Wricha Tyagi

1.2k total citations
36 papers, 834 citations indexed

About

Wricha Tyagi is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Wricha Tyagi has authored 36 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 7 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Wricha Tyagi's work include Rice Cultivation and Yield Improvement (12 papers), Plant Micronutrient Interactions and Effects (11 papers) and Plant nutrient uptake and metabolism (9 papers). Wricha Tyagi is often cited by papers focused on Rice Cultivation and Yield Improvement (12 papers), Plant Micronutrient Interactions and Effects (11 papers) and Plant nutrient uptake and metabolism (9 papers). Wricha Tyagi collaborates with scholars based in India, United States and Italy. Wricha Tyagi's co-authors include Mayank Rai, Susan R. McCouch, Sudhir K. Sopory, Jennifer Kimball, Chih‐Wei Tung, Georgia C. Eizenga, Carlos D. Bustamante, Sneh L. Singla‐Pareek, Md Liakat Ali and Andy Reynolds and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Biochemistry.

In The Last Decade

Wricha Tyagi

35 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wricha Tyagi India 15 721 275 197 79 75 36 834
Pankaj Bhardwaj India 14 316 0.4× 151 0.5× 255 1.3× 57 0.7× 51 0.7× 41 578
Haijian Lin China 24 1.2k 1.6× 291 1.1× 456 2.3× 96 1.2× 11 0.1× 56 1.3k
Wenbang Tang China 17 608 0.8× 141 0.5× 174 0.9× 99 1.3× 17 0.2× 53 744
Gaoneng Shao China 11 378 0.5× 64 0.2× 182 0.9× 73 0.9× 115 1.5× 32 554
Ariano Martins de Magalhães Júnior Brazil 13 432 0.6× 58 0.2× 76 0.4× 37 0.5× 26 0.3× 64 499
Sílvia Barcellos Rosa Canada 7 712 1.0× 35 0.1× 245 1.2× 39 0.5× 34 0.5× 13 829
Jae‐Ryoung Park South Korea 15 511 0.7× 75 0.3× 202 1.0× 17 0.2× 31 0.4× 57 645
Amin Elsadig Eltayeb Japan 12 869 1.2× 59 0.2× 310 1.6× 16 0.2× 22 0.3× 20 936
Zahra‐Sadat Shobbar Iran 17 652 0.9× 81 0.3× 300 1.5× 17 0.2× 17 0.2× 33 750
Sana Choudhary India 9 373 0.5× 81 0.3× 107 0.5× 31 0.4× 10 0.1× 26 458

Countries citing papers authored by Wricha Tyagi

Since Specialization
Citations

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

Fields of papers citing papers by Wricha Tyagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wricha Tyagi

