Jennifer A. Pacheco

9.1k citations

63 papers · 2.2k indexed · h-index 22

Health Information Management top 0.1%
- Electronic Health Records Systems 14
- Artificial Intelligence in Healthcare 4
Health Informatics top 2%
Computational Mathematics top 10%
Artificial Intelligence top 2%
- Machine Learning in Healthcare 15
- Semantic Web and Ontologies 4
Issues, ethics and legal aspects top 5%
Molecular Biology
- Biomedical Text Mining and Ontologies 27
Genetics
- Genetic Associations and Epidemiology 10
- Genomics and Rare Diseases 5
Information Systems and Management
- Scientific Computing and Data Management 7

Co-authors: Joshua C. Denny Luke V. Rasmussen Peggy Peissig Abel Kho Christopher G. Chute Jyotishman Pathak Suzette J. Bielinski Katherine M. Newton
Cited by: Health Information Management Health Informatics Computational Mathematics
Journals: Gastroenterology (1 paper)Journal of the American College of Cardiology (1 paper)PLoS ONE (1 paper)
Partner nations: United States United Kingdom Philippines

In The Last Decade

Jennifer A. Pacheco

59 papers receiving 2.2k citations

Peers

Countries citing papers authored by Jennifer A. Pacheco

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer A. Pacheco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer A. Pacheco. 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 Jennifer A. Pacheco. The network helps show where Jennifer A. Pacheco may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jennifer A. Pacheco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jennifer A. Pacheco Line = papers co-authored together Jennifer A. Pacheco links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records Scientific Reports ·Jie Xu,Fei Wang,Chengxi Zang,Hao Zhang,Kellyann Niotis,Ava L. Liberman,Cynthia M. Stonnington,Makoto Ishii,Prakash Adekkanattu,Yuan Luo,Chengsheng Mao,Luke V. Rasmussen,Zhenxing Xu,Pascal Brandt,Jennifer A. Pacheco,Yifan Peng,Guoqian Jiang,Richard Isaacson,Jyotishman Pathak	2023	4
2	AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease Journal of Biomedical Informatics ·Chengsheng Mao,Jie Xu,Luke V. Rasmussen,Yikuan Li,Prakash Adekkanattu,Jennifer A. Pacheco,Borna Bonakdarpour,Robert Vassar,Shen Li,Guoqian Jiang,Fei Wang,Jyotishman Pathak,Yuan Luo	2023	29
3	Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study Scientific Reports ·Prakash Adekkanattu,Luke V. Rasmussen,Jennifer A. Pacheco,Joseph Kabariti,Daniel J. Stone,Yue Yu,Guoqian Jiang,Yuan Luo,Pascal Brandt,Zhenxing Xu,Veer Vekaria,Jie Xu,Fei Wang,Natalie C. Benda,Yifan Peng,Parag Goyal,Faraz S. Ahmad,Jyotishman Pathak	2023	10
4	Development and environment in the National Institute of Mental Health (NIMH) Research Domain Criteria. Journal of Psychopathology and Clinical Science ·Charles A. Sanislow,Sarah E. Morris,Bruce N. Cuthbert,Jennifer A. Pacheco	2022	15
5	Desiderata for the development of next-generation electronic health record phenotype libraries GigaScience ·Martin Chapman,Shahzad Mumtaz,Luke V. Rasmussen,Andreas Karwath,Georgios V. Gkoutos,Chuang Gao,Daniel Thayer,Jennifer A. Pacheco,Helen Parkinson,Rachel Richesson,Emily Jefferson,Spiros Denaxas,Vasa Ćurčin	2021	16
6	Pathogenic and Uncertain Genetic Variants Have Clinical Cardiac Correlates in Diverse Biobank Participants Journal of the American Heart Association ·Tess D. Pottinger,Megan J. Puckelwartz,Lorenzo L. Pesce,Avery Robinson,Samuel Kearns,Jennifer A. Pacheco,Laura J. Rasmussen‐Torvik,Maureen E. Smith,Rex L. Chisholm,Elizabeth M. McNally	2020	21
7	Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks Journal of Biomedical Informatics ·Zhenxing Xu,Jingyuan Chou,Xi Sheryl Zhang,Yuan Luo,Tamara Isakova,Prakash Adekkanattu,Jessica S. Ancker,Guoqian Jiang,Richard C. Kiefer,Jennifer A. Pacheco,Luke V. Rasmussen,Jyotishman Pathak,Fei Wang	2020	51
8	Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries Journal of Biomedical Informatics ·Na Hong,Andrew Wen,Daniel J. Stone,Shintaro Tsuji,Paul Kingsbury,Luke V. Rasmussen,Jennifer A. Pacheco,Prakash Adekkanattu,Fei Wang,Yuan Luo,Jyotishman Pathak,Hongfang Liu,Guoqian Jiang	2019	41
9	Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care Studies in health technology and informatics ·Zhenxing Xu,Yuan Luo,Prakash Adekkanattu,Jessica S. Ancker,Guoqian Jiang,Richard C. Kiefer,Jennifer A. Pacheco,Luke V. Rasmussen,Jyotishman Pathak,Fei Wang	2019	12
