Brian C. DeFelice

2.8k total citations · 2 hit papers
30 papers, 1.9k citations indexed

About

Brian C. DeFelice is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Brian C. DeFelice has authored 30 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Genetics. Recurrent topics in Brian C. DeFelice's work include Metabolomics and Mass Spectrometry Studies (11 papers), Gut microbiota and health (8 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Brian C. DeFelice is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Gut microbiota and health (8 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Brian C. DeFelice collaborates with scholars based in United States, Saudi Arabia and China. Brian C. DeFelice's co-authors include Oliver Fiehn, Kwang‐Hyeon Liu, John K. Meissen, Tobias Kind, Do Yup Lee, Johannes F. Fahrmann, Suzanne Miyamoto, David R. Gandara, Juan M. Sánchez and David E. Olson and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Brian C. DeFelice

29 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LipidBlast in silico tandem mass spectrometry database for lipid identification

2013 744 citations Tobias Kind, Kwang‐Hyeon Liu et al. Nature Methods profile →
A metabolomics pipeline for the mechanistic interrogation of the gut microbiome

2021 249 citations Shuo Han, Will Van Treuren et al. Nature profile →

Peers

Brian C. DeFelice

SPECT

PHYSI

Chunxiu Hu China

Masataka Nagao Japan

Aaron M. Armando United States

Xiaofei Sun United States

Jun Xiao China

Jingxian Zhang China

Hideyuki Yamada Japan

Xiaotao Shen China

Beate Kamlage Germany

Dmitry Grapov United States

Chunxiu Hu China

Brian C. DeFelice

1.9k ×1.4

531 ×1.4

SPECT

394 ×2.0

356 ×1.9

PHYSI

212 ×1.6

Citations per year, relative to Brian C. DeFelice Brian C. DeFelice (= 1×) peers Chunxiu Hu

Countries citing papers authored by Brian C. DeFelice

Since Specialization

Citations

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

Fields of papers citing papers by Brian C. DeFelice

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C. DeFelice. 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 Brian C. DeFelice. The network helps show where Brian C. DeFelice may publish in the future.

Co-authorship network of co-authors of Brian C. DeFelice

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

All Works

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20 of 20 papers shown

Xue, Katherine S., Jamie Lopez Bernal, Jean C. C. Vila, et al.. (2025). Competition for shared resources increases dependence on initial population size during coalescence of gut microbial communities. Proceedings of the National Academy of Sciences. 122(11). e2322440122–e2322440122. 1 indexed citations

Shi, Handuo, Taylor H. Nguyen, Sylvie Estrela, et al.. (2025). Nutrient competition predicts gut microbiome restructuring under drug perturbations. Cell. 188(24). 6971–6986.e14.

Vorperian, Sevahn K., Brian C. DeFelice, Yan Jia, et al.. (2024). Deconvolution of Human Urine across the Transcriptome and Metabolome. Clinical Chemistry. 70(11). 1344–1354. 5 indexed citations

Ho, Po-Yi, Taylor H. Nguyen, Juan M. Sánchez, Brian C. DeFelice, & Kerwyn Casey Huang. (2024). Resource competition predicts assembly of gut bacterial communities in vitro. Nature Microbiology. 9(4). 1036–1048. 29 indexed citations

Elias, Joshua E., et al.. (2024). Rapid QC-MS: Interactive Dashboard for Synchronous Mass Spectrometry Data Acquisition Quality Control. Analytical Chemistry. 96(44). 17465–17470. 1 indexed citations

DeFelice, Brian C., et al.. (2023). Retroviral Infection and Commensal Bacteria Dependently Alter the Metabolomic Profile in a Sterile Organ. Viruses. 15(2). 386–386. 1 indexed citations

Tsusaka, Takeshi, Juan A. Osés-Prieto, Christina Lee, et al.. (2023). Non-specific recognition of histone modifications by H3K9bhb antibody. iScience. 26(7). 107235–107235. 9 indexed citations

Sarkar, Abby, Yinhua Jin, Brian C. DeFelice, et al.. (2022). Intermittent fasting induces rapid hepatocyte proliferation to restore the hepatostat in the mouse liver. eLife. 12. 17 indexed citations

Han, Shuo, Will Van Treuren, Curt R. Fischer, et al.. (2021). A metabolomics pipeline for the mechanistic interrogation of the gut microbiome. Nature. 595(7867). 415–420. 249 indexed citations breakdown →

10.