This figure shows the co-authorship network connecting the top 25 collaborators of Wricha Tyagi. A scholar is included among the top collaborators of Wricha Tyagi 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 Wricha Tyagi. Wricha Tyagi 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
1.
2.
Rai, Mayank & Wricha Tyagi. (2022). Haplotype breeding for unlocking and utilizing plant genomics data. Frontiers in Genetics. 13. 1006288–1006288. 6 indexed citations
3.
Rai, Mayank, et al.. (2021). A 1.84-Mb region on rice chromosome 2 carrying SPL4, SPL5 and MLO8 genes is associated with higher yield under phosphorus-deficient acidic soil. Journal of Applied Genetics. 62(2). 207–222. 4 indexed citations
4.
Debnath, Animesh, Mayank Rai, & Wricha Tyagi. (2021). Identification of Swarna x O. nivara (RPBio4918) advanced backcross lines performing well under acidic soil conditions. Journal of Environmental Biology. 42(2). 240–246. 2 indexed citations
5.
Tyagi, Wricha, et al.. (2020). Physico-chemical characteristics and nutritional quality analysis of aromatic rice (Oryza sativa L.) genotypes. Indian Journal of Genetics and Plant Breeding (The). 79(4). 1 indexed citations
6.
7.
Rai, Mayank, et al.. (2020). In silico characterization, and expression analysis of rice golden 2-like (OsGLK) members in response to low phosphorous. Molecular Biology Reports. 47(4). 2529–2549. 9 indexed citations
8.
Tyagi, Wricha, et al.. (2018). Marker–trait association for low-light intensity tolerance in rice genotypes from Eastern India. Molecular Genetics and Genomics. 293(6). 1493–1506. 17 indexed citations
9.
Rai, Mayank, et al.. (2017). Genetic Analysis of Yield Contributing Traits in Lowland Rice Genotypes under Acidic Soils. International Journal of Bio-resource and Stress Management. 8(6). 740–748. 1 indexed citations
10.
Tyagi, Wricha, et al.. (2017). Identification of Potential Genotype Influencing Stress Tolerance to Fe Toxicity and P Deficiency under Low Land Acidic Soils Condition of North Eastern Rice, “Shasarang”. International Journal of Bio-resource and Stress Management. 8(6). 838–845. 1 indexed citations
11.
Kim, Joonki, Hye‐Jung Lee, Yu‐Jin Jung, et al.. (2017). Functional properties of an alternative, tissue-specific promoter for rice NADPH-dependent dihydroflavonol reductase. PLoS ONE. 12(8). e0183722–e0183722. 9 indexed citations
12.
Kim, Hyun-Jung, Janelle Jung, Namrata Singh, et al.. (2016). Population Dynamics Among six Major Groups of the Oryza rufipogon Species Complex, Wild Relative of Cultivated Asian Rice. Rice. 9(1). 17–17. 44 indexed citations
13.
Tyagi, Wricha & Mayank Rai. (2016). Root transcriptomes of two acidic soil adapted Indica rice genotypes suggest diverse and complex mechanism of low phosphorus tolerance. PROTOPLASMA. 254(2). 725–736. 14 indexed citations
14.
Rai, Mayank, et al.. (2016). Seedling stage low temperature response in tolerant and susceptible rice genotypes suggests role of relative water content and members of OsSNAC gene family. Plant Signaling & Behavior. 11(5). e1138192–e1138192. 11 indexed citations
15.
Rai, Mayank, et al.. (2015). Allele mining across DREB1A and DREB1B in diverse rice genotypes suggest a highly conserved pathway inducible by low temperature. Journal of Genetics. 94(2). 231–238. 17 indexed citations
16.
Tyagi, Wricha, et al.. (2014). Assessment of genetic diversity in pea ( Pisum sativum L.) using morphological and molecular markers. Indian Journal of Genetics and Plant Breeding (The). 74(2). 205–205. 8 indexed citations
17.
Rai, Mayank, et al.. (2014). Looking beyond PsTOL1: marker development for two novel rice genes showing differential expression in P deficient conditions. Journal of Genetics. 93(2). 573–577. 6 indexed citations
18.
Tyagi, Wricha, et al.. (2012). Haplotype analysis for locus in rice genotypes of North Eastern and Eastern India to identify suitable donors tolerant to low phosphorus.. SABRAO Journal of Breeding and Genetics. 44(2). 398–405. 9 indexed citations
19.
Tyagi, Wricha, et al.. (2006). A novel isoform of ATPase c subunit from pearl millet that is differentially regulated in response to salinity and calcium. Plant Cell Reports. 25(2). 156–163. 9 indexed citations
20.
Pandey, Sona, et al.. (2002). A Ca2+/CaM‐dependent kinase from pea is stress regulated andin vitrophosphorylates a protein that binds toAtCaM5promoter. European Journal of Biochemistry. 269(13). 3193–3204. 32 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Pankaj Bhardwaj Breakdown of academic impact, for papers by Haijian Lin Breakdown of academic impact, for papers by Wenbang Tang Breakdown of academic impact, for papers by Gaoneng Shao Breakdown of academic impact, for papers by Ariano Martins de Magalhães Júnior Breakdown of academic impact, for papers by Sílvia Barcellos Rosa Breakdown of academic impact, for papers by Jae‐Ryoung Park Breakdown of academic impact, for papers by Amin Elsadig Eltayeb Breakdown of academic impact, for papers by Zahra‐Sadat Shobbar Breakdown of academic impact, for papers by Sana Choudhary
Rankless by CCL
2026