Leepika Tuli

974 total citations · 1 hit paper
9 papers, 736 citations indexed

About

Leepika Tuli is a scholar working on Molecular Biology, Spectroscopy and Pharmacology. According to data from OpenAlex, Leepika Tuli has authored 9 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Spectroscopy and 1 paper in Pharmacology. Recurrent topics in Leepika Tuli's work include Metabolomics and Mass Spectrometry Studies (7 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Leepika Tuli is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Leepika Tuli collaborates with scholars based in United States, China and India. Leepika Tuli's co-authors include Habtom W. Ressom, Jun Xiao, Bin Zhou, Amrita K. Cheema, Rency S. Varghese, Bin Zhou, Tsung‐Heng Tsai, Radoslav Goldman, Jinlian Wang and Yi Zhao and has published in prestigious journals such as Journal of Chromatography A, Analytica Chimica Acta and Journal of Proteome Research.

In The Last Decade

Leepika Tuli

9 papers receiving 728 citations

Hit Papers

LC-MS-based metabolomics 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leepika Tuli United States 7 547 174 102 86 64 9 736
Nobuyuki Okahashi Japan 15 755 1.4× 212 1.2× 123 1.2× 51 0.6× 78 1.2× 40 987
Yuping Chen United States 13 492 0.9× 108 0.6× 53 0.5× 152 1.8× 71 1.1× 32 884
Haruki Uchino Japan 5 444 0.8× 165 0.9× 50 0.5× 39 0.5× 29 0.5× 5 619
Kishore Kumar Pasikanti Singapore 12 844 1.5× 329 1.9× 242 2.4× 72 0.8× 123 1.9× 15 1.1k
Shuang Zhao China 12 465 0.9× 228 1.3× 104 1.0× 20 0.2× 36 0.6× 44 699
Martin F. Almstetter Germany 12 428 0.8× 270 1.6× 173 1.7× 27 0.3× 49 0.8× 13 708
Márcia Monteiro Portugal 10 356 0.7× 108 0.6× 107 1.0× 36 0.4× 97 1.5× 12 522
Sunmi Kang South Korea 14 470 0.9× 38 0.2× 34 0.3× 51 0.6× 55 0.9× 27 710
Lenka A. Taylor Germany 9 333 0.6× 50 0.3× 39 0.4× 69 0.8× 72 1.1× 14 794
Xianfu Gao China 18 731 1.3× 60 0.3× 55 0.5× 143 1.7× 108 1.7× 30 1.1k

Countries citing papers authored by Leepika Tuli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Leepika Tuli

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

All Works

9 of 9 papers shown
1.
Wu, Hui, Leepika Tuli, George N. Bennett, & Ka‐Yiu San. (2015). Metabolic transistor strategy for controlling electron transfer chain activity in Escherichia coli. Metabolic Engineering. 28. 159–168. 21 indexed citations
2.
Ressom, Habtom W., Jun Xiao, Leepika Tuli, et al.. (2012). Utilization of metabolomics to identify serum biomarkers for hepatocellular carcinoma in patients with liver cirrhosis. Analytica Chimica Acta. 743. 90–100. 132 indexed citations
3.
Tuli, Leepika, Tsung‐Heng Tsai, Rency S. Varghese, et al.. (2012). Using a spike-in experiment to evaluate analysis of LC-MS data. Proteome Science. 10(1). 13–13. 13 indexed citations
4.
Zhou, Bin, Jun Xiao, Leepika Tuli, & Habtom W. Ressom. (2011). LC-MS-based metabolomics. Molecular BioSystems. 8(2). 470–481. 452 indexed citations breakdown →
5.
Armenta, Jenny M., Yang Xu, Danielle N. Shapiro, et al.. (2010). Fast proteomic protocol for biomarker fingerprinting in cancerous cells. Journal of Chromatography A. 1217(17). 2862–2870. 9 indexed citations
6.
Varghese, Rency S., Amrita K. Cheema, Leepika Tuli, et al.. (2010). Analysis of LC−MS Data for Characterizing the Metabolic Changes in Response to Radiation. Journal of Proteome Research. 9(5). 2786–2793. 30 indexed citations
7.
Tuli, Leepika, Tsung‐Heng Tsai, Rency S. Varghese, Amrita K. Cheema, & Habtom W. Ressom. (2010). Using a spike-in experiment to evaluate analysis of LC-MS data. 67–72. 1 indexed citations
8.
Tuli, Leepika & Habtom W. Ressom. (2009). LC–MS Based Detection of Differential Protein Expression. Journal of Proteomics & Bioinformatics. 2(10). 416–438. 72 indexed citations
9.
Tuli, Leepika, et al.. (2001). Antifungal Activity of Chaerophylline and Berberine Hydroxide Isolated from Corydalis Species. Mycobiology. 29(2). 100–103. 6 indexed citations

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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