Mukesh Jain

16.5k total citations · 6 hit papers
147 papers, 12.2k citations indexed

About

Mukesh Jain is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Mukesh Jain has authored 147 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Plant Science, 72 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Mukesh Jain's work include Plant Molecular Biology Research (44 papers), Genetic and Environmental Crop Studies (39 papers) and Legume Nitrogen Fixing Symbiosis (33 papers). Mukesh Jain is often cited by papers focused on Plant Molecular Biology Research (44 papers), Genetic and Environmental Crop Studies (39 papers) and Legume Nitrogen Fixing Symbiosis (33 papers). Mukesh Jain collaborates with scholars based in India, United States and Australia. Mukesh Jain's co-authors include Ravi K. Patel, Akhilesh K. Tyagi, Jitendra P. Khurana, Rohini Garg, Aashima Nijhawan, Annapurna Bhattacharjee, Rama Shankar, Vikash Singh, Pushp Priya and Mohan Singh Rajkumar and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Development.

In The Last Decade

Mukesh Jain

144 papers receiving 11.9k citations

Hit Papers

align trajectories sort by overperformance

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.

NGS QC Toolkit: A Toolkit for Quality Control of Next Generation Sequencing Data

2012 2.3k citations Ravi K. Patel, Mukesh Jain PLoS ONE profile →
Validation of housekeeping genes as internal control for studying gene expression in rice by quantitative real-time PCR

2006 1.0k citations Mukesh Jain, Akhilesh K. Tyagi et al. profile →
F-Box Proteins in Rice. Genome-Wide Analysis, Classification, Temporal and Spatial Gene Expression during Panicle and Seed Development, and Regulation by Light and Abiotic Stress

2007 567 citations Mukesh Jain, Akhilesh K. Tyagi et al. profile →
Genomic Survey and Gene Expression Analysis of the Basic Leucine Zipper Transcription Factor Family in Rice

2007 540 citations Mukesh Jain, Akhilesh K. Tyagi et al. profile →
De Novo Assembly of Chickpea Transcriptome Using Short Reads for Gene Discovery and Marker Identification

2011 366 citations Rohini Garg, Ravi K. Patel et al. profile →
A draft genome sequence of the pulse crop chickpea (Cicer arietinum L.)

2013 318 citations Mukesh Jain, Ravi K. Patel et al. The Plant Journal profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mukesh Jain	8.6k	6.4k	1.3k	629	567	147	12.2k
Chengjie Chen	8.6k 1.0×	8.2k 1.3×	847 0.7×	571 0.9×	491 0.9×	75	13.4k
Yehua He	8.0k 0.9×	7.6k 1.2×	740 0.6×	492 0.8×	449 0.8×	39	12.1k
Margaret H. Frank	7.2k 0.8×	6.3k 1.0×	640 0.5×	472 0.8×	402 0.7×	29	10.4k
Haibao Tang	9.2k 1.1×	8.6k 1.3×	2.0k 1.5×	1.2k 1.8×	486 0.9×	90	13.4k
Hannah Rae Thomas	6.5k 0.7×	6.0k 0.9×	602 0.5×	376 0.6×	367 0.6×	15	9.6k
Manuel Talón	9.7k 1.1×	6.1k 1.0×	914 0.7×	757 1.2×	660 1.2×	157	13.5k
Jingchu Luo	7.5k 0.9×	6.8k 1.1×	913 0.7×	294 0.5×	227 0.4×	74	10.4k
Zhen Su	7.1k 0.8×	5.2k 0.8×	1.0k 0.8×	518 0.8×	178 0.3×	118	9.6k
Shin‐Han Shiu	9.1k 1.1×	7.6k 1.2×	997 0.8×	508 0.8×	284 0.5×	114	12.2k

Countries citing papers authored by Mukesh Jain

Since Specialization

Citations

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

Fields of papers citing papers by Mukesh Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukesh Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Jain. A scholar is included among the top collaborators of Mukesh Jain 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 Mukesh Jain. Mukesh Jain 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

Rajkumar, Mohan Singh, et al.. (2025). The PHYTOCHROME INTERACTING FACTOR 3, a bHLH transcription factor, promotes thermosensory growth by directly activating PIF4 transcription and its protein accumulation in Arabidopsis. New Phytologist. 247(4). 1742–1762.

