C. N. Neeraja

3.0k total citations
72 papers, 1.9k citations indexed

About

C. N. Neeraja is a scholar working on Plant Science, Genetics and Soil Science. According to data from OpenAlex, C. N. Neeraja has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Plant Science, 27 papers in Genetics and 8 papers in Soil Science. Recurrent topics in C. N. Neeraja's work include Rice Cultivation and Yield Improvement (40 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers) and GABA and Rice Research (17 papers). C. N. Neeraja is often cited by papers focused on Rice Cultivation and Yield Improvement (40 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers) and GABA and Rice Research (17 papers). C. N. Neeraja collaborates with scholars based in India, Philippines and United States. C. N. Neeraja's co-authors include Sigrid Heuer, D. J. Mackill, Darlene L. Sanchez, Abdelbagi M. Ismail, Endang M. Septiningsih, Alvaro M. Pamplona, R. M. Sundaram, Georgina V. Vergara, S. M. Balachandran and N. Shobha Rani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

C. N. Neeraja

72 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. N. Neeraja India 22 1.8k 610 244 110 96 72 1.9k
Sushil Kumar India 20 1.0k 0.6× 267 0.4× 222 0.9× 57 0.5× 73 0.8× 78 1.2k
Joong Hyoun Chin South Korea 20 1.8k 1.0× 783 1.3× 265 1.1× 83 0.8× 52 0.5× 74 2.0k
M.A. Pagnotta Italy 22 1.2k 0.7× 370 0.6× 253 1.0× 107 1.0× 25 0.3× 70 1.5k
A. Sarrafi France 25 1.8k 1.0× 329 0.5× 541 2.2× 71 0.6× 46 0.5× 101 1.9k
Rüştü Hatipoğlu Türkiye 16 1.0k 0.6× 341 0.6× 257 1.1× 51 0.5× 25 0.3× 67 1.3k
Prakit Somta Thailand 32 2.5k 1.4× 172 0.3× 321 1.3× 63 0.6× 31 0.3× 127 2.6k
Nebahat Sarı Türkiye 22 1.3k 0.7× 422 0.7× 267 1.1× 38 0.3× 204 2.1× 103 1.5k
Ndiaga Cissé Senegal 28 2.1k 1.2× 248 0.4× 348 1.4× 41 0.4× 86 0.9× 81 2.3k
Mani Vetriventhan India 17 1.0k 0.6× 368 0.6× 168 0.7× 134 1.2× 41 0.4× 44 1.4k
Salej Sood India 20 1.2k 0.7× 325 0.5× 255 1.0× 236 2.1× 40 0.4× 100 1.5k

Countries citing papers authored by C. N. Neeraja

Since Specialization
Citations

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

Fields of papers citing papers by C. N. Neeraja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. N. Neeraja. 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 C. N. Neeraja. The network helps show where C. N. Neeraja may publish in the future.

