Challa Venkateshwarlu

761 total citations
17 papers, 348 citations indexed

About

Challa Venkateshwarlu is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Challa Venkateshwarlu has authored 17 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 9 papers in Genetics and 2 papers in Agronomy and Crop Science. Recurrent topics in Challa Venkateshwarlu's work include Rice Cultivation and Yield Improvement (17 papers), GABA and Rice Research (10 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Challa Venkateshwarlu is often cited by papers focused on Rice Cultivation and Yield Improvement (17 papers), GABA and Rice Research (10 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Challa Venkateshwarlu collaborates with scholars based in India, Philippines and Nepal. Challa Venkateshwarlu's co-authors include Arvind Kumar, Nitika Sandhu, Shailesh Yadav, Uma Maheshwar Singh, Shalabh Dixit, Vikas Kumar Singh, B. P. Mallikarjuna Swamy, Margaret Catolos, K. Anitha Raman and Prashant Vikram and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Challa Venkateshwarlu

17 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Challa Venkateshwarlu India 11 334 106 43 28 20 17 348
J.L. Dwivedi India 5 263 0.8× 71 0.7× 34 0.8× 31 1.1× 13 0.7× 13 275
N. Zoumarou-Wallis Benin 4 263 0.8× 64 0.6× 56 1.3× 10 0.4× 18 0.9× 11 290
Huma Bahri Tunisia 3 321 1.0× 104 1.0× 65 1.5× 11 0.4× 21 1.1× 6 332
A. K. Sarial India 9 410 1.2× 180 1.7× 78 1.8× 10 0.4× 37 1.9× 23 429
S. Ganesh India 6 440 1.3× 179 1.7× 40 0.9× 20 0.7× 32 1.6× 38 466
Amadou Tidiane Sall Senegal 6 297 0.9× 110 1.0× 71 1.7× 12 0.4× 18 0.9× 9 318
Alok Kumar Singh India 6 345 1.0× 149 1.4× 19 0.4× 13 0.5× 16 0.8× 20 371
P. G. S. Melo Brazil 13 468 1.4× 53 0.5× 75 1.7× 23 0.8× 20 1.0× 49 478
V.P. Singh India 5 283 0.8× 109 1.0× 29 0.7× 24 0.9× 47 2.4× 5 317

Countries citing papers authored by Challa Venkateshwarlu

Since Specialization
Citations

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

Fields of papers citing papers by Challa Venkateshwarlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Challa Venkateshwarlu

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

All Works

17 of 17 papers shown
1.
Venkateshwarlu, Challa, Paresh Chandra Kole, Arun Kumar Singh, et al.. (2025). Mapping genomic regions for reproductive stage drought tolerance in rice from exotic landrace-derived population. Frontiers in Plant Science. 15. 1495241–1495241. 1 indexed citations
2.
Venkateshwarlu, Challa, Uma Maheshwar Singh, Sanjay Kalia, et al.. (2024). Superior haplotypes of key drought-responsive genes reveal opportunities for the development of climate-resilient rice varieties. Communications Biology. 7(1). 89–89. 14 indexed citations
3.
Kumar, Ajay, Challa Venkateshwarlu, Sanjay Kalia, et al.. (2023). Extreme trait GWAS (Et-GWAS): Unraveling rare variants in the 3,000 rice genome. Life Science Alliance. 7(3). e202302352–e202302352. 4 indexed citations
4.
Venkateshwarlu, Challa, et al.. (2022). Capturing Genetic Variability and Identification of Promising Drought-Tolerant Lines in Exotic Landrace Derived Population Under Reproductive Drought Stress in Rice. Frontiers in Plant Science. 13. 814774–814774. 9 indexed citations
5.
Singh, Uma Maheshwar, Shilpi Dixit, Shamshad Alam, et al.. (2021). Marker‐assisted forward breeding to develop a drought‐, bacterial‐leaf‐blight‐, and blast‐resistant rice cultivar. The Plant Genome. 15(1). e20170–e20170. 18 indexed citations
6.
Singh, Uma Maheshwar, Shamshad Alam, Challa Venkateshwarlu, et al.. (2021). Marker-assisted forward and backcross breeding for improvement of elite Indian rice variety Naveen for multiple biotic and abiotic stress tolerance. PLoS ONE. 16(9). e0256721–e0256721. 23 indexed citations
7.
Abbai, Ragavendran, Abhinav Jain, Shilpi Dixit, et al.. (2020). More and more of less and less: Is genomics‐based breeding of dry direct‐seeded rice (DDSR) varieties the need of hour?. Plant Biotechnology Journal. 18(11). 2173–2186. 28 indexed citations
9.
Singh, Uma Maheshwar, Pallavi Sinha, Shilpi Dixit, et al.. (2020). Unraveling candidate genomic regions responsible for delayed leaf senescence in rice. PLoS ONE. 15(10). e0240591–e0240591. 3 indexed citations
10.
Raman, Anitha, Challa Venkateshwarlu, Suresh Prasad Singh, et al.. (2020). Genotype × environment interactions for grain iron and zinc content in rice. Journal of the Science of Food and Agriculture. 100(11). 4150–4164. 25 indexed citations
11.
Sandhu, Nitika, Ram Baran Yadaw, K. M. Iftekharuddaula, et al.. (2019). Evaluating the Performance of Rice Genotypes for Improving Yield and Adaptability Under Direct Seeded Aerobic Cultivation Conditions. Frontiers in Plant Science. 10. 159–159. 22 indexed citations
12.
Venkateshwarlu, Challa & Paresh Chandra Kole. (2019). Parental evaluation and polymorphism survey of drought contrasting donor and recurrent parents in rice (Oryza sativa. L) using microsatellite markers. SHILAP Revista de lepidopterología. 10(2). 406–406. 4 indexed citations
13.
Grondin, Alexandre, Shalabh Dixit, Rolando O. Torres, et al.. (2018). Physiological mechanisms contributing to the QTL qDTY3.2 effects on improved performance of rice Moroberekan x Swarna BC2F3:4 lines under drought. Rice. 11(1). 43–43. 28 indexed citations
14.
Sandhu, Nitika, Shalabh Dixit, B. P. Mallikarjuna Swamy, et al.. (2018). Positive interactions of major-effect QTLs with genetic background that enhances rice yield under drought. Scientific Reports. 8(1). 1626–1626. 52 indexed citations
15.
Yadav, Shailesh, Uma Maheshwar Singh, Challa Venkateshwarlu, et al.. (2017). Molecular Mapping of QTLs Associated with Lodging Resistance in Dry Direct-Seeded Rice (Oryza sativa L.). Frontiers in Plant Science. 8. 1431–1431. 45 indexed citations
16.
Sandhu, Nitika, Ram Baran Yadaw, K. M. Iftekharuddaula, et al.. (2017). Root Traits Enhancing Rice Grain Yield under Alternate Wetting and Drying Condition. Frontiers in Plant Science. 8. 1879–1879. 43 indexed citations
17.
Jaiswal, H. K., et al.. (2015). Variability, heritability and genetic advance studies in some indigenous genotypes of basmati rice (Oryza sativa L.).. Electronic Journal of Plant Breeding. 6(2). 506–511. 8 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

Rankless by CCL
2026