Jyotsna Kasturi

401 citations
13 papers · 299 indexed · h-index 7
Topics
Gene expression and cancer classification (4 papers)Bioinformatics and Genomic Networks (3 papers)Bioactive Compounds and Antitumor Agents (2 papers)

In The Last Decade

Jyotsna Kasturi

13 papers receiving 285 citations

Peers

Jyotsna Kasturi
Comparison fields: 5 of 71
  • Molecular Biology 196
  • Genetics 66
  • Physiology 30
  • Organic Chemistry 29
  • Cancer Research 24
Replace Betina Kerstin Lundholt with:
Betina Kerstin Lundholt Denmark
Stephanie Sommer Germany
Fang Wu China
Francesca Mulas Italy
Wilco Fleuren Netherlands
Jagannath Misra United States
Roumyana Yordanova United States
Louis Locco United States
Jyotsna Kasturi relative to Betina Kerstin Lundholt Denmark Betina Kerstin Lundholt's profile →
Citations per field
00.5×
Betina Kerstin Lundholt · 1×
Citations per year

Countries citing papers authored by Jyotsna Kasturi

Since Specialization
Citations

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

Fields of papers citing papers by Jyotsna Kasturi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyotsna Kasturi

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 1
3 2
4 30
5 3
6 110
7 4
8 47
9 2
10
Kullback-Leibler clustering of continuous wavelet transform measures of heart rate variability.
9
11 21
12 6
13 62

About Jyotsna Kasturi

Jyotsna Kasturi is a scholar working on Toxicology, Statistics and Probability and Information Systems and Management, having authored 13 papers that have together received 299 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Molecular Biology (196 citations), Genetics (66 citations) and Medical Laboratory Technology (3 citations). Jyotsna Kasturi has collaborated with scholars based in United States, United Kingdom and Cyprus. Frequent co-authors include Raj Acharya, Murali Ramanathan, John G. Geisler, Mark R. Player, Dionisios Rentzeperis, Raymond J. Patch, Micheal D. Gaul, Jianying Liu, John O’Neill and M.C. Abad. Their work appears in journals such as Bioinformatics, Genome Research and Journal of Medicinal 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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