Sabhyata Bhatia

4.3k total citations · 1 hit paper
95 papers, 3.2k citations indexed

About

Sabhyata Bhatia is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Sabhyata Bhatia has authored 95 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Plant Science, 27 papers in Genetics and 15 papers in Molecular Biology. Recurrent topics in Sabhyata Bhatia's work include Genetic and Environmental Crop Studies (41 papers), Agricultural pest management studies (32 papers) and Legume Nitrogen Fixing Symbiosis (31 papers). Sabhyata Bhatia is often cited by papers focused on Genetic and Environmental Crop Studies (41 papers), Agricultural pest management studies (32 papers) and Legume Nitrogen Fixing Symbiosis (31 papers). Sabhyata Bhatia collaborates with scholars based in India, United States and Canada. Sabhyata Bhatia's co-authors include Bhumika Shokeen, Niroj Kumar Sethy, Reena Arora, Shalu Choudhary, Mukesh Jain, Debasis Chattopadhyay, Akhilesh K. Tyagi, Gitanjali Yadav, Shefali Gupta and Chandra Kant and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Sabhyata Bhatia

90 papers receiving 3.0k citations

Hit Papers

A draft genome sequence of the pulse crop chickpea (Cicer... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sabhyata Bhatia India 33 2.4k 754 716 408 182 95 3.2k
Mahendar Thudi India 39 3.8k 1.6× 518 0.7× 486 0.7× 376 0.9× 236 1.3× 103 4.2k
Jérôme Salse France 35 2.9k 1.2× 936 1.2× 1.4k 1.9× 374 0.9× 212 1.2× 61 3.3k
Grégoire Aubert France 33 3.1k 1.3× 476 0.6× 648 0.9× 234 0.6× 423 2.3× 61 3.3k
Shunxue Tang United States 25 2.0k 0.8× 823 1.1× 671 0.9× 238 0.6× 108 0.6× 34 2.3k
Judith Burstin France 32 2.6k 1.1× 537 0.7× 491 0.7× 184 0.5× 275 1.5× 51 2.8k
Manish Roorkiwal India 29 3.4k 1.4× 1.2k 1.5× 492 0.7× 234 0.6× 253 1.4× 69 3.7k
Kishor Gaikwad India 28 2.4k 1.0× 582 0.8× 945 1.3× 144 0.4× 101 0.6× 130 2.8k
Dominique Brunel France 26 2.0k 0.8× 1.0k 1.4× 991 1.4× 115 0.3× 94 0.5× 39 2.4k
Laurent Gentzbittel France 33 2.9k 1.2× 447 0.6× 775 1.1× 121 0.3× 240 1.3× 87 3.1k
Benjamin Stich Germany 27 2.2k 0.9× 1.2k 1.6× 639 0.9× 104 0.3× 160 0.9× 87 2.7k

Countries citing papers authored by Sabhyata Bhatia

Since Specialization
Citations

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

Fields of papers citing papers by Sabhyata Bhatia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabhyata Bhatia

