Arun S. Moorthy

605 total citations
27 papers, 331 citations indexed

About

Arun S. Moorthy is a scholar working on Molecular Biology, Spectroscopy and Toxicology. According to data from OpenAlex, Arun S. Moorthy has authored 27 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Spectroscopy and 8 papers in Toxicology. Recurrent topics in Arun S. Moorthy's work include Analytical Chemistry and Chromatography (12 papers), Mass Spectrometry Techniques and Applications (12 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Arun S. Moorthy is often cited by papers focused on Analytical Chemistry and Chromatography (12 papers), Mass Spectrometry Techniques and Applications (12 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Arun S. Moorthy collaborates with scholars based in United States, Canada and Lithuania. Arun S. Moorthy's co-authors include Edward Sisco, W.E. Wallace, Anthony J. Kearsley, Stephen E. Stein, Dmitrii V. Tchekhovskoi, Hermann J. Eberl, W. Gary Mallard, Alejandro G. Marangoni, William P. Feeney and Rong Liu and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Analytica Chimica Acta.

In The Last Decade

Arun S. Moorthy

22 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arun S. Moorthy United States 11 186 173 111 55 47 27 331
Xianyi Zhuo China 11 104 0.6× 128 0.7× 118 1.1× 22 0.4× 22 0.5× 33 412
Daniel Pasin Australia 10 160 0.9× 191 1.1× 223 2.0× 35 0.6× 18 0.4× 17 384
Marjo Kolmonen Finland 6 224 1.2× 138 0.8× 128 1.2× 26 0.5× 88 1.9× 7 412
Nicolas V. Schwab Brazil 13 234 1.3× 138 0.8× 27 0.2× 132 2.4× 31 0.7× 22 471
Thays Colletes de Carvalho Brazil 10 231 1.2× 83 0.5× 68 0.6× 102 1.9× 65 1.4× 14 374
Chris Hopley United Kingdom 9 245 1.3× 130 0.8× 32 0.3× 61 1.1× 52 1.1× 16 350
Jan‐Piet Franke Netherlands 11 194 1.0× 44 0.3× 64 0.6× 85 1.5× 34 0.7× 14 295
Robert Papp Canada 8 144 0.8× 114 0.7× 12 0.1× 27 0.5× 52 1.1× 9 272
Michaël Canfyn Belgium 15 75 0.4× 91 0.5× 62 0.6× 108 2.0× 74 1.6× 29 468
E. Lyris Greece 10 148 0.8× 66 0.4× 47 0.4× 27 0.5× 104 2.2× 13 356

Countries citing papers authored by Arun S. Moorthy

Since Specialization
Citations

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

Fields of papers citing papers by Arun S. Moorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arun S. Moorthy. 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 Arun S. Moorthy. The network helps show where Arun S. Moorthy may publish in the future.

Co-authorship network of co-authors of Arun S. Moorthy

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

All Works

20 of 20 papers shown
3.
Kumar, Manish, et al.. (2024). Impact of Body Mass Index on Coordination, Static and Dynamic Balance in Young Adults: A Case-control Study. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH.
4.
Moorthy, Arun S., et al.. (2024). A mathematical model of competition between fiber and mucin degraders in the gut provides a possible explanation for mucus thinning. Journal of Theoretical Biology. 587. 111824–111824.
5.
Wallace, W.E. & Arun S. Moorthy. (2023). NIST Mass Spectrometry Data Center standard reference libraries and software tools: Application to seized drug analysis. Journal of Forensic Sciences. 68(5). 1484–1493. 26 indexed citations
6.
Moorthy, Arun S., et al.. (2023). On the challenge of unambiguous identification of fentanyl analogs: Exploring measurement diversity using standard reference mass spectral libraries. Journal of Forensic Sciences. 68(5). 1494–1503. 1 indexed citations
7.
Moorthy, Arun S., et al.. (2023). Enzymatic Hydrolysis of Complex Carbohydrates and the Mucus in a Mathematical Model of a Gut Reactor. Processes. 11(2). 370–370. 2 indexed citations
8.
Moorthy, Arun S., Anthony J. Kearsley, W. Gary Mallard, W.E. Wallace, & Stephen E. Stein. (2023). Inferring the Nominal Molecular Mass of an Analyte from Its Electron Ionization Mass Spectrum. Analytical Chemistry. 95(35). 13132–13139. 5 indexed citations
9.
Roberts, Matthew J., Arun S. Moorthy, Edward Sisco, & Anthony J. Kearsley. (2022). Incorporating measurement variability when comparing sets of high-resolution mass spectra. Analytica Chimica Acta. 1230. 340247–340247. 6 indexed citations
10.
Feeney, William P., Arun S. Moorthy, & Edward Sisco. (2022). Spectral trends in GC-EI-MS data obtained from the SWGDRUG mass spectral library and literature: A resource for the identification of unknown compounds. Forensic Chemistry. 31. 100459–100459. 18 indexed citations
11.
Sisco, Edward, et al.. (2022). Qualitative Analysis of Real Drug Evidence Using DART-MS and the Inverted Library Search Algorithm. Journal of the American Society for Mass Spectrometry. 33(9). 1784–1793. 9 indexed citations
12.
Moorthy, Arun S., et al.. (2022). Updates to the Inverted Library Search Algorithm for Mixture Analysis. Journal of the American Society for Mass Spectrometry. 33(7). 1260–1266. 15 indexed citations
13.
Sisco, Edward, et al.. (2021). Development and evaluation of a synthetic opioid targeted gas chromatography mass spectrometry (GC‐MS) method. Journal of Forensic Sciences. 66(6). 2369–2380. 16 indexed citations
14.
Sisco, Edward, et al.. (2021). Development and evaluation of a synthetic cathinone targeted gas chromatography mass spectrometry (GC‐MS) method. Journal of Forensic Sciences. 66(5). 1919–1928. 7 indexed citations
15.
Moorthy, Arun S. & Edward Sisco. (2021). The Min-Max Test: An Objective Method for Discriminating Mass Spectra. Analytical Chemistry. 93(39). 13319–13325. 7 indexed citations
16.
Moorthy, Arun S. & Edward Sisco. (2021). A New Library-Search Algorithm for Mixture Analysis Using DART-MS. Journal of the American Society for Mass Spectrometry. 32(7). 1725–1734. 17 indexed citations
17.
Moorthy, Arun S., Anthony J. Kearsley, W. Gary Mallard, & W.E. Wallace. (2020). Mass spectral similarity mapping applied to fentanyl analogs. Forensic Chemistry. 19. 100237–100237. 26 indexed citations
18.
Moorthy, Arun S. & Hermann J. Eberl. (2017). compuGUT: An in silico platform for simulating intestinal fermentation. SoftwareX. 6. 237–242. 4 indexed citations
19.
Moorthy, Arun S., Stephen P.J. Brooks, Martin Kalmokoff, & Hermann J. Eberl. (2015). A Spatially Continuous Model of Carbohydrate Digestion and Transport Processes in the Colon. PLoS ONE. 10(12). e0145309–e0145309. 14 indexed citations
20.
Moorthy, Arun S. & Hermann J. Eberl. (2013). Assessing the influence of reactor system design criteria on the performance of model colon fermentation units. Journal of Bioscience and Bioengineering. 117(4). 478–484. 5 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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