Annice E Kim
Impact in
- Physiology top 1%
- Smoking Behavior and Cessation
- Health top 5%
- Social Media in Health Education
Papers in
- Physiology 52
- Smoking Behavior and Cessation 52
- Health 5
- Social Media in Health Education 4
- Co-authors
- James M. Nonnemaker (29 shared papers)Youn Ok Lee (11 shared papers)Jennifer C. Duke (8 shared papers)Kristin Y. Arnold (3 shared papers)Matthew C. Farrelly (10 shared papers)Lauren Porter (7 shared papers)Brett R. Loomis (7 shared papers)Heather M. Hansen (6 shared papers)
- Journals
- Journal of Medical Internet Research (7 papers)Tobacco Control (7 papers)American Journal of Preventive Medicine (4 papers)American Journal of Public Health (3 papers)PEDIATRICS (3 papers)
- Partner nations
- United StatesUganda
In The Last Decade
Annice E Kim
60 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 121
- Physiology 1.8k
- Health 161
- Communication 99
- General Health Professions 220
- Oncology 181
Countries citing papers authored by Annice E Kim
This map shows the geographic impact of Annice E Kim'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 Annice E Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annice E Kim more than expected).
Fields of papers citing papers by Annice E Kim
This network shows the impact of papers produced by Annice E Kim. 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 Annice E Kim. The network helps show where Annice E Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Annice E Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 252 | |
| 2 | 2014 | 202 | |
| 3 | 2010 | 182 | |
| 4 | 1998 | 159 | |
| 5 | 2014 | 148 | |
| 6 | 2015 | 140 | |
| 7 | 2015 | 138 | |
| 8 | 2013 | 120 | |
| 9 | 2011 | 107 | |
| 10 | 2014 | 95 | |
| 11 | 2013 | 78 | |
| 12 | 2015 | 76 | |
| 13 | 2014 | 75 | |
| 14 | 2010 | 74 | |
| 15 | 2017 | 62 | |
| 16 | 2013 | 61 | |
| 17 | 2012 | 60 | |
| 18 | 2001 | 53 | |
| 19 | 2014 | 52 | |
| 20 | 2017 | 49 |
About Annice E Kim
Annice E Kim is a scholar working on Physiology, Health, Artificial Intelligence, Oncology and Public Health, Environmental and Occupational Health, having authored 63 papers that have together received 2.9k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (52 papers), Social Media in Health Education (4 papers), Survey Methodology and Nonresponse (3 papers), Global Cancer Incidence and Screening (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Authorship Attribution and Profiling (2 papers), Mental Health via Writing (2 papers) and Race, Genetics, and Society (1 paper). The work is most often cited by research in Physiology (1.8k citations), Health (161 citations), Communication (99 citations), General Health Professions (220 citations) and Oncology (181 citations). Annice E Kim has collaborated with scholars based in United States and Uganda. Frequent co-authors include James M. Nonnemaker, Youn Ok Lee, Jennifer C. Duke, Kristin Y. Arnold, Matthew C. Farrelly, Lauren Porter, Brett R. Loomis, Heather M. Hansen, Jane Appleyard Allen and Jay M. Dintaman. Their work appears in journals such as Journal of Medical Internet Research, Tobacco Control, American Journal of Preventive Medicine, American Journal of Public Health and PEDIATRICS.
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.