Anna Kim
Impact in
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- Traditional Chinese Medicine Studies
Papers in
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- Traditional Chinese Medicine Studies 8
-
- Biomedical Text Mining and Ontologies 3
- Co-authors
- Helen Haugh (2 shared papers)Pratima Bansal (2 shared papers)Lin Ang (3 shared papers)Myeong Soo Lee (3 shared papers)Hye Won Lee (3 shared papers)Hyunchul Jang (10 shared papers)Sang‐Kyun Kim (6 shared papers)Jeong-Ju Lee (2 shared papers)
- Journals
- Korean journal of anesthesiology (2 papers)Academy of Management Journal (1 paper)Complementary Therapies in Clinical Practice (1 paper)BMJ Open (1 paper)Bioinformatics (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Anna Kim
38 papers receiving 398 citations
Peers
Comparison fields: 5 of 118
- Complementary and alternative medicine 64
- Business and International Management 14
- Pharmacology 47
- Marketing 36
- Strategy and Management 49
Countries citing papers authored by Anna Kim
This map shows the geographic impact of Anna 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 Anna Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Kim more than expected).
Fields of papers citing papers by Anna Kim
This network shows the impact of papers produced by Anna 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 Anna Kim. The network helps show where Anna Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 111 | |
| 2 | 2015 | 56 | |
| 3 | 2020 | 46 | |
| 4 | 2020 | 45 | |
| 5 | 2015 | 21 | |
| 6 | 2010 | 16 | |
| 7 | 2024 | 13 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2014 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2017 | 6 | |
| 15 | Combined protocol for SAM/MAM treatment: The ComPAS study | 2016 | 6 |
| 16 | 2021 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 2016 | 4 | |
| 19 | 2014 | 4 | |
| 20 | 2017 | 4 |
About Anna Kim
Anna Kim is a scholar working on Complementary and alternative medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Pharmacology and General Health Professions, having authored 48 papers that have together received 417 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (8 papers), Healthcare and Venom Research (4 papers), Psychosocial Factors Impacting Youth (3 papers), Diverse Approaches in Healthcare and Education Studies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Health and Wellbeing Research (2 papers), Education and Learning Interventions (2 papers) and Intergenerational Family Dynamics and Caregiving (2 papers). The work is most often cited by research in Complementary and alternative medicine (64 citations), Business and International Management (14 citations), Pharmacology (47 citations), Marketing (36 citations) and Strategy and Management (49 citations). Anna Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Helen Haugh, Pratima Bansal, Lin Ang, Myeong Soo Lee, Hye Won Lee, Hyunchul Jang, Sang‐Kyun Kim, Jeong-Ju Lee, Ju Ah Lee and Junhua Zhang. Their work appears in journals such as Korean journal of anesthesiology, Academy of Management Journal, Complementary Therapies in Clinical Practice, BMJ Open and Bioinformatics.
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.