Raman Babu

6.7k total citations · 1 hit paper
52 papers, 3.9k citations indexed

About

Raman Babu is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Raman Babu has authored 52 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 44 papers in Genetics and 7 papers in Agronomy and Crop Science. Recurrent topics in Raman Babu's work include Genetic Mapping and Diversity in Plants and Animals (44 papers), Genetics and Plant Breeding (36 papers) and Genetic and phenotypic traits in livestock (14 papers). Raman Babu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (44 papers), Genetics and Plant Breeding (36 papers) and Genetic and phenotypic traits in livestock (14 papers). Raman Babu collaborates with scholars based in Mexico, India and United States. Raman Babu's co-authors include Kassa Semagn, Michael Olsen, Sarah Hearne, José Crossa, B. M. Prasanna, Sudha Nair, John M. Hickey, Xuecai Zhang, Yoseph Beyene and Natalia Palacios‐Rojas and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Raman Babu

52 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement

2013 701 citations Kassa Semagn, Raman Babu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raman Babu Mexico	30	3.4k	2.3k	547	395	127	52	3.9k
Gaël Pressoir United States	11	3.5k 1.0×	2.9k 1.2×	699 1.3×	436 1.1×	61 0.5×	16	4.6k
Nepolean Thirunavukkarasu India	28	2.1k 0.6×	756 0.3×	471 0.9×	181 0.5×	222 1.7×	73	2.4k
Punna Ramu United States	21	1.5k 0.5×	955 0.4×	312 0.6×	486 1.2×	46 0.4×	29	2.0k
Sukhwinder Singh India	32	4.1k 1.2×	1.6k 0.7×	685 1.3×	560 1.4×	26 0.2×	120	4.5k
C. Friedrich H. Longin Germany	37	3.7k 1.1×	2.0k 0.8×	484 0.9×	806 2.0×	73 0.6×	108	4.3k
Vincent Segura France	22	1.9k 0.6×	1.1k 0.5×	794 1.5×	122 0.3×	43 0.3×	54	2.7k
Chuanqing Sun China	40	4.3k 1.3×	2.7k 1.1×	1.3k 2.3×	288 0.7×	21 0.2×	107	4.7k
Jizeng Jia China	45	5.4k 1.6×	1.7k 0.7×	1.6k 3.0×	666 1.7×	28 0.2×	141	5.8k
Catherine Howarth United Kingdom	22	1.9k 0.6×	563 0.2×	611 1.1×	411 1.0×	32 0.3×	58	2.3k
I. Vroh Bi Belgium	10	3.1k 0.9×	2.6k 1.1×	797 1.5×	261 0.7×	45 0.4×	14	4.2k

Countries citing papers authored by Raman Babu

Since Specialization

Citations

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

Fields of papers citing papers by Raman Babu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raman Babu

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

Tharanya, Murugesan, Debarati Chakraborty, Raman Babu, et al.. (2025). Utilizing X-ray radiography for non-destructive assessment of paddy rice grain quality traits. Plant Methods. 21(1). 94–94. 1 indexed citations

Kumar, Sushil, et al.. (2023). Identification of genomic regions linked to blast (Pyricularia grisea) resistance in pearl millet. Plant Breeding. 142(4). 506–517. 6 indexed citations

Vinayan, M.T., K. Seetharam, Raman Babu, et al.. (2021). Genome wide association study and genomic prediction for stover quality traits in tropical maize (Zea mays L.). Scientific Reports. 11(1). 686–686. 11 indexed citations

Das, Biswanath, G. N. Atlin, Michael Olsen, et al.. (2019). Identification of donors for low-nitrogen stress with maize lethal necrosis (MLN) tolerance for maize breeding in sub-Saharan Africa. Euphytica. 215(4). 80–80. 24 indexed citations

Yuan, Yibing, Jill E. Cairns, Raman Babu, et al.. (2019). Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize. Frontiers in Plant Science. 9. 1919–1919. 100 indexed citations

