Morgan Panitchpakdi

2.5k total citations
7 papers, 151 citations indexed

About

Morgan Panitchpakdi is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Morgan Panitchpakdi has authored 7 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Physiology. Recurrent topics in Morgan Panitchpakdi's work include Metabolomics and Mass Spectrometry Studies (4 papers), Diet and metabolism studies (2 papers) and Nutrition, Genetics, and Disease (1 paper). Morgan Panitchpakdi is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Diet and metabolism studies (2 papers) and Nutrition, Genetics, and Disease (1 paper). Morgan Panitchpakdi collaborates with scholars based in United States, Germany and Russia. Morgan Panitchpakdi's co-authors include Pieter C. Dorrestein, Kelly C. Weldon, Andrés Mauricio Caraballo‐Rodríguez, Amanda Hazel Dilmore, Rima Kaddurah‐Daouk, Cameron Martino, Suzanne Craft, Rob Knight, Michael J. Meehan and Gibraan Rahman and has published in prestigious journals such as Nature Communications, PLoS ONE and Food Chemistry.

In The Last Decade

Morgan Panitchpakdi

6 papers receiving 150 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morgan Panitchpakdi United States 5 99 45 32 21 13 7 151
Baochun Shen China 11 175 1.8× 38 0.8× 30 0.9× 13 0.6× 67 5.2× 32 364
А. В. Шестопалов Russia 8 120 1.2× 60 1.3× 13 0.4× 36 1.7× 3 0.2× 63 255
Anika Wahl Germany 6 99 1.0× 37 0.8× 143 4.5× 10 0.5× 11 0.8× 8 293
Wanxin Fu China 8 132 1.3× 76 1.7× 28 0.9× 10 0.5× 14 252
Supaporn Pitiporn Thailand 9 64 0.6× 19 0.4× 32 1.0× 11 0.5× 4 0.3× 21 344
Caibi Zhou China 8 161 1.6× 23 0.5× 18 0.6× 35 1.7× 2 0.2× 18 337
Andrea Álvarez‐Sala Spain 10 120 1.2× 54 1.2× 14 0.4× 7 0.3× 5 0.4× 16 293
Mélanie Le Sayec United Kingdom 11 130 1.3× 82 1.8× 12 0.4× 14 0.7× 2 0.2× 18 360
Andreu Gual‐Grau Spain 7 162 1.6× 116 2.6× 12 0.4× 12 0.6× 1 0.1× 12 262
Klaus Eulitz United States 9 142 1.4× 30 0.7× 13 0.4× 4 0.2× 80 6.2× 17 710

Countries citing papers authored by Morgan Panitchpakdi

Since Specialization
Citations

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

Fields of papers citing papers by Morgan Panitchpakdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morgan Panitchpakdi

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

All Works

7 of 7 papers shown
1.
Weldon, Kelly C., Morgan Panitchpakdi, Andrés Mauricio Caraballo‐Rodríguez, et al.. (2025). Urinary Metabolomic Profile is Minimally Impacted by Common Storage Conditions and Additives. International Urogynecology Journal. 36(4). 839–847. 1 indexed citations
2.
Dilmore, Amanda Hazel, Cameron Martino, Bryan J. Neth, et al.. (2023). Effects of a ketogenic and low‐fat diet on the human metabolome, microbiome, and foodome in adults at risk for Alzheimer's disease. Alzheimer s & Dementia. 19(11). 4805–4816. 58 indexed citations
3.
Panitchpakdi, Morgan, Kelly C. Weldon, Alan K. Jarmusch, et al.. (2022). Non-invasive skin sampling detects systemically administered drugs in humans. PLoS ONE. 17(7). e0271794–e0271794. 7 indexed citations
4.
Behsaz, Bahar, Edna Bode, Alexey Gurevich, et al.. (2021). Publisher Correction: Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery. Nature Communications. 12(1). 4318–4318.
5.
Behsaz, Bahar, Edna Bode, Alexey Gurevich, et al.. (2021). Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery. Nature Communications. 12(1). 3225–3225. 49 indexed citations
6.
Vargas, Fernando, Kelly C. Weldon, Nicole Sikora, et al.. (2020). Protocol for community‐created public MS/MS reference spectra within the Global Natural Products Social Molecular Networking infrastructure. Rapid Communications in Mass Spectrometry. 34(10). e8725–e8725. 13 indexed citations
7.
Ottavio, Francesca Di, Julia M. Gauglitz, Madeleine Ernst, et al.. (2019). A UHPLC-HRMS based metabolomics and chemoinformatics approach to chemically distinguish ‘super foods’ from a variety of plant-based foods. Food Chemistry. 313. 126071–126071. 23 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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