Peggy Peissig

8.3k citations

91 papers · 2.8k indexed · h-index 28

Co-authors: Joshua C. Denny Luke V. Rasmussen Catherine A. McCarty Jennifer A. Pacheco Richard L. Berg Abel Kho Christopher G. Chute Jyotishman Pathak
Topics: Biomedical Text Mining and Ontologies (22 papers)Genetic Associations and Epidemiology (20 papers)Machine Learning in Healthcare (15 papers)
Cited by: Health Information Management Health Informatics Artificial Intelligence
Journals: Nature Communications PLoS ONE Journal of Allergy and Clinical Immunology
Partner nations: United States Portugal Poland

In The Last Decade

Peggy Peissig

91 papers receiving 2.7k citations

Peers

Countries citing papers authored by Peggy Peissig

Since Specialization

Citations

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

Fields of papers citing papers by Peggy Peissig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peggy Peissig

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

#	Work	Indexed citations
1	Novel locus for atopic dermatitis in African Americans and replication in European Americans 2018 ·Journal of Allergy and Clinical Immunology ·Berta Almoguera,Lyam Vazquez,Frank Mentch,Michael March,John J. Connolly,Peggy Peissig,James G. Linneman,María del Carmen Plaza‐Seron,Maria Pino‐Yanes,Esteban G. Burchard,Murray H. Brilliant,Patrick Sleiman,Håkon Håkonarson	8
2	A Machine-Learning-Based Drug Repurposing Approach Using Baseline Regularization 2018 ·Methods in molecular biology ·(unknown),Yujia Bao,James Thomson,Michael D. Caldwell,Peggy Peissig,Ron Stewart,Rebecca Willett,David Page	14
3	Methodological Considerations for Comparison of Brand Versus Generic Versus Authorized Generic Adverse Event Reports in the US Food and Drug Administration Adverse Event Reporting System (FAERS) 2017 ·Clinical Drug Investigation ·(unknown),Yasser Alatawi,Ning Cheng,Jingjing Qian,Peggy Peissig,Richard L. Berg,David C. Page,Richard A. Hansen	11
4	Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application 2017 ·JMIR Medical Informatics ·Peggy Peissig,(unknown),(unknown),(unknown),(unknown),Catherine A. McCarty,(unknown),(unknown),Jennifer A. Pacheco,Jyotishman Pathak,Stephen B. Ellis,Joshua C. Denny,Luke V. Rasmussen,Gerard Tromp,Marc S. Williams,Tamara R. Vrabec,Murray H. Brilliant	2
5	Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data 2017 ·Yujia Bao,(unknown),Peggy Peissig,David Page,Rebecca Willett	5
6	Comparison of brand versus generic antiepileptic drug adverse event reporting rates in the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) 2017 ·Epilepsy Research ·(unknown),Yasser Alatawi,Ning Cheng,Jingjing Qian,(unknown),Peggy Peissig,Richard L. Berg,David Page,Richard A. Hansen	22
7	Practical considerations for implementing genomic information resources 2016 ·Applied Clinical Informatics ·Casey Lynnette Overby,John J. Connolly,Christopher G. Chute,Joshua C. Denny,Robert R. Freimuth,Andrea L. Hartzler,Ingrid A. Holm,Shannon Manzi,Jyotishman Pathak,Peggy Peissig,Maureen E. Smith,Marc S. Williams,Brian H. Shirts,Elena M. Stoffel,Peter Tarczy‐Hornoch,Carolyn R. Rohrer Vitek,Wendy A. Wolf,Justin Starren,Luke V. Rasmussen	22
8	eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants 2016 ·BMC Medical Genomics ·Anurag Verma,Shefali Setia-Verma,Sarah A. Pendergrass,Dana C. Crawford,David R. Crosslin,Helena Kuivaniemi,William S. Bush,Yuki Bradford,Iftikhar J. Kullo,Suzette J. Bielinski,Rongling Li,Joshua C. Denny,Peggy Peissig,Scott J. Hebbring,Mariza de Andrade,Marylyn D. Ritchie,Gerard Tromp	20
9	Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy 2015 ·Academic Radiology ·Elizabeth S. Burnside,Jie Liu,Yirong Wu,Adedayo A. Onitilo,Catherine A. McCarty,C. David Page,Peggy Peissig,Amy Trentham‐Dietz,Terrie Kitchner,Jun Fan,Ming Yuan	10
10	A GWAS Study on Liver Function Test Using eMERGE Network Participants 2015 ·PLoS ONE ·Bahram Namjou,Keith Marsolo,Todd Lingren,Marylyn D. Ritchie,Shefali S. Verma,Beth L. Cobb,(unknown),Terrie Kitchner,Murray H. Brilliant,Peggy Peissig,Kenneth M. Borthwick,Marc S. Williams,Jane Grafton,Gail P. Jarvik,Ingrid A. Holm,John B. Harley	15
