Balachandran Manavalan

8.1k citations
130 papers · 6.3k indexed · 1 hit paper · h-index 46
Topics
Machine Learning in Bioinformatics (72 papers)RNA and protein synthesis mechanisms (34 papers)vaccines and immunoinformatics approaches (25 papers)
Partner nations
South KoreaJapanThailand

In The Last Decade

Balachandran Manavalan

124 papers receiving 6.3k citations

Hit Papers

MonkeyNet: A robust deep convolutional neural network for...20232026202420252023255075

Peers

Balachandran Manavalan
Comparison fields: 5 of 161
  • Molecular Biology 5.0k
  • Microbiology 967
  • Computational Theory and Mathematics 671
  • Immunology 516
  • Cancer Research 394
Replace Jiangning Song with:
Jiangning Song Australia
Wei Chen China
Gwang Lee South Korea
Jianyi Yang China
Tzong-Yi Lee Taiwan
Cathy Wu United States
Jianlin Cheng United States
Shaherin Basith South Korea
Leyi Wei China
Tao Huang China
Balachandran Manavalan relative to Jiangning Song Australia Jiangning Song's profile →
Citations per field
00.5×1.5×
Jiangning Song · 1×
Citations per year

Countries citing papers authored by Balachandran Manavalan

Since Specialization
Citations

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

Fields of papers citing papers by Balachandran Manavalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balachandran Manavalan

This figure shows the co-authorship network connecting the top 25 collaborators of Balachandran Manavalan. A scholar is included among the top collaborators of Balachandran Manavalan 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 Balachandran Manavalan. Balachandran Manavalan 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 11
2 3
3 5
4 11
5 1
6 2
7 2
8 3
9 6
10 3
11 15
12 7
13 3
14 12
15 37
16 118
17 46
18 83
19 117
20 27

About Balachandran Manavalan

Balachandran Manavalan is a scholar working on Microbiology, Molecular Biology and Computational Theory and Mathematics, having authored 130 papers that have together received 6.3k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (72 papers), RNA and protein synthesis mechanisms (34 papers) and vaccines and immunoinformatics approaches (25 papers). The work is most often cited by research in Microbiology (967 citations), Molecular Biology (5.0k citations) and Computational Theory and Mathematics (671 citations). Balachandran Manavalan has collaborated with scholars based in South Korea, Japan and Thailand. Frequent co-authors include Gwang Lee, Tae Hwan Shin, Shaherin Basith, Md Mehedi Hasan, Leyi Wei, Watshara Shoombuatong, Sangdun Choi, Myeong Ok Kim, Hiroyuki Kurata and Phasit Charoenkwan. Their work appears in journals such as Bioinformatics, PLoS ONE and Journal of Molecular Biology.

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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