This figure shows the co-authorship network connecting the top 25 collaborators of Sabhyata Bhatia. A scholar is included among the top collaborators of Sabhyata Bhatia 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 Sabhyata Bhatia. Sabhyata Bhatia 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
2.
Chakraborty, Anirban, et al.. (2025). Delineating microRNA169‐Nuclear Factor Y‐Subunit A Module for Its Potential Implications in Crop Improvement. Plant Cell & Environment. 2 indexed citations
3.
Chaurasia, Shiksha, et al.. (2025). Key Determinants of Seed Size for Enhancing Genetic Gain in Legumes. Plant Cell & Environment.
4.
Chakraborty, Anirban, B. P. Singh, Vimal Pandey, Swarup K. Parida, & Sabhyata Bhatia. (2024). MicroRNA164e suppresses NAC100 transcription factor‐mediated synthesis of seed storage proteins in chickpea. New Phytologist. 242(6). 2652–2668. 2 indexed citations
5.
Singh, B. P., Sangeeta Singh, Ajay Kumar Mahato, et al.. (2023). Delineation of novel genomic loci and putative candidate genes associated with seed iron and zinc content in lentil (Lens culinaris Medik.). Plant Science. 335. 111787–111787. 4 indexed citations
6.
Singh, Gourav, Priyanka Jain, Anirban Chakraborty, et al.. (2023). Comparative transcriptomic and metabolite profiling reveals genotype‐specific responses to Fe starvation in chickpea. Physiologia Plantarum. 175(2). e13897–e13897. 4 indexed citations
7.
Singh, B. P., et al.. (2023). Evolutionary insights into 3D genome organization and epigenetic landscape ofVigna mungo. Life Science Alliance. 7(1). e202302074–e202302074. 3 indexed citations
8.
Chakraborty, Anirban, et al.. (2022). Integrated genomic approaches delineate a novel role ofROP1 ENHANCER1in controlling seed protein content of chickpea. Journal of Experimental Botany. 74(3). 817–834. 5 indexed citations
9.
Verma, Subodh, et al.. (2021). Identification and molecular characterization of miRNAs and their target genes associated with seed development through small RNA sequencing in chickpea. Functional & Integrative Genomics. 21(2). 283–298. 11 indexed citations
10.
Tiwari, Manish, et al.. (2021). Evolutionary and functional analysis of two‐component system in chickpea reveals CaRR13, a TypeB RR, as positive regulator of symbiosis. Plant Biotechnology Journal. 19(12). 2415–2427. 20 indexed citations
11.
Tiwari, Manish, et al.. (2021). High throughput identification of miRNAs reveal novel interacting targets regulating chickpea-rhizobia symbiosis. Environmental and Experimental Botany. 186. 104469–104469. 17 indexed citations
12.
Tiwari, Manish, Vimal Pandey, B. P. Singh, & Sabhyata Bhatia. (2020). Dynamics ofmiRNAmediated regulation of legume symbiosis. Plant Cell & Environment. 44(5). 1279–1291. 25 indexed citations
13.
Gaur, Rashmi, et al.. (2020). A high-density SNP-based linkage map using genotyping-by-sequencing and its utilization for improved genome assembly of chickpea (Cicer arietinum L.). Functional & Integrative Genomics. 20(6). 763–773. 8 indexed citations
14.
Verma, Subodh & Sabhyata Bhatia. (2018). Analysis of genes encoding seed storage proteins (SSPs) in chickpea (Cicer arietinum L.) reveals co-expressing transcription factors and a seed-specific promoter. Functional & Integrative Genomics. 19(3). 373–390. 12 indexed citations
15.
16.
Sharma, Rekha, Avinash Pandey, A. Maitra, et al.. (2010). Microsatellite based diversity estimation of Changthangi - a high altitude sheep breed of India.. The Indian Journal of Animal Sciences. 80(5). 436–440. 9 indexed citations
17.
Arora, Reena, et al.. (2008). Genetic variability in Jalauni sheep of India inferred from microsatellite data. Livestock research for rural development. 20(1). 16 indexed citations
18.
Sethy, Niroj Kumar, Bhumika Shokeen, Keith J. Edwards, & Sabhyata Bhatia. (2006). Development of microsatellite markers and analysis of intraspecific genetic variability in chickpea (Cicer arietinum L.). Theoretical and Applied Genetics. 112(8). 1416–1428. 118 indexed citations
19.
Rajagopal, Jyothi, et al.. (2000). Evaluation of genetic diversity in the Himalayan poplar using RAPD markers.. Silvae genetica. 49(2). 60–66. 9 indexed citations
20.
Bhatia, Sabhyata & Vicki Shanker. (1994). Cytogenetic characteristics of Munjal sheep. The Indian Journal of Animal Sciences. 64(9).

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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