Saurabh Badoni

1.4k total citations
31 papers, 1.0k citations indexed

About

Saurabh Badoni is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Saurabh Badoni has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 10 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Saurabh Badoni's work include Genetic and Environmental Crop Studies (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Agricultural pest management studies (10 papers). Saurabh Badoni is often cited by papers focused on Genetic and Environmental Crop Studies (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Agricultural pest management studies (10 papers). Saurabh Badoni collaborates with scholars based in India, Philippines and Germany. Saurabh Badoni's co-authors include Swarup K. Parida, Akhilesh K. Tyagi, Deepak Bajaj, Shouvik Das, Vinod Kumar, Hari D. Upadhyaya, Shailesh Tripathi, Shivali Sharma, Alice Kujur and Nese Sreenivasulu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Saurabh Badoni

29 papers receiving 1.0k citations

Peers

Saurabh Badoni

GENET

EEBS

N. Shobha Rani India

Gopal Misra Philippines

Maoqun Yu China

Guangbing Deng China

Sok‐Young Lee South Korea

F. Jodari United States

Sabiha Parween Philippines

Osamu Kamijima Japan

Josef Fisher Israel

N. Shobha Rani India

Saurabh Badoni

1.0k ×1.1

313 ×1.1

GENET

145 ×0.9

86 ×0.9

22 ×0.3

EEBS

Citations per year, relative to Saurabh Badoni Saurabh Badoni (= 1×) peers N. Shobha Rani

Countries citing papers authored by Saurabh Badoni

Since Specialization

Citations

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

Fields of papers citing papers by Saurabh Badoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saurabh Badoni

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

Badoni, Saurabh, Sung‐Ryul Kim, Rhowell N. Tiozon, et al.. (2024). Multiomics of a rice population identifies genes and genomic regions that bestow low glycemic index and high protein content. Proceedings of the National Academy of Sciences. 121(36). e2410598121–e2410598121. 14 indexed citations

Badoni, Saurabh, Sabiha Parween, Robert J Henry, & Nese Sreenivasulu. (2022). Systems seed biology to understand and manipulate rice grain quality and nutrition. Critical Reviews in Biotechnology. 43(5). 716–733. 5 indexed citations

Brotman, Yariv, Saurabh Badoni, Gopal Misra, et al.. (2021). The genetics underlying metabolic signatures in a brown rice diversity panel and their vital role in human nutrition. The Plant Journal. 106(2). 507–525. 28 indexed citations

Badoni, Saurabh, Gopal Misra, Roslen Anacleto, et al.. (2021). OsTPR boosts the superior grains through increase in upper secondary rachis branches without incurring a grain quality penalty. Plant Biotechnology Journal. 19(7). 1396–1411. 14 indexed citations

Misra, Gopal, Saurabh Badoni, Sabiha Parween, et al.. (2020). Genome‐wide association coupled gene to gene interaction studies unveil novel epistatic targets among major effect loci impacting rice grain chalkiness. Plant Biotechnology Journal. 19(5). 910–925. 33 indexed citations

Misra, Gopal, Roslen Anacleto, Saurabh Badoni, et al.. (2019). Dissecting the genome-wide genetic variants of milling and appearance quality traits in rice. Journal of Experimental Botany. 70(19). 5115–5130. 36 indexed citations

Anacleto, Roslen, Saurabh Badoni, Sabiha Parween, et al.. (2018). Integrating a genome‐wide association study with a large‐scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice. Plant Biotechnology Journal. 17(7). 1261–1275. 57 indexed citations

Misra, Gopal, Saurabh Badoni, Roslen Anacleto, et al.. (2017). Whole genome sequencing-based association study to unravel genetic architecture of cooked grain width and length traits in rice. Scientific Reports. 7(1). 12478–12478. 43 indexed citations

Singh, Anupama, Jai Prakash Jaiswal, & Saurabh Badoni. (2017). Enhancing rust resistance in wheat through marker assisted backcross breeding. Indian Journal of Genetics and Plant Breeding (The). 78(1). 19–19. 6 indexed citations

10.

Daware, Anurag, Sweta Das, Rishi Srivastava, et al.. (2016). An Efficient Strategy Combining SSR Markers- and Advanced QTL-seq-driven QTL Mapping Unravels Candidate Genes Regulating Grain Weight in Rice. Frontiers in Plant Science. 7. 1535–1535. 19 indexed citations

11.

Badoni, Saurabh, Sweta Das, S. Gopala Krishnan, et al.. (2016). Genome-wide generation and use of informative intron-spanning and intron-length polymorphism markers for high-throughput genetic analysis in rice. Scientific Reports. 6(1). 23765–23765. 20 indexed citations

12.

Bajaj, Deepak, Hari D. Upadhyaya, Yusuf Khan, et al.. (2015). A combinatorial approach of comprehensive QTL-based comparative genome mapping and transcript profiling identified a seed weight-regulating candidate gene in chickpea. Scientific Reports. 5(1). 9264–9264. 59 indexed citations

13.

Kujur, Alice, Hari D. Upadhyaya, Deepak Bajaj, et al.. (2015). Ultra-high density intra-specific genetic linkage maps accelerate identification of functionally relevant molecular tags governing important agronomic traits in chickpea. Scientific Reports. 5(1). 9468–9468. 66 indexed citations

14.

Kujur, Alice, Deepak Bajaj, Hari D. Upadhyaya, et al.. (2015). Employing genome-wide SNP discovery and genotyping strategy to extrapolate the natural allelic diversity and domestication patterns in chickpea. Frontiers in Plant Science. 6. 162–162. 90 indexed citations

15.

Upadhyaya, Hari D., Deepak Bajaj, Shouvik Das, et al.. (2015). A genome-scale integrated approach aids in genetic dissection of complex flowering time trait in chickpea. Plant Molecular Biology. 89(4-5). 403–420. 54 indexed citations

16.

Saxena, Maneesha S., Deepak Bajaj, Alice Kujur, et al.. (2014). Natural Allelic Diversity, Genetic Structure and Linkage Disequilibrium Pattern in Wild Chickpea. PLoS ONE. 9(9). e107484–e107484. 51 indexed citations

17.

Negi, Yuvraj Singh, et al.. (1992). Biochemical investigation of fruits of some common Ficus species. LWT. 25(6). 582–584. 15 indexed citations

18.

Badoni, Saurabh, et al.. (1990). Carving behaviour of some Indian timbers - a quantitative approach.. Journal of the Indian Academy of Wood Science. 21(2). 27–32. 1 indexed citations

19.

Badoni, Saurabh, et al.. (1990). Preliminary studies on ammonia fuming of some Indian timbers.. 36(2). 24–30. 1 indexed citations

20.

Badoni, Saurabh, et al.. (1989). Working Qualities of Indian Timbers-Part VIII. Indian Forester. 115(9). 644–660. 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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