Joel E. Pacyna

549 citations
26 papers · 206 · h-index 8

Impact in

Papers in

Joel E. Pacyna

25 papers receiving 201 citations

Peers

Joel E. Pacyna
Comparison fields: 5 of 61
  • Health Informatics 36
  • Public Health, Environmental and Occupational Health 97
  • General Health Professions 62
  • Family Practice 5
  • Genetics 57
Replace M.C. Ploem with:
M.C. Ploem Netherlands
Katherine Gillespie United States
Eileen Koski United States
Nina Varsava United States
Clive Collett United Kingdom
Dang Khanh Ngan Ho Taiwan
Gesine Richter Germany
Mitchell Tang United States
Hank Greely United States
Brandy Mapes United States
Joel E. Pacyna relative to M.C. Ploem Netherlands M.C. Ploem's profile →
Citations per field
00.5×1.7×
M.C. Ploem · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Joel E. Pacyna, 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 Joel E. Pacyna Line = papers co-authored together Joel E. Pacyna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202244
2 201925
3 201417
4 201816
5 202012
6 20189
7 20208
8 20208
9 20197
10 20217
11 20156
12 20246
13 20215
14 20205
15 20205
16 20185
17 20215
18 20214
19 20193
20 20192

About Joel E. Pacyna

Joel E. Pacyna is a scholar working on Public Health, Environmental and Occupational Health, Genetics, General Health Professions, Economics and Econometrics and Sociology and Political Science, having authored 26 papers that have together received 206 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (11 papers), Genomics and Rare Diseases (9 papers), Ethics in Clinical Research (6 papers), Patient-Provider Communication in Healthcare (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Biomedical Ethics and Regulation (3 papers), Telemedicine and Telehealth Implementation (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (36 citations), Public Health, Environmental and Occupational Health (97 citations), General Health Professions (62 citations), Family Practice (5 citations) and Genetics (57 citations). Joel E. Pacyna has collaborated with scholars based in United States and Israel. Frequent co-authors include Richard R. Sharp, Cambray Smith, Barbara Barry, Jordan Richardson, Susan Curtis, Xuan Zhu, Iftikhar J. Kullo, Erica J. Sutton, Carmen Radecki Breitkopf and Zubin Master. Their work appears in journals such as European Journal of Human Genetics, Genetics in Medicine, Journal of Primary Care & Community Health, Christian bioethics Non-Ecumenical Studies in Medical Morality and Journal of Personalized Medicine.

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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