K. S. Muralikrishna

41 total papers · 474 total citations
17 papers, 311 citations indexed

About

K. S. Muralikrishna is a scholar working on Plant Science, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, K. S. Muralikrishna has authored 17 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 8 papers in Inorganic Chemistry and 5 papers in Molecular Biology. Recurrent topics in K. S. Muralikrishna's work include Coconut Research and Applications (8 papers), Plant tissue culture and regeneration (4 papers) and Plant-Microbe Interactions and Immunity (3 papers). K. S. Muralikrishna is often cited by papers focused on Coconut Research and Applications (8 papers), Plant tissue culture and regeneration (4 papers) and Plant-Microbe Interactions and Immunity (3 papers). K. S. Muralikrishna collaborates with scholars based in India, United States and United Arab Emirates. K. S. Muralikrishna's co-authors include N. Priyanka, K. Manikandan, Ramcharan Bhattacharya, Manish Tiwari, Shivendra V. Sahi, P. Venkatachalam, Nidhi Sharma, N. Geetha, Amit Kumar and V. S. John Sunoj and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Agriculture Ecosystems & Environment.

In The Last Decade

K. S. Muralikrishna

15 papers receiving 304 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
K. S. Muralikrishna 180 140 60 59 20 17 311
Lukman Ahamad 127 0.7× 90 0.6× 35 0.6× 52 0.9× 28 1.4× 17 287
Guikai Zhu 105 0.6× 123 0.9× 48 0.8× 50 0.8× 25 1.3× 21 288
Yuanqiang Yang 91 0.5× 235 1.7× 82 1.4× 106 1.8× 37 1.9× 12 360
Dandan Guo 151 0.8× 83 0.6× 76 1.3× 27 0.5× 62 3.1× 19 355
Sushree S. Priyadarshini 56 0.3× 90 0.6× 46 0.8× 74 1.3× 21 1.1× 7 274
Yuechun Zhao 64 0.4× 116 0.8× 46 0.8× 125 2.1× 26 1.3× 17 297
Jyoti Mathur 196 1.1× 104 0.7× 58 1.0× 94 1.6× 17 0.8× 32 343
Sandeep Singh 162 0.9× 63 0.5× 24 0.4× 32 0.5× 20 1.0× 26 334
Siyu Chen 167 0.9× 187 1.3× 57 0.9× 41 0.7× 39 1.9× 16 359
Abdel Kareem S. H. Mohamed 186 1.0× 120 0.9× 40 0.7× 32 0.5× 26 1.3× 13 314

Countries citing papers authored by K. S. Muralikrishna

Since Specialization
Citations

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

Fields of papers citing papers by K. S. Muralikrishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. S. Muralikrishna

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

All Works

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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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