K. K. Narayanan

730 total citations
10 papers, 551 citations indexed

About

K. K. Narayanan is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, K. K. Narayanan has authored 10 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Plant Science and 1 paper in Ecology. Recurrent topics in K. K. Narayanan's work include Genomics and Phylogenetic Studies (3 papers), Mitochondrial Function and Pathology (2 papers) and Chromosomal and Genetic Variations (2 papers). K. K. Narayanan is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Mitochondrial Function and Pathology (2 papers) and Chromosomal and Genetic Variations (2 papers). K. K. Narayanan collaborates with scholars based in United States, India and Australia. K. K. Narayanan's co-authors include Zhixiang Zhao, Vivek Prabhakaran, John D. E. Gabrieli, Virginia Walbot, Ajay Parida, Srinivasa R. Chaluvadi, Andrew W. Liu, Madasamy Parani, C. S. Anuratha and Narayana M. Upadhyaya and has published in prestigious journals such as Nature Neuroscience, Theoretical and Applied Genetics and Aquatic Botany.

In The Last Decade

K. K. Narayanan

10 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. K. Narayanan United States	5	360	118	110	87	63	10	551
Léonardo Ceravolo Switzerland	11	240 0.7×	25 0.2×	115 1.0×	53 0.6×	11 0.2×	36	403
Jonathan Fröhlich United States	11	108 0.3×	190 1.6×	47 0.4×	98 1.1×	10 0.2×	14	479
Virgil Graf United States	10	195 0.5×	51 0.4×	44 0.4×	12 0.1×	62 1.0×	16	372
Kai Karma Finland	13	540 1.5×	23 0.2×	151 1.4×	15 0.2×	170 2.7×	22	708
Pirre Raijas Finland	9	256 0.7×	31 0.3×	71 0.6×	17 0.2×	17 0.3×	9	367
Simone Kurt Germany	12	236 0.7×	107 0.9×	28 0.3×	7 0.1×	32 0.5×	18	401
Li Yan McCurdy United States	7	294 0.8×	14 0.1×	72 0.7×	6 0.1×	43 0.7×	13	493
J. R. Royce Canada	13	85 0.2×	32 0.3×	69 0.6×	12 0.1×	25 0.4×	27	419
Kingson Man United States	8	284 0.8×	80 0.7×	81 0.7×	5 0.1×	30 0.5×	11	452

Countries citing papers authored by K. K. Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by K. K. Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. K. Narayanan

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

All Works

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10 of 10 papers shown

Upadhyaya, Narayana M., Xue‐Rong Zhou, Qian‐Hao Zhu, et al.. (2002). An iAc/Ds gene and enhancer trapping system for insertional mutagenesis in rice. Australian Journal of Plant Physiology. 29(5). 547–559. 54 indexed citations

Prabhakaran, Vivek, K. K. Narayanan, Zhijian Zhao, & John D. E. Gabrieli. (2001). Working memory maintenance capacity and its influence on memory retrieval An fMRI Study. The Society for Neuroscience Abstracts. 27(1). 219. 1 indexed citations

Prabhakaran, Vivek, K. K. Narayanan, Zhixiang Zhao, & John D. E. Gabrieli. (2000). Integration of diverse information in working memory within the frontal lobe. Nature Neuroscience. 3(1). 85–90. 414 indexed citations

Narayanan, K. K., et al.. (1999). Analysis of rice mitochondrial genome organization using pulsed-field gel electrophoresis. Journal of Biosciences. 24(2). 215–222. 2 indexed citations

Narayanan, K. K., et al.. (1998). Plant Transposable Elements and Functional Genomics.. Plant Biotechnology. 15(4). 159–165. 2 indexed citations

Narayanan, K. K., et al.. (1997). Gene and enhancer trap constructs for isolating genetic regions from rice. 31. 17–18. 4 indexed citations

Parani, Madasamy, et al.. (1997). Molecular Phylogeny of mangroves III Parentage analysis of a Rhizophora hybrid using random amplified polymorphic DNA and restriction fragment length polymorphism markers. Aquatic Botany. 58(2). 165–172. 29 indexed citations

Narayanan, K. K., et al.. (1995). Organization of the mitochondrial Cob 2 pseudogene in different lines of rice. Theoretical and Applied Genetics. 90(7-8). 1087–1093. 4 indexed citations

Narayanan, K. K., et al.. (1993). Organization of a 117-kb circular mitochondrial chromosome in IR36 rice. Current Genetics. 23(3). 248–254. 17 indexed citations

10.

Liu, Andrew W., et al.. (1992). Co-transcription of orf25 and coxIII in rice mitochondria. Current Genetics. 21(6). 507–513. 24 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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