Dinesh Kumar Barupal
- Molecular Biology top 5%
- Health, Toxicology and Mutagenesis top 2%
- Spectroscopy top 2%
- Physiology top 5%
- Biomedical Engineering top 10%
- Co-authors
- Oliver FiehnTobias KindGert WohlgemuthAugustin ScalbertHiroshi TsugawaSili FanStephen M. RappaportPaolo Vineis
- Topics
- Metabolomics and Mass Spectrometry Studies (37 papers)Health, Environment, Cognitive Aging (13 papers)Bioinformatics and Genomic Networks (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryEnvironmental Science & Technology
- Partner nations
- United StatesFranceSaudi Arabia
In The Last Decade
Dinesh Kumar Barupal
67 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 2.2k
- Health, Toxicology and Mutagenesis 524
- Spectroscopy 505
- Physiology 414
- Biomedical Engineering 328
Countries citing papers authored by Dinesh Kumar Barupal
This map shows the geographic impact of Dinesh Kumar Barupal'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 Dinesh Kumar Barupal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinesh Kumar Barupal more than expected).
Fields of papers citing papers by Dinesh Kumar Barupal
This network shows the impact of papers produced by Dinesh Kumar Barupal. 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 Dinesh Kumar Barupal. The network helps show where Dinesh Kumar Barupal may publish in the future.
Co-authorship network of co-authors of Dinesh Kumar Barupal
This figure shows the co-authorship network connecting the top 25 collaborators of Dinesh Kumar Barupal. A scholar is included among the top collaborators of Dinesh Kumar Barupal 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 Dinesh Kumar Barupal. Dinesh Kumar Barupal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 51 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 19 | |
| 12 | 21 | |
| 13 | 10 | |
| 14 | 15 | |
| 15 | Serum triglycerides in Alzheimer disease: Relation to neuroimaging and CSF biomarkers | 1 |
| 16 | 7 | |
| 17 | 42 | |
| 18 | 87 | |
| 19 | 142 | |
| 20 | Managing Complexity - How Many Platforms Do We Need for Metabolomics? | 1 |
About Dinesh Kumar Barupal
Dinesh Kumar Barupal is a scholar working on Health, Toxicology and Mutagenesis, Biological Psychiatry and Molecular Biology, having authored 70 papers that have together received 3.7k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (37 papers), Health, Environment, Cognitive Aging (13 papers) and Bioinformatics and Genomic Networks (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (524 citations), Molecular Biology (2.2k citations) and Spectroscopy (505 citations). Dinesh Kumar Barupal has collaborated with scholars based in United States, France and Saudi Arabia. Frequent co-authors include Oliver Fiehn, Tobias Kind, Gert Wohlgemuth, Augustin Scalbert, Hiroshi Tsugawa, Sili Fan, Stephen M. Rappaport, Paolo Vineis, David S. Wishart and Tomáš Čajka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Environmental Science & Technology.
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.