Co-authorship network of co-authors of C. N. Neeraja

This figure shows the co-authorship network connecting the top 25 collaborators of C. N. Neeraja. A scholar is included among the top collaborators of C. N. Neeraja 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 C. N. Neeraja. C. N. Neeraja 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.
Solanki, Manish, V. Prakasam, C. N. Neeraja, et al.. (2024). Identification and expression analysis of long non-coding RNAs of rice induced during interaction with Rhizoctonia solani. Physiological and Molecular Plant Pathology. 134. 102389–102389. 1 indexed citations
2.
Hossain, Firoz, Rajkumar U. Zunjare, Brijesh K. Mehta, et al.. (2024). Maize genotypes with favourable dgat1–2 and fatb alleles possess stable high kernel oil and better fatty acid health and nutritive indices. International Journal of Biological Macromolecules. 278(Pt 3). 134848–134848. 4 indexed citations
3.
Neeraja, C. N., G. Padmavathi, K. N. Yamini, et al.. (2024). Understanding the nature of blast resistance in combined bacterial leaf blight and blast gene pyramided lines of rice variety tellahamsa. Molecular Biology Reports. 51(1). 619–619. 3 indexed citations
4.
Rathod, Santosha, et al.. (2023). Characterization of heterogeneity in popular rice landrace through field and molecular evaluation. Field Crops Research. 304. 109181–109181. 2 indexed citations
5.
Hossain, Firoz, Vignesh Muthusamy, Rajkumar U. Zunjare, et al.. (2021). Development of sub-tropically adapted diverse provitamin-A rich maize inbreds through marker-assisted pedigree selection, their characterization and utilization in hybrid breeding. PLoS ONE. 16(2). e0245497–e0245497. 28 indexed citations
6.
Azam, Mostafa M., et al.. (2021). Effect of different cooking methods on loss of iron and zinc micronutrients in fortified and non-fortified rice. Saudi Journal of Biological Sciences. 28(5). 2886–2894. 15 indexed citations
7.
Neeraja, C. N., C. Gireesh, M. S. Anantha, et al.. (2021). Grain Fe and Zn content, heterosis, combining ability and its association with grain yield in irrigated and aerobic rice. Scientific Reports. 11(1). 10579–10579. 20 indexed citations
8.
9.
Neeraja, C. N., et al.. (2020). Genetic studies for yield and nutritional traits in unpolished rice RILs of MTU1010 x BR2655. Indian Journal of Genetics and Plant Breeding (The). 80(3). 2 indexed citations
10.
Fiyaz, R. Abdul, et al.. (2020). Assessment of genetic variability for micronutrient content and agro-morphological traits in rice (Oryza sativa L.). Indian Journal of Genetics and Plant Breeding (The). 80(2). 3 indexed citations
11.
Neeraja, C. N., et al.. (2019). Breeding rice for nitrogen use efficiency. Indian Journal of Genetics and Plant Breeding (The). 79(01S). 5 indexed citations
12.
Neeraja, C. N., et al.. (2019). Studies on Character Association and Path Coefficient Analysis for Anaerobic Germination Traits, Yield and its Contributing Characters in Rice (Oryza sativa L.). International Journal of Current Microbiology and Applied Sciences. 8(4). 355–362. 4 indexed citations
13.
Neeraja, C. N., D. Subrahmanyam, K M Rajesh, et al.. (2018). Identification of rice landraces with promising yield and the associated genomic regions under low nitrogen. Scientific Reports. 8(1). 9200–9200. 29 indexed citations
14.
Fiyaz, R. Abdul, et al.. (2017). Evaluation of Grain Yield, Quality and Nutrients Content in Four Rice (Oryza sativa L.) Genotypes. Current Journal of Applied Science and Technology. 22(1). 1–12. 5 indexed citations
15.
Neeraja, C. N., et al.. (2012). Population Structure and Genetic Diversity in Popular Rice Varieties of India as Evidenced from SSR Analysis. Biochemical Genetics. 50(9-10). 770–783. 26 indexed citations
16.
Laha, G. S., Bhartendu Nath Mishra, B. C. Viraktamath, et al.. (2011). Inheritance of bacterial blight resistance in the rice cultivar Ajaya and high-resolution mapping of a major QTL associated with resistance. Genetics Research. 93(6). 397–408. 6 indexed citations
17.
Ramkumar, G., Akshaya Kumar Biswal, A. K. P. Sivaranjani, et al.. (2010). Identifying novel alleles of rice blast resistance genes Pikh and Pita through allele mining. 9 indexed citations
18.
19.
Sakthivel, K., R. M. Sundaram, N. Shobha Rani, S. M. Balachandran, & C. N. Neeraja. (2009). Genetic and molecular basis of fragrance in rice. Biotechnology Advances. 27(4). 468–473. 96 indexed citations
20.
Septiningsih, Endang M., Alvaro M. Pamplona, Darlene L. Sanchez, et al.. (2008). The Sub1 Gene and its Implications in Developing Submergence-Tolerant Rice Cultivars. 177–178. 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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