Jennifer Kang
- Human-Computer Interaction top 5%
- Epidemiology
- Genetics top 10%
- General Health Professions
- Biomedical Engineering
- Co-authors
- David L. KaplanJeffrey M. GimbleSean A. MunsonJames FogartyDaniel A. EpsteinJessica SchroederLaura R. PinaJulie A. Kientz
- Topics
- Glioma Diagnosis and Treatment (4 papers)Epilepsy research and treatment (3 papers)Muscle Physiology and Disorders (2 papers)
- Journals
- CirculationJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesSpainPoland
In The Last Decade
Jennifer Kang
26 papers receiving 562 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Human-Computer Interaction 126
- Epidemiology 83
- Genetics 80
- General Health Professions 73
- Biomedical Engineering 69
Countries citing papers authored by Jennifer Kang
This map shows the geographic impact of Jennifer Kang'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 Jennifer Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Kang more than expected).
Fields of papers citing papers by Jennifer Kang
This network shows the impact of papers produced by Jennifer Kang. 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 Jennifer Kang. The network helps show where Jennifer Kang may publish in the future.
Co-authorship network of co-authors of Jennifer Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Kang. A scholar is included among the top collaborators of Jennifer Kang 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 Jennifer Kang. Jennifer Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 33 | |
| 9 | 2 | |
| 10 | Examining Menstrual Tracking to Inform the Design of Personal Informatics Toolsbreakdown → | 241 |
| 11 | 23 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | A health center controlled network's experience in ambulatory care EHR implementation. | 5 |
| 15 | 116 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | [Changes of auditory brainstem response and auditory cortex response after exposure to intensive noise]. | 0 |
| 20 | Radioimmunoassay for antibodies to human skeletal muscle myosin in serum from patients with polymyositis. | 28 |
About Jennifer Kang
Jennifer Kang is a scholar working on Genetics, Geriatrics and Gerontology and Neurology, having authored 29 papers that have together received 579 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Epilepsy research and treatment (3 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Human-Computer Interaction (126 citations), Applied Psychology (49 citations) and Genetics (80 citations). Jennifer Kang has collaborated with scholars based in United States, Spain and Poland. Frequent co-authors include David L. Kaplan, Jeffrey M. Gimble, Sean A. Munson, James Fogarty, Daniel A. Epstein, Jessica Schroeder, Laura R. Pina, Julie A. Kientz, Elena Agapie and Cory Adamson. Their work appears in journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.