Uba Backonja

40 papers receiving 784 citations

Peers

Uba Backonja
Comparison fields: 5 of 115
  • Health Informatics 26
  • Applied Psychology 78
  • Human-Computer Interaction 79
  • Reproductive Medicine 108
  • General Health Professions 269
Replace Zhan Zhang with:
Zhan Zhang United States
Kathleen Lane United Kingdom
Mona Duggal India
Margaret Landers Ireland
Tsuyoshi Okuhara Japan
Meghan Reading Turchioe United States
Lorraine R Buis United States
Sudip Bhattacharya India
Allison Cole United States
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Citations per year

Countries citing papers authored by Uba Backonja

Since Specialization
Citations

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

Fields of papers citing papers by Uba Backonja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201672
2 201754
3 202044
4 201943
5 201343
6 201843
7 201836
8 201635
9 202031
10 201731
11 201630
12 201828
13 201924
14 201923
15 201421
16 201620
17 201719
18 202018
19 201618
20
Observations of daily living: putting the "personal" in personal health records.
201217

About Uba Backonja

Uba Backonja is a scholar working on General Health Professions, Health, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology and Reproductive Medicine, having authored 42 papers that have together received 807 indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (10 papers), Mobile Health and mHealth Applications (7 papers), Social Media in Health Education (7 papers), Endometriosis Research and Treatment (6 papers), Data Visualization and Analytics (4 papers), Public Health Policies and Education (4 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Health Informatics (26 citations), Applied Psychology (78 citations), Human-Computer Interaction (79 citations), Reproductive Medicine (108 citations) and General Health Professions (269 citations). Uba Backonja has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Diane Lauver, Germaine M. Buck Louis, Amanda K. Hall, Katherine Kim, Jordan Eschler, Sarah Fox, Amanda Menking, Wanda Pratt, George Demiris and Hilaire J. Thompson. Their work appears in journals such as Journal of the American Medical Informatics Association, CIN Computers Informatics Nursing, Journal of Nursing Scholarship, ACM Transactions on Computer-Human Interaction and Journal of Women s Health.

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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