Kharat, Arun S., et al.. (2025). A Multi‐Omics Meta‐Analysis of Rhizosphere Microbiome Reveals Growth‐Promoting Marker Bacteria at Different Stages of Legume Development. Plant Cell & Environment. 1 indexed citations

Jain, Mukesh. (2024). Gene regulatory networks in abiotic stress responses via single-cell sequencing and spatial technologies: Advances and opportunities. Current Opinion in Plant Biology. 82. 102662–102662. 3 indexed citations

Garg, Rohini, Sunil Kumar Sahu, & Mukesh Jain. (2024). Single same-cell multiome for dissecting key plant traits. Trends in Plant Science. 30(2). 128–130. 1 indexed citations

Shankar, Rama, et al.. (2023). Genome‐wide discovery of genetic variations between rice cultivars with contrasting drought stress response and their potential functional relevance. Physiologia Plantarum. 175(2). e13879–e13879. 4 indexed citations

Tiwari, Shalini, Mukesh Jain, Sneh L. Singla‐Pareek, et al.. (2023). Pokkali: A Naturally Evolved Salt-Tolerant Rice Shows a Distinguished Set of lncRNAs Possibly Contributing to the Tolerant Phenotype. International Journal of Molecular Sciences. 24(14). 11677–11677. 6 indexed citations

Yadav, Manoj Kumar, et al.. (2023). Spatially activated conserved auxin-transcription factor regulatory module controls de novo root organogenesis in rice. Planta. 258(3). 52–52. 2 indexed citations

Rajkumar, Mohan Singh, et al.. (2021). Genome‐wide profiling of miRNAs during seed development reveals their functional relevance in seed size/weight determination in chickpea. Plant Direct. 5(3). e00299–e00299. 15 indexed citations

Rajkumar, Mohan Singh, Rama Shankar, Rohini Garg, & Mukesh Jain. (2020). Bisulphite sequencing reveals dynamic DNA methylation under desiccation and salinity stresses in rice cultivars. Genomics. 112(5). 3537–3548. 53 indexed citations

10.

Sharma, Eshan, Mukesh Jain, & Jitendra P. Khurana. (2018). Differential quantitative regulation of specific gene groups and pathways under drought stress in rice. Genomics. 111(6). 1699–1712. 14 indexed citations

11.

Garg, Rohini, Vikash Singh, Mohan Singh Rajkumar, Vinay Kumar, & Mukesh Jain. (2017). Global transcriptome and coexpression network analyses reveal cultivar‐specific molecular signatures associated with seed development and seed size/weight determination in chickpea. The Plant Journal. 91(6). 1088–1107. 107 indexed citations

12.

Dixit, Aparna Banerjee, Jyotirmoy Banerjee, Arpna Srivastava, et al.. (2016). RNA-seq analysis of hippocampal tissues reveals novel candidate genes for drug refractory epilepsy in patients with MTLE-HS. Genomics. 107(5). 178–188. 66 indexed citations

13.

Garg, Rohini, et al.. (2015). Divergent DNA methylation patterns associated with gene expression in rice cultivars with contrasting drought and salinity stress response. Scientific Reports. 5(1). 14922–14922. 183 indexed citations

14.

Jain, Mukesh, Rohini Garg, & Rajeev K. Varshney. (2014). Abiotic Stress: Molecular Genetics and Genomics. Murdoch Research Repository (Murdoch University). 1 indexed citations

15.

Jain, Mukesh, Kanhu C. Moharana, Rama Shankar, Romika Kumari, & Rohini Garg. (2013). Genomewide discovery ofDNApolymorphisms in rice cultivars with contrasting drought and salinity stress response and their functional relevance. Plant Biotechnology Journal. 12(2). 253–264. 100 indexed citations

16.

Patel, Ravi K. & Mukesh Jain. (2012). NGS QC Toolkit: A Toolkit for Quality Control of Next Generation Sequencing Data. PLoS ONE. 7(2). e30619–e30619. 2315 indexed citations breakdown →

17.

Jhanwar, Shalu, Pushp Priya, Rohini Garg, et al.. (2012). Transcriptome sequencing of wild chickpea as a rich resource for marker development. Plant Biotechnology Journal. 10(6). 690–702. 91 indexed citations

18.

Jain, Mukesh & Neera Bhalla‐Sarin. (2000). Effect of glyphosate on the activity of DAHP synthase isozymes in callus cultures of groundnut (Arachis hypogaea L.) selected in vitro.. Indian Journal of Biochemistry and Biophysics. 37(4). 235–240. 2 indexed citations

19.

Taylor, William C. & Mukesh Jain. (1991). WARRANTS FOR PASSING LANES. Transportation Research Record Journal of the Transportation Research Board. 10 indexed citations

20.

Jain, Mukesh, et al.. (1991). CRITERIA FOR PASSING RELIEF LANES ON TWO-LANE HIGHWAYS. ITE journal. 61(2). 25–30. 2 indexed citations

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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