Kaliraj Chandran

497 citations
21 papers · 377 indexed · h-index 13

Kaliraj Chandran

21 papers receiving 369 citations

Peers

Kaliraj Chandran
Comparison fields: 5 of 54
  • Toxicology 99
  • Computational Theory and Mathematics 142
  • Organic Chemistry 210
  • Physical and Theoretical Chemistry 43
  • Complementary and alternative medicine 26
Replace Mohana Priya with:
Mohana Priya India
Azar Zochedh India
Sandeep Telkar India
Malik Nasibullah India
Hsaine Zgou Morocco
Zabiulla Zabiulla India
Javed Sheikh India
Nabila A. Kheder Egypt
S. K. Peethambar India
Emmanuel U. Ejiofor Nigeria
Kaliraj Chandran relative to Mohana Priya India Mohana Priya's profile →
Citations per field
00.5×1.6×
Mohana Priya · 1×
Citations per year

Countries citing papers authored by Kaliraj Chandran

Since Specialization
Citations

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

Fields of papers citing papers by Kaliraj Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside Kaliraj Chandran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaliraj Chandran Line = papers co-authored together Kaliraj Chandran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20252
3 20248
4 202412
5 20244
6 20244
7 20248
8 202415
9 202429
10 20243
11 202332
12 202342
13 202322
14 202316
15 202328
16 202324
17 202324
18 202322
19 202322
20 202252

About Kaliraj Chandran

Kaliraj Chandran is a scholar working on Toxicology, Computational Theory and Mathematics, Organic Chemistry, Electronic, Optical and Magnetic Materials and Complementary and alternative medicine, having authored 21 papers that have together received 377 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Bioactive Compounds and Antitumor Agents (9 papers), Synthesis and biological activity (7 papers), Free Radicals and Antioxidants (4 papers), Nonlinear Optical Materials Research (4 papers), Metal complexes synthesis and properties (3 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers) and Metal-Organic Frameworks: Synthesis and Applications (2 papers). The work is most often cited by research in Toxicology (99 citations), Computational Theory and Mathematics (142 citations), Organic Chemistry (210 citations), Physical and Theoretical Chemistry (43 citations) and Complementary and alternative medicine (26 citations). Kaliraj Chandran has collaborated with scholars based in India, Saudi Arabia and Türkiye. Frequent co-authors include Azar Zochedh, S. Asath Bahadur, Thandavarayan Kathiresan, Mohana Priya, S. Athimoolam, Yedluri Anil Kumar, Sabah Ansar, Volkan Eyüpoğlu, T. Rajendran and Bandar Ali Al‐Asbahi. Their work appears in journals such as International Journal of Quantum Chemistry, Polycyclic aromatic compounds, Journal of Nanoparticle Research, Journal of Molecular Structure and Chemistry Africa.

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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