Jonathan D’Angelo

43 papers receiving 868 citations

Peers

Jonathan D’Angelo
Comparison fields: 5 of 105
  • Communication 160
  • Applied Psychology 79
  • Sociology and Political Science 455
  • Information Systems and Management 64
  • Gender Studies 80
Replace Jiyoung Chae with:
Jiyoung Chae South Korea
Vivian C. Sheer Hong Kong
Jian Raymond Rui China
Erin K. Ruppel United States
Elizabeth L. Cohen United States
Robert E. Wilson United States
Jounghwa Choi South Korea
Anu Sirola Finland
Stella C. Chia Hong Kong
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Citations per year

Countries citing papers authored by Jonathan D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D’Angelo. 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 Jonathan D’Angelo. The network helps show where Jonathan D’Angelo may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan D’Angelo, 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 Jonathan D’Angelo Line = papers co-authored together Jonathan D’Angelo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012120
2 201488
3 201677
4 201273
5 201862
6 201359
7 201353
8 201451
9 201651
10 201320
11 201320
12 201719
13 202117
14 202016
15 202216
16 201415
17 201615
18 202011
19 201910
20 202110

About Jonathan D’Angelo

Jonathan D’Angelo is a scholar working on Sociology and Political Science, Gender Studies, Public Health, Environmental and Occupational Health, Communication and Education, having authored 47 papers that have together received 900 indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (13 papers), Diversity and Career in Medicine (7 papers), Innovations in Medical Education (6 papers), Social Media and Politics (5 papers), Surgical Simulation and Training (4 papers), Child Development and Digital Technology (4 papers), Technology Adoption and User Behaviour (4 papers) and Patient Safety and Medication Errors (3 papers). The work is most often cited by research in Communication (160 citations), Applied Psychology (79 citations), Sociology and Political Science (455 citations), Information Systems and Management (64 citations) and Gender Studies (80 citations). Jonathan D’Angelo has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Megan A. Moreno, Catalina L. Toma, Brandon Van Der Heide, Bradley Kerr, Douglas M. McLeod, Anne-Lise D. D’Angelo, Jennifer M. Whitehill, Jens C. Eickhoff, Christine E. Brady and Prabu David. Their work appears in journals such as Journal of surgical education, Surgery, The American Journal of Surgery, Computers in Human Behavior and Annals of Surgery.

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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