Subbaratnam Muthukrishnan

15.4k citations
133 papers · 10.3k indexed · 2 hit papers · h-index 61
Topics
Studies on Chitinases and Chitosanases (56 papers)Insect Resistance and Genetics (44 papers)Insect symbiosis and bacterial influences (31 papers)

In The Last Decade

Subbaratnam Muthukrishnan

132 papers receiving 9.8k citations

Hit Papers

Pathogenesis-Related Proteins in Plants197520261992200919991975100200300400500

Peers

Subbaratnam Muthukrishnan
Comparison fields: 5 of 117
  • Molecular Biology 6.8k
  • Plant Science 3.8k
  • Insect Science 3.5k
  • Immunology 1.8k
  • Genetics 1.2k
Replace Walter R. Terra with:
Walter R. Terra Brazil
Michael R. Kanost United States
Enbo Ma China
Yasuyuki Arakane United States
Jannick Dyrløv Bendtsen Denmark
Hans Merzendorfer Germany
Chuan‐Xi Zhang China
Zhonghuai Xiang China
Philippe Bulet France
Dwayne D. Hegedus Canada
Subbaratnam Muthukrishnan relative to Walter R. Terra Brazil Walter R. Terra's profile →
Citations per field
00.5×1.5×2.5×
Walter R. Terra · 1×
Citations per year

Countries citing papers authored by Subbaratnam Muthukrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Subbaratnam Muthukrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subbaratnam Muthukrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Subbaratnam Muthukrishnan. A scholar is included among the top collaborators of Subbaratnam Muthukrishnan 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 Subbaratnam Muthukrishnan. Subbaratnam Muthukrishnan 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
#WorkIndexed citations
1 1
2 5
3 9
4 27
5 49
6 76
7 96
8 54
9 146
10 82
11 4
12 67
13 65
14 60
15 41
16 35
17 52
18 71
19 11
20 59

About Subbaratnam Muthukrishnan

Subbaratnam Muthukrishnan is a scholar working on Insect Science, Biotechnology and Immunology, having authored 133 papers that have together received 10.3k indexed citations. Recurring topics across this work include Studies on Chitinases and Chitosanases (56 papers), Insect Resistance and Genetics (44 papers) and Insect symbiosis and bacterial influences (31 papers). The work is most often cited by research in Insect Science (3.5k citations), Biotechnology (907 citations) and Plant Science (3.8k citations). Subbaratnam Muthukrishnan has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Karl J. Kramer, Yasuyuki Arakane, Richard W. Beeman, Swapan K. Datta, Aaron J. Shatkin, Yasuhiro Furuichi, Michael R. Kanost, Charles A. Specht, Hans Merzendorfer and Mi Young Noh. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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