Joel E. Pacyna

549 total citations
26 papers, 206 citations indexed

About

Joel E. Pacyna is a scholar working on Public Health, Environmental and Occupational Health, Genetics and General Health Professions. According to data from OpenAlex, Joel E. Pacyna has authored 26 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 12 papers in Genetics and 11 papers in General Health Professions. Recurrent topics in Joel E. Pacyna's work include BRCA gene mutations in cancer (11 papers), Genomics and Rare Diseases (9 papers) and Ethics in Clinical Research (6 papers). Joel E. Pacyna is often cited by papers focused on BRCA gene mutations in cancer (11 papers), Genomics and Rare Diseases (9 papers) and Ethics in Clinical Research (6 papers). Joel E. Pacyna collaborates with scholars based in United States and Israel. Joel E. Pacyna's co-authors include Richard R. Sharp, Cambray Smith, Susan Curtis, Jordan Richardson, Barbara Barry, Xuan Zhu, Erica J. Sutton, Iftikhar J. Kullo, Zubin Master and Carmen Radecki Breitkopf and has published in prestigious journals such as JAMA, Journal of the American Academy of Child & Adolescent Psychiatry and Journal of General Internal Medicine.

In The Last Decade

Joel E. Pacyna

25 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joel E. Pacyna United States 8 97 62 57 36 36 26 206
M.C. Ploem Netherlands 10 130 1.3× 43 0.7× 47 0.8× 21 0.6× 32 0.9× 53 253
Dang Khanh Ngan Ho Taiwan 9 78 0.8× 56 0.9× 25 0.4× 13 0.4× 31 0.9× 18 349
Eileen Koski United States 6 50 0.5× 29 0.5× 68 1.2× 76 2.1× 10 0.3× 17 237
Nina Varsava United States 3 139 1.4× 67 1.1× 58 1.0× 16 0.4× 34 0.9× 14 222
Katherine Gillespie United States 4 105 1.1× 62 1.0× 43 0.8× 10 0.3× 25 0.7× 7 186
Clive Collett United Kingdom 2 158 1.6× 66 1.1× 29 0.5× 21 0.6× 73 2.0× 2 219
Inez de Beaufort Netherlands 10 125 1.3× 60 1.0× 25 0.4× 16 0.4× 32 0.9× 28 298
Mitchell Tang United States 9 77 0.8× 96 1.5× 40 0.7× 30 0.8× 11 0.3× 15 244
Brandy Mapes United States 4 90 0.9× 70 1.1× 56 1.0× 6 0.2× 14 0.4× 7 240
Hank Greely United States 4 177 1.8× 55 0.9× 30 0.5× 13 0.4× 103 2.9× 8 236

Countries citing papers authored by Joel E. Pacyna

Since Specialization
Citations

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

Fields of papers citing papers by Joel E. Pacyna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel E. Pacyna. 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 Joel E. Pacyna. The network helps show where Joel E. Pacyna may publish in the future.

Co-authorship network of co-authors of Joel E. Pacyna

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

All Works

20 of 20 papers shown
1.
Chesak, Sherry S., Joel E. Pacyna, Richard R. Sharp, et al.. (2024). The Burnout PRedictiOn Using Wearable aNd ArtIficial IntelligEnce (BROWNIE) study: a decentralized digital health protocol to predict burnout in registered nurses. BMC Nursing. 23(1). 114–114. 6 indexed citations
2.
Curtis, Susan, et al.. (2023). 5.19 Physician Receptivity to the Use of Artificial Intelligence in the Diagnosis and Management of Psychiatric Illness. Journal of the American Academy of Child & Adolescent Psychiatry. 62(10). S264–S264. 1 indexed citations
3.
4.
Pacyna, Joel E., Amylou C. Dueck, George J. Chang, et al.. (2023). Lessons learned from conducting the first cancer care delivery trial in the Alliance for Clinical Trials in Oncology (Alliance A191402CD). Clinical Trials. 20(5). 559–563. 1 indexed citations
5.
Pacyna, Joel E., et al.. (2023). Examining the Impact of Polygenic Risk Information in Primary Care. Journal of Primary Care & Community Health. 14. 4277771926–4277771926. 2 indexed citations
6.
Pacyna, Joel E., et al.. (2021). Measuring Attitudes About Genomic Medicine: Validation of the Genomic Orientation Scale (GO Scale). Value in Health. 24(7). 1030–1037. 1 indexed citations
7.
Pacyna, Joel E., Gabriel Q. Shaibi, Alex Pui‐Wai Lee, et al.. (2021). Increasing access to individualized medicine: a matched-cohort study examining Latino participant experiences of genomic screening. Genetics in Medicine. 23(5). 934–941. 5 indexed citations
8.
Pacyna, Joel E., et al.. (2021). Patient-reported anticipated barriers and benefits to sharing cancer genetic risk information with family members. European Journal of Human Genetics. 30(1). 53–61. 7 indexed citations
9.
Pacyna, Joel E., et al.. (2020). Patient reactions to receiving negative genomic screening results by mail. Genetics in Medicine. 22(12). 1994–2002. 8 indexed citations
10.
Warsame, Rahma, Sarah M. Jenkins, Kandace A. Lackore, et al.. (2020). Responsibilities, Strategies, and Practice Factors in Clinical Cost Conversations: a US Physician Survey. Journal of General Internal Medicine. 35(7). 1971–1978. 8 indexed citations
11.
Pacyna, Joel E., et al.. (2020). Assessing the stability of biobank donor preferences regarding sample use: evidence supporting the value of dynamic consent. European Journal of Human Genetics. 28(9). 1168–1177. 12 indexed citations
12.
Lindor, Noralane M., Gabriel Q. Shaibi, Janet E. Olson, et al.. (2020). Challenges in returning results in a genomic medicine implementation study: the Return of Actionable Variants Empirical (RAVE) study. npj Genomic Medicine. 5(1). 19–19. 5 indexed citations
13.
Pacyna, Joel E., et al.. (2020). Neutral, Negative, or Negligible? Changes in Patient Perceptions of Disease Risk Following Receipt of a Negative Genomic Screening Result. Journal of Personalized Medicine. 10(2). 24–24. 5 indexed citations
14.
Pacyna, Joel E., et al.. (2019). Assessing optimism and pessimism about genomic medicine: Development of a genomic orientation scale. Clinical Genetics. 95(6). 704–712. 7 indexed citations
15.
Sutton, Erica J., Joel E. Pacyna, Matthew Hathcock, et al.. (2019). Managing the Unimaginable: Biobank Participant Views on Reconsent for Whole Genome Sequencing of Stored Biospecimens. Biopreservation and Biobanking. 17(4). 296–302. 3 indexed citations
16.
Warsame, Rahma, Sarah M. Jenkins, Kandace A. Lackore, et al.. (2019). US Physicians’ Reactions To ACA Implementation, 2012–17. Health Affairs. 38(9). 1530–1536. 2 indexed citations
17.
18.
Stephenson, Christopher R., Christopher M. Wittich, Joel E. Pacyna, et al.. (2018). Primary care physicians’ perceptions of practice improvement as a professional responsibility: a cross-sectional study. Medical Education Online. 23(1). 1474700–1474700. 5 indexed citations
19.
Holland, Diane E., et al.. (2015). Tracking Discharge Delays. Journal of Nursing Care Quality. 31(1). 17–23. 6 indexed citations
20.
Holland, Diane E., Catherine E. Vanderboom, Cory Ingram, et al.. (2014). The Feasibility of Using Technology to Enhance the Transition of Palliative Care for Rural Patients. CIN Computers Informatics Nursing. 32(6). 257–266. 17 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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