Janani Ravichandran

422 citations
15 papers · 263 indexed · h-index 9
Topics
Computational Drug Discovery Methods (6 papers)Health, Environment, Cognitive Aging (5 papers)Effects and risks of endocrine disrupting chemicals (4 papers)

In The Last Decade

Janani Ravichandran

14 papers receiving 259 citations

Peers

Janani Ravichandran
Comparison fields: 5 of 81
  • Health, Toxicology and Mutagenesis 99
  • Molecular Biology 60
  • Computational Theory and Mathematics 52
  • Pollution 37
  • Pediatrics, Perinatology and Child Health 30
Replace Monica Kam Draskau with:
Monica Kam Draskau Denmark
Sylvia Jacobi Germany
Hongxuan Kuang China
Scott L. Watson United States
Ingrid L. Druwe United States
Jérémy Pinguet France
A Stárek Poland
Xuan Xiao China
F. Gallissot France
Milena Anđelković Serbia
Janani Ravichandran relative to Monica Kam Draskau Denmark Monica Kam Draskau's profile →
Citations per field
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Monica Kam Draskau · 1×
Citations per year

Countries citing papers authored by Janani Ravichandran

Since Specialization
Citations

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

Fields of papers citing papers by Janani Ravichandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janani Ravichandran

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 7
5 8
6 9
7 24
8 8
9 10
10 14
11 4
12 31
13 53
14 67
15 23

About Janani Ravichandran

Janani Ravichandran is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Small Animals, having authored 15 papers that have together received 263 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Health, Environment, Cognitive Aging (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (99 citations), Computational Theory and Mathematics (52 citations) and Pollution (37 citations). Janani Ravichandran has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Areejit Samal, Bagavathy Shanmugam Karthikeyan, Nurgul Carkaci‐Salli, Arubala P. Reddy, R.P. Vivek-Ananth, S.R. Aparna, Karthikeyan Mohanraj, Shubra Singh, Jürgen Jost and Ajaya Kumar Sahoo. Their work appears in journals such as The Science of The Total Environment, Chemosphere and Plant Cell & Environment.

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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