Daniel Raftery

22.1k total citations · 6 hit papers
313 papers, 15.8k citations indexed

About

Daniel Raftery is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Daniel Raftery has authored 313 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Molecular Biology, 87 papers in Spectroscopy and 53 papers in Physiology. Recurrent topics in Daniel Raftery's work include Metabolomics and Mass Spectrometry Studies (144 papers), Advanced NMR Techniques and Applications (43 papers) and Diet and metabolism studies (38 papers). Daniel Raftery is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (144 papers), Advanced NMR Techniques and Applications (43 papers) and Diet and metabolism studies (38 papers). Daniel Raftery collaborates with scholars based in United States, China and South Africa. Daniel Raftery's co-authors include G. A. Nagana Gowda, Haiwei Gu, Danijel Djukovic, Narasimhamurthy Shanaiah, Zhengzheng Pan, Shucha Zhang, Vincent M. Asiago, David S. Wishart, Remo Hochstrasser and Jeffrey C. Owrutsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Daniel Raftery

306 papers receiving 15.6k citations

Hit Papers

5 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.

NMR Spectroscopy for Metabolomics Research

2019 721 citations Abdul‐Hamid Emwas, Raja Roy et al. Metabolites profile →
The future of NMR-based metabolomics

2016 615 citations Arthur S. Edison, Hamid R. Eghbalnia et al. profile →
Metabolomics-based methods for early disease diagnostics

2008 526 citations G. A. Nagana Gowda, Haiwei Gu et al. profile →
Vibrational Relaxation Dynamics in Solutions

1994 504 citations Daniel Raftery et al. profile →
Visible Light Driven V-Doped TiO₂ Photocatalyst and Its Photooxidation of Ethanol

2001 500 citations Daniel Raftery et al. profile →
Detection of Succinate by Intestinal Tuft Cells Triggers a Type 2 Innate Immune Circuit

2018 374 citations G. A. Nagana Gowda, Daniel Raftery et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Raftery United States	65	8.3k	2.9k	1.9k	1.7k	1.5k	313	15.8k
John L. Markley United States	72	20.1k 2.4×	4.9k 1.7×	1.2k 0.6×	5.2k 3.0×	858 0.6×	507	27.9k
Ronald P. Mason United States	97	12.4k 1.5×	1.3k 0.4×	5.6k 2.9×	2.5k 1.5×	1.2k 0.8×	659	33.3k
Claudio Luchinat Italy	77	12.1k 1.5×	7.0k 2.4×	1.3k 0.7×	6.7k 3.9×	1.0k 0.7×	696	23.7k
Lloyd M. Smith United States	64	10.8k 1.3×	3.7k 1.3×	1.3k 0.7×	1.4k 0.8×	3.3k 2.3×	349	21.8k
Jean Cadet France	86	16.6k 2.0×	1.2k 0.4×	943 0.5×	2.5k 1.4×	1.8k 1.2×	469	26.6k
Joseph A. Loo United States	82	11.8k 1.4×	10.7k 3.6×	2.2k 1.1×	1.4k 0.8×	2.7k 1.8×	346	23.8k
John E. Walker United Kingdom	100	30.8k 3.7×	1.4k 0.5×	3.3k 1.7×	2.7k 1.6×	648 0.4×	356	38.7k
Michael L. Gross United States	80	10.8k 1.3×	12.5k 4.3×	746 0.4×	2.2k 1.3×	1.5k 1.0×	714	24.8k
Dieter Leibfritz Germany	53	6.1k 0.7×	2.2k 0.7×	2.1k 1.1×	1.2k 0.7×	678 0.5×	269	20.3k
Teemu J. Murtola Finland	27	10.2k 1.2×	1.1k 0.4×	729 0.4×	3.0k 1.7×	2.0k 1.3×	139	20.5k

Countries citing papers authored by Daniel Raftery

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Raftery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Raftery

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Raftery. A scholar is included among the top collaborators of Daniel Raftery 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 Daniel Raftery. Daniel Raftery 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

Prentice, Ross L., Aaron K. Aragaki, Cheng Zheng, et al.. (2025). Energy intake is associated with dietary macronutrient densities: inversely with protein and monounsaturated fat and positively with polyunsaturated fat and carbohydrate among postmenopausal females. American Journal of Clinical Nutrition. 121(5). 1165–1175. 1 indexed citations

Harrison, Benjamin R., Danijel Djukovic, Matthew D. Dunbar, et al.. (2025). Protein Catabolites as Blood‐Based Biomarkers of Aging Physiology: Findings From the Dog Aging Project. Aging Cell. 24(11). e70226–e70226.

Gowda, G. A. Nagana, et al.. (2025). NMR-based metabolomics: Where are we now and where are we going?. Progress in Nuclear Magnetic Resonance Spectroscopy. 150-151. 101564–101564.