11	Developing a clinical utility framework to evaluate prediction models in radiogenomics 2015 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Yirong Wu,Jie Liu,Alejandro Muñoz del Río,David C. Page,Oğuzhan Alagöz,Peggy Peissig,Adedayo A. Onitilo,Elizabeth S. Burnside	4
12	Practical challenges in integrating genomic data into the electronic health record 2013 ·Genetics in Medicine ·Abel Kho,Luke V. Rasmussen,John J. Connolly,Peggy Peissig,Justin Starren,Håkon Håkonarson,M. Geoffrey Hayes	69
13	A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects 2013 ·Human Genetics ·Khader Shameer,Joshua C. Denny,Keyue Ding,Hayan Jouni,David R. Crosslin,Mariza de Andrade,Christopher G. Chute,Peggy Peissig,Jennifer A. Pacheco,Rongling Li,Lisa Bastarache,Abel Kho,Marylyn D. Ritchie,Daniel R. Masys,Rex L. Chisholm,Eric B. Larson,Catherine A. McCarty,Dan M. Roden,Gail P. Jarvik,Iftikhar J. Kullo	98
14	Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network 2013 ·Journal of the American Medical Informatics Association ·Katherine M. Newton,Peggy Peissig,(unknown),Suzette J. Bielinski,Richard L. Berg,Vijaya Choudhary,Melissa Basford,Christopher G. Chute,Iftikhar J. Kullo,R. Li,Jennifer A. Pacheco,Luke V. Rasmussen,Leslie Spangler,Joshua C. Denny	281
15	Characterization of Statin Dose Response in Electronic Medical Records 2013 ·Clinical Pharmacology & Therapeutics ·(unknown),QiPing Feng,Lan Jiang,(unknown),Otito F. Iwuchukwu,Dan M. Roden,Min Jiang,Hua Xu,Ronald M. Krauss,JI Rotter,Deborah A. Nickerson,Robert L. Davis,Richard L. Berg,Peggy Peissig,Catherine A. McCarty,Russell A. Wilke,Joshua C. Denny	25
16	Discovering latent structure in clinical databases 2011 ·Lirias (KU Leuven) ·Jesse Davis,Elizabeth Berg,David Page,Vı́tor Santos Costa,Peggy Peissig,Michael D. Caldwell	2
17	Cataract research using electronic health records 2011 ·BMC Ophthalmology ·Carol Waudby,Richard L. Berg,James G. Linneman,Luke V. Rasmussen,Peggy Peissig,(unknown),Catherine A. McCarty	30
18	Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study 2011 ·Journal of the American Medical Informatics Association ·Abel Kho,M. Geoffrey Hayes,Laura J. Rasmussen‐Torvik,Jennifer A. Pacheco,William K. Thompson,Loren L. Armstrong,Joshua C. Denny,Peggy Peissig,Aaron W. Miller,Wei‐Qi Wei,Suzette J. Bielinski,Christopher G. Chute,Cynthia L. Leibson,Gail P. Jarvik,David R. Crosslin,Christopher S. Carlson,Katherine M. Newton,Wendy A. Wolf,Rex L. Chisholm,William L. Lowe	216
19	Use of an Electronic Medical Record for the Identification of Research Subjects with Diabetes Mellitus 2007 ·Clinical Medicine & Research ·Russell A. Wilke,Richard L. Berg,Peggy Peissig,Terrie Kitchner,(unknown),Catherine A. McCarty,Daniel J. McCarty	62
20	Epidemiologic research in an integrated regional medical care system: The Marshfield Epidemiologic Study Area 1996 ·Journal of Clinical Epidemiology ·Frank DeStefano,Elaine D. Eaker,Steven K. Broste,David L. Nordstrom,Peggy Peissig,Robert A. Vierkant,(unknown),(unknown),Peter M. Layde	84

About Peggy Peissig

Peggy Peissig is a scholar working on Health Information Management, Toxicology and Genetics, having authored 91 papers that have together received 2.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (22 papers), Genetic Associations and Epidemiology (20 papers) and Machine Learning in Healthcare (15 papers). The work is most often cited by research in Health Information Management (531 citations), Health Informatics (78 citations) and Artificial Intelligence (844 citations). Peggy Peissig has collaborated with scholars based in United States, Portugal and Poland. Frequent co-authors include Joshua C. Denny, Luke V. Rasmussen, Catherine A. McCarty, Jennifer A. Pacheco, Richard L. Berg, Abel Kho, Christopher G. Chute, Jyotishman Pathak, Iftikhar J. Kullo and Suzette J. Bielinski. Their work appears in journals such as Nature Communications, PLoS ONE and Journal of Allergy and Clinical Immunology.

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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