Cerrudo, Diego, Shiliang Cao, Yibing Yuan, et al.. (2018). Genomic Selection Outperforms Marker Assisted Selection for Grain Yield and Physiological Traits in a Maize Doubled Haploid Population Across Water Treatments. Frontiers in Plant Science. 9. 366–366. 69 indexed citations

Vemuri, Hindu, Natalia Palacios‐Rojas, Raman Babu, et al.. (2018). Identification and validation of genomic regions influencing kernel zinc and iron in maize. Theoretical and Applied Genetics. 131(7). 1443–1457. 78 indexed citations

Zaidi, P.H., K. Seetharam, L. Krishnamurthy, et al.. (2016). Genomic Regions Associated with Root Traits under Drought Stress in Tropical Maize (Zea mays L.). PLoS ONE. 11(10). e0164340–e0164340. 55 indexed citations

Trachsel, Samuel, Dapeng Sun, Hongjian Zheng, et al.. (2016). Identification of QTL for Early Vigor and Stay-Green Conferring Tolerance to Drought in Two Connected Advanced Backcross Populations in Tropical Maize (Zea mays L.). PLoS ONE. 11(3). e0149636–e0149636. 47 indexed citations

10.

Nair, Sudha, Raman Babu, Cosmos Magorokosho, et al.. (2015). Fine mapping of Msv1, a major QTL for resistance to Maize Streak Virus leads to development of production markers for breeding pipelines. Theoretical and Applied Genetics. 128(9). 1839–1854. 40 indexed citations

11.

Suwarno, Willy Bayuardi, Kevin V. Pixley, Natalia Palacios‐Rojas, Shawn M. Kaeppler, & Raman Babu. (2015). Genome-wide association analysis reveals new targets for carotenoid biofortification in maize. Theoretical and Applied Genetics. 128(5). 851–864. 106 indexed citations

12.

Zaidi, P.H., et al.. (2015). QTL Mapping of Agronomic Waterlogging Tolerance Using Recombinant Inbred Lines Derived from Tropical Maize (Zea mays L) Germplasm. PLoS ONE. 10(4). e0124350–e0124350. 47 indexed citations

13.

Balasubramaniam, Arun, Vinod Kumar Mishra, Gyanendra Pratap Singh, et al.. (2014). Zinc and iron concentration QTL mapped in a Triticum spelta × T. aestivum cross. Theoretical and Applied Genetics. 127(7). 1643–1651. 61 indexed citations

14.

Crossa, José, John M. Hickey, Juan Burgueño, et al.. (2013). Genomic prediction in CIMMYT maize and wheat breeding programs. Heredity. 112(1). 48–60. 295 indexed citations

15.

González‐Camacho, Juan Manuel, G. de los Campos, Daniel Gianola, et al.. (2012). Genome-enabled prediction of genetic values using radial basis function neural networks. Theoretical and Applied Genetics. 125(4). 759–771. 162 indexed citations

16.

Almeida, Gustavo Dias de, Dan Makumbi, Cosmos Magorokosho, et al.. (2012). QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance. Theoretical and Applied Genetics. 126(3). 583–600. 96 indexed citations

17.

Babu, Raman, Chang‐Jie Jiang, Xin Xu, et al.. (2010). Isolation, fine mapping and expression profiling of a lesion mimic genotype, spl NF4050-8 that confers blast resistance in rice. Theoretical and Applied Genetics. 122(4). 831–854. 7 indexed citations

18.

Gupta, H. S., P. K. Agrawal, Vinay Mahajan, et al.. (2009). Quality protein maize for nutritional security: rapid development of short duration hybrids through molecular marker assisted breeding.. Current Science. 96(2). 230–237. 63 indexed citations

19.

Babu, Raman, et al.. (2009). Maize mutant opaque2 and the improvement of protein quality through conventional and molecular approaches.. 172–176. 2 indexed citations

20.

Babu, Raman, Sudha Nair, B. M. Prasanna, & H. S. Gupta. (2004). Integrating marker-assisted selection in crop breeding: Prospects and challenges. Current Science. 87(5). 607–619. 94 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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