10	Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application JMIR Medical Informatics ·Peggy Peissig,Kelsey M. Schwei,Christopher Kadolph,Joseph Finamore,Efrain Cancel,Catherine A. McCarty,Asha Okorie,Kate L Thomas,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	2017	2
11	Apolipoprotein L1 Variants and Blood Pressure Traits in African Americans Journal of the American College of Cardiology ·Girish N. Nadkarni,Geneviève Galarneau,Stephen B. Ellis,Rajiv Nadukuru,Jinglan Zhang,Stuart A. Scott,Claudia Schurmann,Rongling Li,Laura J. Rasmussen‐Torvik,Abel Kho,M. Geoffrey Hayes,Jennifer A. Pacheco,Teri A. Manolio,Rex L. Chisholm,Dan M. Roden,Joshua C. Denny,Eimear E. Kenny,Erwin P. Böttinger	2017	45
12	A Machine Learning Algorithm for Identifying Atopic Dermatitis in Adults from Electronic Health Records PubMed ·Erin Gustafson,Jennifer A. Pacheco,Firas Wehbe,Jonathan I. Silverberg,William K. Thompson	2017	42
13	Adverse events after surgery for nonmalignant colon polyps are common and associated with increased length of stay and costs Gastrointestinal Endoscopy ·Rajesh N. Keswani,Ryan Law,Jody D. Ciolino,(unknown),Adam B. Gluskin,David J. Bentrem,Sri Komanduri,Jennifer A. Pacheco,David Grande,William K. Thompson	2016	58
14	Harmonization of Quality Data Model with HL7 FHIR to Support EHR-driven Phenotype Authoring and Execution: A Pilot Study. AMIA ·Guoqian Jiang,Harold R. Solbrig,Richard C. Kiefer,Luke V. Rasmussen,Huan Mo,Jennifer A. Pacheco,Enid Montague,Xu Jie,Peter Speltz,William K. Thompson,Joshua C. Denny,Christopher G. Chute,Jyotishman Pathak	2015	2
15	Evaluation of Existing Phenotype Authoring Tools for Clinical Research. AMIA ·Luke V. Rasmussen,Jie Xu,Ruijue Liu,Qian Zhu,Jennifer A. Pacheco,Jyotishman Pathak,William K. Thompson,Joshua C. Denny,Huan Mo,Richard C. Kiefer,Peter Speltz,Enid Montague	2014	1
16	Design patterns for the development of electronic health record-driven phenotype extraction algorithms Journal of Biomedical Informatics ·Luke V. Rasmussen,Will Thompson,Jennifer A. Pacheco,Abel Kho,David Carrell,Jyotishman Pathak,Peggy Peissig,Gerard Tromp,Joshua C. Denny,Justin Starren	2014	39
17	A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects 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	2013	98
18	Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network Journal of the American Medical Informatics Association ·Katherine M. Newton,Peggy Peissig,A. N. Kho,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	2013	281
19	Portability of an algorithm to identify rheumatoid arthritis in electronic health records Journal of the American Medical Informatics Association ·Robert J. Carroll,Will K Thompson,Anne E. Eyler,Arthur M. Mandelin,Tianxi Cai,Raquel Zink,Jennifer A. Pacheco,Chad S. Boomershine,Thomas A. Lasko,Hua Xu,Elizabeth W. Karlson,Raul Guzman Perez,Vivian S. Gainer,Shawn N. Murphy,Eric Ruderman,Richard M. Pope,Robert M. Plenge,Abel Kho,Katherine P. Liao,Joshua C. Denny	2012	172
20	Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study 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	2011	216

About Jennifer A. Pacheco

Jennifer A. Pacheco is a scholar working on Health Information Management, Information Systems and Management and Issues, ethics and legal aspects, having authored 63 papers that have together received 2.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (27 papers), Machine Learning in Healthcare (15 papers), Electronic Health Records Systems (14 papers), Genetic Associations and Epidemiology (10 papers), Scientific Computing and Data Management (7 papers), Genomics and Rare Diseases (5 papers), Artificial Intelligence in Healthcare (4 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Health Information Management (521 citations), Health Informatics (65 citations) and Computational Mathematics (16 citations). Jennifer A. Pacheco has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include Joshua C. Denny, Luke V. Rasmussen, Peggy Peissig, Abel Kho, Christopher G. Chute, Jyotishman Pathak, Suzette J. Bielinski, Katherine M. Newton, Iftikhar J. Kullo and Rex L. Chisholm. Their work appears in journals such as Gastroenterology, Journal of the American College of Cardiology and PLoS ONE.

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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