R. K. Raheja

623 total citations · 1 hit paper
20 papers, 557 citations indexed

About

R. K. Raheja is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, R. K. Raheja has authored 20 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 8 papers in Molecular Biology and 4 papers in Biochemistry. Recurrent topics in R. K. Raheja's work include Lipid metabolism and biosynthesis (4 papers), Peanut Plant Research Studies (3 papers) and Nitrogen and Sulfur Effects on Brassica (3 papers). R. K. Raheja is often cited by papers focused on Lipid metabolism and biosynthesis (4 papers), Peanut Plant Research Studies (3 papers) and Nitrogen and Sulfur Effects on Brassica (3 papers). R. K. Raheja collaborates with scholars based in India and United Arab Emirates. R. K. Raheja's co-authors include I. S. Bhatia, Ajit Singh, Charanjit Kaur, K. S. Labana, D. S. Chahal, Manmohan Singh, S. P. Ahuja, Mehak Gupta, P. S. Sukhija and Devinder Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Lipid Research and Journal of the Science of Food and Agriculture.

In The Last Decade

R. K. Raheja

19 papers receiving 487 citations

Hit Papers

New colorimetric method f... 1973 2026 1990 2008 1973 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. K. Raheja India 8 232 138 106 105 75 20 557
Ajit Singh India 5 187 0.8× 136 1.0× 92 0.9× 42 0.4× 75 1.0× 13 464
B. L. Walker Canada 13 284 1.2× 155 1.1× 98 0.9× 60 0.6× 45 0.6× 32 563
Grace Gavino Canada 12 210 0.9× 314 2.3× 175 1.7× 74 0.7× 55 0.7× 15 681
Ryoko Noguchi Japan 9 177 0.8× 204 1.5× 78 0.7× 36 0.3× 69 0.9× 11 497
Nabil el Jaber-Vazdekis Spain 8 207 0.9× 170 1.2× 78 0.7× 65 0.6× 33 0.4× 8 542
Leo Friedman United States 15 222 1.0× 165 1.2× 45 0.4× 137 1.3× 51 0.7× 45 855
Richard K. Creveling United States 16 179 0.8× 121 0.9× 59 0.6× 149 1.4× 26 0.3× 21 559
John L Iverson United States 11 195 0.8× 161 1.2× 54 0.5× 56 0.5× 29 0.4× 27 532
A. C. Fogerty Australia 13 145 0.6× 110 0.8× 122 1.2× 37 0.4× 26 0.3× 20 416
Paul‐André Finot Switzerland 12 152 0.7× 129 0.9× 36 0.3× 61 0.6× 19 0.3× 15 509

Countries citing papers authored by R. K. Raheja

Since Specialization
Citations

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

Fields of papers citing papers by R. K. Raheja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. K. Raheja. 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 R. K. Raheja. The network helps show where R. K. Raheja may publish in the future.

Co-authorship network of co-authors of R. K. Raheja

This figure shows the co-authorship network connecting the top 25 collaborators of R. K. Raheja. A scholar is included among the top collaborators of R. K. Raheja 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 R. K. Raheja. R. K. Raheja 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.
Raheja, R. K., et al.. (2024). Antecedents For the Adoption of Telemedicine in India: Scale development and validation. SHILAP Revista de lepidopterología. 19(3). 1 indexed citations
2.
Singh, Devinder, et al.. (2002). Heterosis for Fatty Acid Composition over Environments in Sunflower (Helianthus Annuus L). Journal of research. 39(1). 1–5. 5 indexed citations
3.
Bhat, M. Ashraf, et al.. (2002). Erucic acid heredity in Brassica juncea ‐ some additional information. Plant Breeding. 121(5). 456–458. 10 indexed citations
4.
Gupta, M. L., et al.. (1998). Biochemical traits in relation to white rust resistance in Indian mustard (B. juncea L. Coss).. Crop improvement. 25(1). 48–52. 2 indexed citations
5.
Gupta, M. L., et al.. (1997). Chlorophyll content in relation to white rust (Albugo candida) resistance in Indian mustard.. 105–106. 3 indexed citations
6.
Raheja, R. K., et al.. (1995). Lipid Composition of the Seed Gall Nematode, Anguina Tritici. Nematologica. 41(1-4). 584–591. 8 indexed citations
7.
Raheja, R. K., et al.. (1993). Path analysis of oil yield in sunflower (Helianthus annuus L.) hybrids. Indian Journal of Genetics and Plant Breeding (The). 53(4). 387–390. 2 indexed citations
8.
Raheja, R. K., et al.. (1992). Biochemical basis of resistance to whitefly Bemisia tabaci Genn. (Aleyrodidae: Hemiptera) in cotton.. Tropical Agriculture. 69(2). 119–122. 19 indexed citations
9.
Kaur, Gurpreet, et al.. (1991). Biochemical Changes in Soybean (Glycine max L.) Cultivars Infected with Yellow Mosaic Virus. Biochemie und Physiologie der Pflanzen. 187(5). 357–371. 2 indexed citations
10.
Singh, Gurpinder, et al.. (1990). Yield improvement in soybean by foliar application of some commercial growth regulators.. 34(2). 79–82. 1 indexed citations
11.
Kaur, Gurpreet, et al.. (1989). Physico-chemical Changes Associated with Peanut Clump Virus in Arachis hypogaea L.. Biochemie und Physiologie der Pflanzen. 185(3-4). 269–276. 3 indexed citations
12.
Raheja, R. K., et al.. (1989). Oil content and fatty acid composition of promising IndianBrassica campestris L. (Toria) genotypes. Plant Foods for Human Nutrition. 39(2). 155–160. 7 indexed citations
13.
Raheja, R. K., et al.. (1987). Comparison of oil content and fatty acid composition of peanut genotypes differing in growth habit. Plant Foods for Human Nutrition. 37(2). 103–108. 20 indexed citations
14.
Raheja, R. K., et al.. (1987). The oil content and fatty acid composition of various genotypes of cauliflower, turnip and radish. Plant Foods for Human Nutrition. 37(1). 33–40. 9 indexed citations
15.
Gupta, B. K. & R. K. Raheja. (1986). Lipid Mineral and Other Nutritional Components of Subabul (Leucaena Leucocephala) Seeds. Indian Journal of Animal Nutrition. 3(4). 233–237. 1 indexed citations
16.
Malik, C. P., et al.. (1986). Phenolic acid effects on peanut growth and oil production. Plant Growth Regulation. 4(2). 159–168. 3 indexed citations
17.
Sukhija, P. S., et al.. (1976). Polar Lipids of Spinach (Spinacia oleracea) Roots. Physiologia Plantarum. 38(3). 221–223. 4 indexed citations
18.
Bhatia, I. S., R. K. Raheja, & P. S. Sukhija. (1973). Fungal lipids. II. Effects of Varying Concentration of Nitrogen in the Medium and Incubation Period on the Chemical Composition of Lipids of Pythium irregulare Buisman. Journal of the Science of Food and Agriculture. 24(7). 779–787. 4 indexed citations
19.
Raheja, R. K., Charanjit Kaur, Ajit Singh, & I. S. Bhatia. (1973). New colorimetric method for the quantitative estimation of phospholipids without acid digestion. Journal of Lipid Research. 14(6). 695–697. 434 indexed citations breakdown →
20.
Bhatia, I. S., R. K. Raheja, & D. S. Chahal. (1972). Fungal lipids. I. Effect of different nitrogen sources on the chemical composition. Journal of the Science of Food and Agriculture. 23(10). 1197–1205. 19 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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