M. Chandrasekaran

6.3k citations
161 papers · 4.8k indexed · 1 hit paper · h-index 36
Topics
Shape Memory Alloy Transformations (17 papers)Plant-Microbe Interactions and Immunity (15 papers)Mycorrhizal Fungi and Plant Interactions (13 papers)
Partner nations
South KoreaIndiaBelgium

In The Last Decade

M. Chandrasekaran

148 papers receiving 4.6k citations

Hit Papers

Antibacterial Activity of Chitosan Nanoparticles: A Review2020202620222024202050100150200250

Peers

M. Chandrasekaran
Comparison fields: 5 of 154
  • Plant Science 2.0k
  • Materials Chemistry 1.1k
  • Mechanical Engineering 662
  • Food Science 595
  • Molecular Biology 563
Replace Chunzhao Liu with:
Chunzhao Liu China
Ke Xing China
Ting Zhang China
Keshavan Niranjan United Kingdom
Peng Wan China
Saleh Alfarraj Saudi Arabia
Abdallah M. Elgorban Saudi Arabia
Tao Lu China
Yaoyao Wang China
Jing Li China
M. Chandrasekaran relative to Chunzhao Liu China Chunzhao Liu's profile →
Citations per field
00.5×1.5×
Chunzhao Liu · 1×
Citations per year

Countries citing papers authored by M. Chandrasekaran

Since Specialization
Citations

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

Fields of papers citing papers by M. Chandrasekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Chandrasekaran

This figure shows the co-authorship network connecting the top 25 collaborators of M. Chandrasekaran. A scholar is included among the top collaborators of M. Chandrasekaran 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 M. Chandrasekaran. M. Chandrasekaran 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 0
2 19
3 3
4 6
5 23
6 6
7 18
8 15
9 60
10 21
11 26
12
Spoilage bacteria of Penaeus indicus
0
13 19
14 20
15 10
16 27
17 153
18 7
19 33
20
Investigations on the effect of copper, cobalt and phosphorus on the growth of grazing Hereford cattle in coastal New South Wales.
2

About M. Chandrasekaran

M. Chandrasekaran is a scholar working on General Materials Science, Plant Science and Biotechnology, having authored 161 papers that have together received 4.8k indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (17 papers), Plant-Microbe Interactions and Immunity (15 papers) and Mycorrhizal Fungi and Plant Interactions (13 papers). The work is most often cited by research in Plant Science (2.0k citations), Biomaterials (484 citations) and Food Science (595 citations). M. Chandrasekaran has collaborated with scholars based in South Korea, India and Belgium. Frequent co-authors include V. Venkatesalu, Se Chul Chun, Paramasivan Manivannan, Govindasamy Agoramoorthy, Minna J. Hsu, L. Delaey, Sechul Chun, Tongmin Sa, Jae‐Wook Oh and A. Senthilkumar. Their work appears in journals such as Bioresource Technology, Scientific Reports and Food Chemistry.

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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