G. Uday

481 total citations
19 papers, 276 citations indexed

About

G. Uday is a scholar working on Plant Science, Agronomy and Crop Science and Cell Biology. According to data from OpenAlex, G. Uday has authored 19 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 6 papers in Agronomy and Crop Science and 3 papers in Cell Biology. Recurrent topics in G. Uday's work include Genetics and Plant Breeding (10 papers), Rice Cultivation and Yield Improvement (9 papers) and Crop Yield and Soil Fertility (6 papers). G. Uday is often cited by papers focused on Genetics and Plant Breeding (10 papers), Rice Cultivation and Yield Improvement (9 papers) and Crop Yield and Soil Fertility (6 papers). G. Uday collaborates with scholars based in India and Germany. G. Uday's co-authors include Shailaja Hittalmani, H. B. Mahesh, Meghana Deepak Shirke, Hanamareddy Biradar, H. C. Lohithaswa, Gopalareddy Krishnappa, H. M. Mamrutha, Satish Kumar, Chandra Nath Mishra and Hanif Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and BMC Genomics.

In The Last Decade

G. Uday

14 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Uday India 6 245 94 45 32 32 19 276
Bijendra Singh India 4 243 1.0× 41 0.4× 24 0.5× 50 1.6× 32 1.0× 7 270
Krishna Kishore Gali Canada 12 326 1.3× 54 0.6× 31 0.7× 20 0.6× 29 0.9× 24 352
Paulo Izquierdo United States 8 333 1.4× 58 0.6× 22 0.5× 37 1.2× 15 0.5× 15 348
Chikkappa G. Karjagi India 9 212 0.9× 63 0.7× 65 1.4× 36 1.1× 18 0.6× 39 265
Masanori Muraki Japan 8 296 1.2× 65 0.7× 20 0.4× 25 0.8× 18 0.6× 8 319
Yuhua He China 11 322 1.3× 100 1.1× 66 1.5× 15 0.5× 18 0.6× 32 367
V. da S. Santos Brazil 11 378 1.5× 48 0.5× 33 0.7× 17 0.5× 13 0.4× 45 398
Nnanna Unachukwu Nigeria 10 254 1.0× 64 0.7× 29 0.6× 56 1.8× 15 0.5× 22 282
Carolyn Caron Canada 9 330 1.3× 47 0.5× 46 1.0× 23 0.7× 21 0.7× 11 372
Cecilia Hammenhag Sweden 10 261 1.1× 145 1.5× 29 0.6× 72 2.3× 21 0.7× 30 305

Countries citing papers authored by G. Uday

Since Specialization
Citations

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

Fields of papers citing papers by G. Uday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Uday

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

All Works

19 of 19 papers shown
1.
Uday, G., et al.. (2025). Genetic variability and principal component analysis in durum wheat germplasm for terminal drought stress. The Indian Journal of Agricultural Sciences. 95(5). 522–528.
2.
Uday, G., et al.. (2024). Genetic Evaluation of Advanced Breeding Lines of Rice (Oryza sativa L.) for Grain Yield and Nutrient Characters in Upland Condition. International Journal of Plant & Soil Science. 36(7). 997–1006.
3.
Uday, G., et al.. (2024). Genetic diversity and trait association research in emmer wheat (Triticum dicoccum L.) germplasm lines for moisture stress. Genetic Resources and Crop Evolution. 72(5). 5515–5528. 1 indexed citations
4.
Uday, G., et al.. (2023). First Report of Fusarium poae Causing Head Blight of Wheat in India. Plant Disease. 107(10). 3302–3302. 2 indexed citations
5.
Krishnappa, Gopalareddy, Hanif Khan, Hari Krishna, et al.. (2022). Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study. Scientific Reports. 12(1). 12444–12444. 30 indexed citations
6.
Priyanka, K., et al.. (2022). Molecular Variability of Colletotrichum spp. Associated with Anthracnose of Soybean. Legume Research - An International Journal. 1 indexed citations
7.
Uday, G., et al.. (2022). Marker assisted selection and segregation distortion studies in rice (Oryza sativa). SHILAP Revista de lepidopterología. 92(7). 853–856. 1 indexed citations
8.
Uday, G., et al.. (2021). Molecular detection and characterization of Sclerotium rolfsii Sacc. causing wheat foot rot isolated from northern Karnataka, India. Journal of Plant Pathology. 103(3). 991–995. 1 indexed citations
9.
Krishnappa, Gopalareddy, Siddanna Savadi, Bhudeva Singh Tyagi, et al.. (2021). Integrated genomic selection for rapid improvement of crops. Genomics. 113(3). 1070–1086. 64 indexed citations
10.
Biradar, Suma S., et al.. (2020). Stability Analysis to Study the Effects of Different Date of Sowing on Grain Yield Performance in Wheat (Triticum sp.). International Journal of Current Microbiology and Applied Sciences. 9(5). 2343–2353. 3 indexed citations
11.
Patil, S. B., et al.. (2020). Economics of Hybrid Seed Production as Influenced by Staggered Sowing of Pollen Parent and Nitrogen Application to Seed Parent in Sunflower. International Journal of Current Microbiology and Applied Sciences. 9(12). 1254–1259. 1 indexed citations
12.
Biradar, Suma S., et al.. (2018). Combining Ability of Six Wheat Genotypes and their F1 Diallel Crosses for Nitrogen Use Efficiency (NUE) and Related Traits Under 50 Per Cent Nitrogen Condition. International Journal of Current Microbiology and Applied Sciences. 7(1). 1237–1243. 7 indexed citations
13.
Hittalmani, Shailaja, et al.. (2017). Genetic studies and identification of QTLs for sheath rot disease resistance in rice ( Oryza sativa L.). Indian Journal of Genetics and Plant Breeding (The). 77(4). 485–485. 1 indexed citations
14.
Hittalmani, Shailaja, H. B. Mahesh, Meghana Deepak Shirke, et al.. (2017). Genome and Transcriptome sequence of Finger millet (Eleusine coracana (L.) Gaertn.) provides insights into drought tolerance and nutraceutical properties. BMC Genomics. 18(1). 465–465. 148 indexed citations
15.
16.
Uday, G., et al.. (2015). Intergeneration correlation and narrow-sense heritability between F2 and F3 generations for yield components in green gram [Vigna radiata L. Wilczek].. International Journal of Agricultural Science and Research. 5(4). 357–362.
17.
Uday, G., et al.. (2015). Studies on genetic variability, correlation and path analysis of seed yield and related traits in green gram [Vigna radiata L. Wilczek].. International Journal of Agricultural Science and Research. 5(3). 125–132. 5 indexed citations
18.
Uday, G., et al.. (2014). Association analysis of drought and yield related traits in F2 population of Moroberekan/IR64 rice cross under aerobic condition.. International Journal of Agricultural Science and Research. 4(2). 99–106. 10 indexed citations
19.
Uday, G., et al.. (2014). Identification of drought tolerant and high yielding F2 genotypes of rice under aerobic condition. ORYZA- An International Journal on Rice. 51(4). 273–278. 1 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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