Fiorito, Giovanni, Valeria Tosti, Silvia Polidoro, et al.. (2024). Multi‐omic analysis of biological aging biomarkers in long‐term calorie restriction and endurance exercise practitioners: A cross‐sectional study. Aging Cell. 24(4). e14442–e14442. 4 indexed citations

Pallos, Judit, et al.. (2024). Natural variation in age-related dopamine neuron degeneration is glutathione dependent and linked to life span. Proceedings of the National Academy of Sciences. 121(42). e2403450121–e2403450121. 3 indexed citations

Navarro, Sandi L., Brian D. Williamson, Ying Huang, et al.. (2024). Metabolite Predictors of Breast and Colorectal Cancer Risk in the Women’s Health Initiative. Metabolites. 14(8). 463–463. 5 indexed citations

Gouveia, Gonçalo J., Leo L. Cheng, Chaevien Clendinen, et al.. (2024). Perspective: use and reuse of NMR-based metabolomics data: what works and what remains challenging. Metabolomics. 20(2). 41–41. 5 indexed citations

Plantinga, Anna, Kendra Kamp, Qinglong Wu, et al.. (2023). Exploration of associations among dietary tryptophan, microbiome composition and function, and symptom severity in irritable bowel syndrome. Neurogastroenterology & Motility. 35(5). e14545–e14545. 2 indexed citations

Nyangahu, Donald, Anna‐Ursula Happel, Yuli Wang, et al.. (2023). Bifidobacterium infantis associates with T cell immunity in human infants and is sufficient to enhance antigen-specific T cells in mice. Science Advances. 9(49). eade1370–eade1370. 9 indexed citations

10.

Navarro, Sandi L., G. A. Nagana Gowda, Lisa Bettcher, et al.. (2023). Demographic, Health and Lifestyle Factors Associated with the Metabolome in Older Women. Metabolites. 13(4). 514–514. 8 indexed citations

11.

Prentice, Ross L., Mary Pettinger, Cheng Zheng, et al.. (2022). Biomarkers for Components of Dietary Protein and Carbohydrate with Application to Chronic Disease Risk in Postmenopausal Women. Journal of Nutrition. 152(4). 1107–1117. 13 indexed citations

12.

Jewett, Kathryn A., Ruth E. Thomas, Chi Q. Phan, et al.. (2021). Glucocerebrosidase reduces the spread of protein aggregation in a Drosophila melanogaster model of neurodegeneration by regulating proteins trafficked by extracellular vesicles. PLoS Genetics. 17(2). e1008859–e1008859. 23 indexed citations

13.

Zhang, Xinyu, Daniel Raftery, Haiwei Gu, et al.. (2021). A Metabolomic Aging Clock Using Human Cerebrospinal Fluid. The Journals of Gerontology Series A. 77(4). 744–754. 29 indexed citations

14.

Neto, Fausto Carnevale & Daniel Raftery. (2021). Expanding Urinary Metabolite Annotation through Integrated Mass Spectral Similarity Networking. Analytical Chemistry. 93(35). 12001–12010. 28 indexed citations

15.

Zhang, Yuzheng, Sandi L. Navarro, Timothy W. Randolph, et al.. (2019). Proteomic Analysis of Plasma Reveals Fat Mass Influences Cancer-Related Pathways in Healthy Humans Fed Controlled Diets Differing in Glycemic Load. Cancer Prevention Research. 12(9). 567–578. 2 indexed citations

16.

Emwas, Abdul‐Hamid, Raja Roy, Ryan T. McKay, et al.. (2019). NMR Spectroscopy for Metabolomics Research. Metabolites. 9(7). 123–123. 721 indexed citations breakdown →

17.

Neto, Fausto Carnevale, Márcio Adriano Andréo, Daniel Raftery, et al.. (2019). Characterization of aporphine alkaloids by electrospray ionization tandem mass spectrometry and density functional theory calculations. Rapid Communications in Mass Spectrometry. 34(S3). e8533–e8533. 16 indexed citations

18.

Lim, Seung-Oe, Chia‐Wei Li, Weiya Xia, et al.. (2016). EGFR Signaling Enhances Aerobic Glycolysis in Triple-Negative Breast Cancer Cells to Promote Tumor Growth and Immune Escape. Cancer Research. 76(5). 1284–1296. 203 indexed citations

19.

Dai, Dao‐Fu, Pabalu P. Karunadharma, Ying Ann Chiao, et al.. (2014). Altered proteome turnover and remodeling by short‐term caloric restriction or rapamycin rejuvenate the aging heart. Aging Cell. 13(3). 529–539. 255 indexed citations

20.

Asiago, Vincent M., et al.. (2010). Early Detection of Recurrent Breast Cancer Using Metabolite Profiling. Cancer Research. 70(21). 8309–8318. 230 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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