R. Gnanam

595 total citations
57 papers, 428 citations indexed

About

R. Gnanam is a scholar working on Plant Science, Molecular Biology and Complementary and alternative medicine. According to data from OpenAlex, R. Gnanam has authored 57 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 29 papers in Molecular Biology and 6 papers in Complementary and alternative medicine. Recurrent topics in R. Gnanam's work include Plant tissue culture and regeneration (21 papers), Plant Genetic and Mutation Studies (11 papers) and Seed Germination and Physiology (7 papers). R. Gnanam is often cited by papers focused on Plant tissue culture and regeneration (21 papers), Plant Genetic and Mutation Studies (11 papers) and Seed Germination and Physiology (7 papers). R. Gnanam collaborates with scholars based in India, United States and China. R. Gnanam's co-authors include Rathinasamy Karpagam, Kalimuthu Jawaharraj, A. Manickam, P. Sivakumar, M. Raveendran, R. Ravikesavan, P. Jeyakumar, Jayakanthan Mannu, Saranya Nallusamy and K. Rajamani and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Frontiers in Pharmacology.

In The Last Decade

R. Gnanam

52 papers receiving 398 citations

Peers

R. Gnanam

RESE

Hanaa H. Abd El Baky Egypt

Tsolanku Sidney Maliehe South Africa

Abhay Tiwari India

Wudali Narasimha Sudheer India

Birgül Özcan Türkiye

Zhijiang Wu China

Elisa A. Zúñiga Chile

Raimundo Rafael de Almeida Brazil

Munirah Abdullah Al-Dosary Saudi Arabia

Amal Feki Tunisia

Hanaa H. Abd El Baky Egypt

R. Gnanam

90 ×0.4

88 ×0.6

179 ×2.2

RESE

51 ×0.9

67 ×2.2

Citations per year, relative to R. Gnanam R. Gnanam (= 1×) peers Hanaa H. Abd El Baky

Countries citing papers authored by R. Gnanam

Since Specialization

Citations

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

Fields of papers citing papers by R. Gnanam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Gnanam

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

Karpagam, Rathinasamy, Saranya Nallusamy, E. Kokiladevi, & R. Gnanam. (2025). Transcriptomic responses of the microalgae, Scenedesmus sp. KT-U in vegetable waste media: An insight into gene and metabolic pathway regulation reveal the adaptation to biowaste. Journal of Water Process Engineering. 71. 107095–107095. 2 indexed citations

Subramanian, A., et al.. (2022). Pollen–pistil interaction in self-pollinated and sib pollinated f lowers of sunnhemp (Crotalaria juncea L.). Electronic Journal of Plant Breeding. 13(2). 286–294. 1 indexed citations

Geetha, S., et al.. (2022). Optimization of protocol for callus induction and whole plant regeneration for developing somaclonal variants in sugarcane cv. COC 671. Electronic Journal of Plant Breeding. 13(2). 388–398. 5 indexed citations

Rajamani, K., et al.. (2022). Resolving the acute gamma irradiation and ethyl methanesulphonate induced lethality for Jasminum sambac L. (Aiton) cv. Ramanathapuram Gundumalli. Electronic Journal of Plant Breeding. 13(2). 341–349. 2 indexed citations

Ganesamurthy, K., et al.. (2022). Study of association between morphological traits and QTLs governing sheath blight resistance in rice (Oryza sativa L.). Electronic Journal of Plant Breeding. 13(2). 608–615.

Panihar, Usha, et al.. (2022). Impact of pollination strategies on fruit set and fruit growth attributes in jasmine. SHILAP Revista de lepidopterología. 17(1). 73–82. 1 indexed citations

Suresh, J., et al.. (2021). Effect of different seed treatments on germination and seedling growth of Solanum surattense. Medicinal Plants - International Journal of Phytomedicines and Related Industries. 13(4). 596–600.

Suresh, J., et al.. (2021). Genetic diversity analysis in Solanuum surattense – An endangered medicinal plant. Electronic Journal of Plant Breeding. 12(4). 1275–1280. 1 indexed citations

Padmapriya, S., et al.. (2021). Genetic variability, correlation and path coefficient analysis in Veldt grape (Cissus quadrangularis Linn.) ecotypes. Journal of Pharmacognosy and Phytochemistry. 10(1). 2342–2346.

10.

Manoharan, Renuka Ramalingam, et al.. (2021). Cell Suspension Culture of Mucuna pruriens For Production and Improvement of L-3, 4-Dihydroxy Phenylalanine Concentration. Nigeria Agricultural Journal. 52(2). 120–129. 1 indexed citations

11.

Gnanam, R., et al.. (2017). Phytochemical analysis and bioactivity prediction of compounds in methanolic extracts of Curculigo orchioides Gaertn.. Journal of Pharmacognosy and Phytochemistry. 6(4). 192–197. 13 indexed citations

12.

Arul, L., et al.. (2014). A high-throughput regeneration protocol for recalcitrant tropical Indian maize (Zea mays L) inbreds. Maydica. 59(3). 211–216. 2 indexed citations

13.

Rajagopalan, Veera Ranjani, N. Senthil, M. Raveendran, et al.. (2014). Profiling of Metabolites from Human Intervertebral Disc through Gas Chromatography - Mass Spectrometry. Indian Journal of Science and Technology. 7(8). 1228–1235. 1 indexed citations

14.

Rajagopalan, Veera Ranjani, et al.. (2014). Intervertebral Disc Proteome Database in Human (TNAUPDB –Human Proteome). Current Trends in Biotechnology and Pharmacy. 8(4). 423–427. 1 indexed citations

15.

Rajamani, K., et al.. (2013). Colchicine content in induced mutants of Glory lily (Gloriosa superba L.).. International journal of agriculture innovation and research. 1(6). 214–216. 2 indexed citations

16.

Rajamani, K., et al.. (2010). DIRECT AND INDIRECT ORGANOGENSIS IN MEDICINAL COLEUS (COLEUS FORSKOHLII BRIQ.)- A REVIEW. Agricultural Reviews. 31(1). 73–76. 1 indexed citations

17.

Kumaravadivel, N., et al.. (2010). RP-HPLC analysis for camptothecin content in Nothapodytes nimmoniana, an endangered medicinal plant. Journal of Medicinal Plants Research. 4(3). 255–259. 16 indexed citations

18.

Rajamani, K., et al.. (2010). In vitro mutation in horticultural crops - a review.. Agricultural Reviews. 31(1). 63–67. 3 indexed citations

19.

Kumaravadivel, N., et al.. (2009). Factors influencing callus induction in the medicinal plant, Nothapodytes nimmoniana (Grah.) Mabb.. International Journal of Agriculture Environment and Biotechnology. 2(1). 83–86. 2 indexed citations

20.

Ramasamy, P., et al.. (1990). Co 11 AVARAI (Lablab purpureus var. typicus (L.) Sweet A new short duration photoinsensitive variety for Tamil Nadu. Madras Agricultural Journal. 77(March April). 121–124. 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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