molecular networks of wheat-common bunt cross-talk mechanisms 2022 ·Plant Methods ·(unknown), Rakesh Kaundal	8
12	Heat and drought induced transcriptomic changes in barley varieties with contrasting stress response phenotypes 2022 ·Frontiers in Plant Science ·Ramamurthy Mahalingam, (unknown), Rakesh Kaundal, Andrei Smertenko, (unknown), Phil Bregitzer	25
13	Deciphering the Crosstalk Mechanisms of Wheat-Stem Rust Pathosystem: Genome-Scale Prediction Unravels Novel Host Targets 2022 ·Frontiers in Plant Science ·(unknown), Rakesh Kaundal	4
14	ProFeatX: A parallelized protein feature extraction suite for machine learning 2022 ·Computational and Structural Biotechnology Journal ·(unknown), Rakesh Kaundal	3
15	Computational Systems Biology of Alfalfa – Bacterial Blight Host-Pathogen Interactions: Uncovering the Complex Molecular Networks for Developing Durable Disease Resistant Crop 2022 ·Frontiers in Plant Science ·(unknown), (unknown), Rakesh Kaundal	10
16	GreeningDB: A Database of Host–Pathogen Protein–Protein Interactions and Annotation Features of the Bacteria Causing Huanglongbing HLB Disease 2021 ·International Journal of Molecular Sciences ·(unknown), (unknown), Rakesh Kaundal	3
17	Insights into the Host Specificity of a New Oomycete Root Pathogen, Pythium brassicum P1: Whole Genome Sequencing and Comparative Analysis Reveals Contracted Regulation of Metabolism, Protein Families, and Distinct Pathogenicity Repertoire 2021 ·International Journal of Molecular Sciences ·Mojtaba Mohammadi, Eric A. Smith, M. E. Stanghellini, Rakesh Kaundal	2
18	Molecular characterization and expression analysis of the Na+/H+ exchanger gene family in Medicago truncatula 2017 ·Functional & Integrative Genomics ·Devinder Sandhu, (unknown), Rakesh Kaundal, Donald L. Suarez, Amita Kaundal, Rajandeep S. Sekhon	28
19	Proceedings of the 2012 MidSouth computational biology and bioinformatics society (MCBIOS) conference 2012 ·BMC Bioinformatics ·Jonathan D. Wren, Mikhail G. Dozmorov, Dennis Burian, Rakesh Kaundal, Susan M. Bridges, Doris M. Kupfer	1
20	RSLpred: an integrative system for predicting subcellular localization of rice proteins combining compositional and evolutionary information 2009 ·PROTEOMICS ·Rakesh Kaundal, Gajendra P. S. Raghava	36

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.

Explore authors with similar magnitude of impact