Vanderlinden, Lauren A., Brian C. DeFelice, Patrick M. Carry, et al.. (2021). The oxylipin profile is associated with development of type 1 diabetes: the Diabetes Autoimmunity Study in the Young (DAISY). Diabetologia. 64(8). 1785–1794. 14 indexed citations

11.

Zhang, Ying, Zhiguang Huo, Wenjie Zeng, et al.. (2021). Longitudinal Plasma Lipidome and Risk of Type 2 Diabetes in a Large Sample of American Indians With Normal Fasting Glucose: The Strong Heart Family Study. Diabetes Care. 44(12). 2664–2672. 23 indexed citations

12.

Vigers, Tim, Lauren A. Vanderlinden, Randi K. Johnson, et al.. (2021). A Mediation Approach to Discovering Causal Relationships between the Metabolome and DNA Methylation in Type 1 Diabetes. Metabolites. 11(8). 542–542. 1 indexed citations

13.

Vanderlinden, Lauren A., Randi K. Johnson, Brian C. DeFelice, et al.. (2020). Predictors of oxylipins in a healthy pediatric population. Pediatric Research. 89(6). 1530–1540. 11 indexed citations

14.

DeFelice, Brian C., Theresa L. Pedersen, Hanan Shorrosh, et al.. (2019). Utilizing cooled liquid chromatography and chemical derivatization to separate and quantify C3-epimers of 25-hydroxy vitamin D and low abundant 1α,25(OH)2D3: Application in a pediatric population. The Journal of Steroid Biochemistry and Molecular Biology. 197. 105519–105519. 4 indexed citations

15.

Cameron, Lindsay P., et al.. (2019). Chronic, Intermittent Microdoses of the Psychedelic N , N -Dimethyltryptamine (DMT) Produce Positive Effects on Mood and Anxiety in Rodents. ACS Chemical Neuroscience. 10(7). 3261–3270. 125 indexed citations

16.

DeFelice, Brian C. & Oliver Fiehn. (2018). Rapid LC-MS/MS quantification of cancer related acetylated polyamines in human biofluids. Talanta. 196. 415–419. 14 indexed citations

17.

Fahrmann, Johannes F., Dmitry Grapov, Kwanjeera Wanichthanarak, et al.. (2016). Integrated Metabolomics and Proteomics Highlight Altered Nicotinamide- and Polyamine Pathways in Lung Adenocarcinoma. Carcinogenesis. 38(3). bgw205–bgw205. 58 indexed citations

18.

Fahrmann, Johannes F., Kyoungmi Kim, Brian C. DeFelice, et al.. (2015). Investigation of Metabolomic Blood Biomarkers for Detection of Adenocarcinoma Lung Cancer. Cancer Epidemiology Biomarkers & Prevention. 24(11). 1716–1723. 59 indexed citations

19.

Wikoff, William R., Dmitry Grapov, Johannes F. Fahrmann, et al.. (2015). Metabolomic Markers of Altered Nucleotide Metabolism in Early Stage Adenocarcinoma. Cancer Prevention Research. 8(5). 410–418. 80 indexed citations

20.

Kind, Tobias, Kwang‐Hyeon Liu, Do Yup Lee, et al.. (2013). LipidBlast in silico tandem mass spectrometry database for lipid identification. Nature Methods. 10(8). 755–758. 744 indexed citations breakdown →

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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