Leepika Tuli
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
Papers in
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- Metabolomics and Mass Spectrometry Studies 7
- Microbial Metabolic Engineering and Bioproduction 1
- Sphingolipid Metabolism and Signaling 1
- CRISPR and Genetic Engineering 1
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- Mass Spectrometry Techniques and Applications 4
- Advanced Proteomics Techniques and Applications 4
- Analytical Chemistry and Chromatography 1
- Co-authors
- Habtom W. Ressom (6 shared papers)Jun Xiao (3 shared papers)Bin Zhou (1 shared paper)Rency S. Varghese (4 shared papers)Amrita K. Cheema (4 shared papers)Bin Zhou (2 shared papers)Tsung‐Heng Tsai (3 shared papers)Radoslav Goldman (1 shared paper)
- Journals
- Metabolic Engineering (1 paper)Analytica Chimica Acta (1 paper)Journal of Proteome Research (1 paper)Molecular BioSystems (1 paper)Journal of Chromatography A (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Leepika Tuli
9 papers receiving 728 citations
Leepika Tuli's Hit Papers
Peers
Comparison fields: 5 of 100
- Spectroscopy 174
- Molecular Biology 547
- Biological Psychiatry 16
- Cancer Research 64
- Biochemistry 20
Countries citing papers authored by Leepika Tuli
This map shows the geographic impact of Leepika Tuli'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 Leepika Tuli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leepika Tuli more than expected).
Fields of papers citing papers by Leepika Tuli
This network shows the impact of papers produced by Leepika Tuli. 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 Leepika Tuli. The network helps show where Leepika Tuli may publish in the future.
Co-authors
The 25 scholars most cited alongside Leepika Tuli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | LC-MS-based metabolomics Hit paper breakdown → | 2011 | 452 |
| 2 | 2012 | 132 | |
| 3 | 2009 | 72 | |
| 4 | 2010 | 30 | |
| 5 | 2015 | 21 | |
| 6 | 2012 | 13 | |
| 7 | 2010 | 9 | |
| 8 | 2001 | 6 | |
| 9 | 2010 | 1 |
About Leepika Tuli
Leepika Tuli is a scholar working on Molecular Biology, Spectroscopy, Pharmacology, Ecology, Evolution, Behavior and Systematics and Epidemiology, having authored 9 papers that have together received 736 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Mass Spectrometry Techniques and Applications (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Advanced Chemical Sensor Technologies (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Sphingolipid Metabolism and Signaling (1 paper), CRISPR and Genetic Engineering (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Spectroscopy (174 citations), Molecular Biology (547 citations), Biological Psychiatry (16 citations), Cancer Research (64 citations) and Biochemistry (20 citations). Leepika Tuli has collaborated with scholars based in United States, China and India. Frequent co-authors include Habtom W. Ressom, Jun Xiao, Bin Zhou, Rency S. Varghese, Amrita K. Cheema, Bin Zhou, Tsung‐Heng Tsai, Radoslav Goldman, Yi Zhao and Mahlet G. Tadesse. Their work appears in journals such as Metabolic Engineering, Analytica Chimica Acta, Journal of Proteome Research, Molecular BioSystems and Journal of Chromatography A.
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.