Daniel J. Panyard

618 total citations
16 papers, 258 citations indexed

About

Daniel J. Panyard is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Daniel J. Panyard has authored 16 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Physiology and 4 papers in Epidemiology. Recurrent topics in Daniel J. Panyard's work include Metabolomics and Mass Spectrometry Studies (4 papers), Genetic Associations and Epidemiology (4 papers) and Alzheimer's disease research and treatments (4 papers). Daniel J. Panyard is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Genetic Associations and Epidemiology (4 papers) and Alzheimer's disease research and treatments (4 papers). Daniel J. Panyard collaborates with scholars based in United States, Sweden and United Kingdom. Daniel J. Panyard's co-authors include M Snyder, Bing Yu, Sterling C. Johnson, Corinne D. Engelman, Cynthia M. Carlsson, Yuetiva Deming, Sanjay Asthana, Qiongshi Lu, Burcu F. Darst and Xiaoyuan Zhong and has published in prestigious journals such as Science Advances, Metabolism and Journal of Alzheimer s Disease.

In The Last Decade

Daniel J. Panyard

13 papers receiving 258 citations

Peers

Daniel J. Panyard

PHYSI

GENET

RHEUM

EPIDE

Ângela Adamski da Silva Reis Brazil

Kefu Tang China

Mariana Dupont United States

Davide Castaldi Italy

Paolo Serra Italy

Jay L. Tomasiewicz United States

Yanan Shi China

Sabrina L. Mitchell United States

Riin Tamm Estonia

Idil Erte United Kingdom

Ângela Adamski da Silva Reis Brazil

Daniel J. Panyard

111 ×0.9

36 ×0.5

PHYSI

43 ×1.2

GENET

24 ×0.9

RHEUM

31 ×1.3

EPIDE

Citations per year, relative to Daniel J. Panyard Daniel J. Panyard (= 1×) peers Ângela Adamski da Silva Reis

Countries citing papers authored by Daniel J. Panyard

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Panyard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Panyard

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

All Works

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16 of 16 papers shown

Azizi, Zahra, Pik Fang Kho, Jiayan Zhou, et al.. (2025). Plasma proteomic signatures for type 2 diabetes and related traits in the UK Biobank cohort. Diabetes Research and Clinical Practice. 224. 112194–112194.

Kho, Pik Fang, Laurel Stell, Shirin Jimenez, et al.. (2025). Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans. Frontiers in Endocrinology. 15. 1492778–1492778. 1 indexed citations

Kho, Pik Fang, Daniela Zanetti, Fahim Abbasi, et al.. (2025). Cross-sectional, interventional, and causal investigation of insulin sensitivity using plasma proteomics in diverse populations. Metabolism. 169. 156263–156263.

Kho, Pik Fang, Jiayan Zhou, Daniel J. Panyard, et al.. (2024). Plasma proteomics and carotid intima-media thickness in the UK biobank cohort. Frontiers in Cardiovascular Medicine. 11. 1478600–1478600.

Shen, Xiaotao, Ryan Kellogg, Daniel J. Panyard, et al.. (2023). Multi-omics microsampling for the profiling of lifestyle-associated changes in health. Nature Biomedical Engineering. 8(1). 11–29. 46 indexed citations

Panyard, Daniel J., Yuetiva Deming, Burcu F. Darst, et al.. (2023). Liver-Specific Polygenic Risk Score Is Associated with Alzheimer’s Disease Diagnosis. Journal of Alzheimer s Disease. 92(2). 395–409. 6 indexed citations

Panyard, Daniel J., Yuetiva Deming, Erin M. Jonaitis, et al.. (2022). Cerebrospinal Fluid Sphingomyelins in Alzheimer’s Disease, Neurodegeneration, and Neuroinflammation1. Journal of Alzheimer s Disease. 90(2). 667–680. 7 indexed citations

Panyard, Daniel J., Bing Yu, & M Snyder. (2022). The metabolomics of human aging: Advances, challenges, and opportunities. Science Advances. 8(42). eadd6155–eadd6155. 76 indexed citations

Bartels, Christie M., Daniel J. Panyard, Andrea Gilmore‐Bykovskyi, et al.. (2021). Impact of a Rheumatology Clinic Protocol on Tobacco Cessation Quit Line Referrals. Arthritis Care & Research. 74(9). 1421–1429. 10 indexed citations

10.

Panyard, Daniel J., Burcu F. Darst, Yuetiva Deming, et al.. (2021). Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations. Communications Biology. 4(1). 63–63. 72 indexed citations

11.

Panyard, Daniel J., Yuetiva Deming, Tobey J. Betthauser, et al.. (2021). CSF sphingomyelin metabolites in Alzheimer’s disease, neurodegeneration, and neuroinflammation. Alzheimer s & Dementia. 17(S5). 1 indexed citations

12.

Panyard, Daniel J., et al.. (2021). Pilot proteomic analysis of cerebrospinal fluid in Alzheimer's disease. PROTEOMICS - CLINICAL APPLICATIONS. 15(2-3). e2000072–e2000072. 4 indexed citations

13.

Rose, Warren E., et al.. (2018). RNA expression profiling in sulfamethoxazole‐treated patients with a range of in vitro lymphocyte cytotoxicity phenotypes. Pharmacology Research & Perspectives. 6(2). e00388–e00388. 8 indexed citations

14.

Bartels, Christie M., Heather M. Johnson, Diane Lauver, et al.. (2018). Connecting Rheumatology Patients to Primary Care for High Blood Pressure: Specialty Clinic Protocol Improves Follow‐up and Population Blood Pressures. Arthritis Care & Research. 71(4). 461–470. 10 indexed citations

15.

Panyard, Daniel J., et al.. (2017). Bridging clinical researcher perceptions and health IT realities: A case study of stakeholder creep. International Journal of Medical Informatics. 110. 19–24. 7 indexed citations

16.

Vreede, Andrew P., et al.. (2017). Rheumatologists Modestly More Likely to Counsel Smokers in Visits Without Rheumatoid Arthritis Control. JCR Journal of Clinical Rheumatology. 23(5). 273–277. 10 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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