Kim
Impact in
-
- Technology Adoption and User Behaviour
- Communication top 10%
Papers in
- Co-authors
- Seo (2 shared papers)Lee (2 shared papers)M A Fletcher (1 shared paper)Seung‐June Oh (1 shared paper)Choi (1 shared paper)Young Wook Choi (1 shared paper)Moon Moon (1 shared paper)Dae-Ryong Jung (1 shared paper)
- Journals
- MIS Quarterly (1 paper)Histopathology (1 paper)International Journal of Nanomedicine (1 paper)International Journal of Molecular Medicine (1 paper)British Journal of Urology (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Kim
12 papers receiving 654 citations
Kim's Hit Papers
Peers
Comparison fields: 5 of 89
- Information Systems and Management 232
- Communication 66
- Sociology and Political Science 403
- Marketing 64
- Hematology 60
Countries citing papers authored by Kim
This map shows the geographic impact of 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 Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim more than expected).
Fields of papers citing papers by Kim
This network shows the impact of papers produced by 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 Kim. The network helps show where Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside 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
| # | Work | ||
|---|---|---|---|
| 1 | Internet Users’ Information Privacy-Protective Responses: A Taxonomy and a Nomological MODEL1 Hit paper breakdown → | 2008 | 471 |
| 2 | 2011 | 71 | |
| 3 | 1998 | 61 | |
| 4 | 1999 | 39 | |
| 5 | 2011 | 25 | |
| 6 | 1999 | 15 | |
| 7 | Effect of tamsulosin on ejaculatory function in BPH/LUTS | 2011 | 10 |
| 8 | 2010 | 7 | |
| 9 | 2013 | 4 | |
| 10 | Early bile duct cancer | 2007 | 1 |
| 11 | Diagnosis of gastrointestinal bleeding: A practical guide for clinicians | 2014 | 1 |
| 12 | Berberine inhibits inflammatory activation of rat brain microglia | 2010 | 1 |
| 13 | Tooth regeneration： a revolution in stomatology and evolution in regenerative medicine | 2011 | 0 |
About Kim
Kim is a scholar working on Urology, Surgery, Pulmonary and Respiratory Medicine, Hematology and Molecular Biology, having authored 13 papers that have together received 706 indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (2 papers), Platelet Disorders and Treatments (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Metastasis and carcinoma case studies (1 paper), Dental Implant Techniques and Outcomes (1 paper), Hormonal and reproductive studies (1 paper), Hate Speech and Cyberbullying Detection (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Information Systems and Management (232 citations), Communication (66 citations), Sociology and Political Science (403 citations), Marketing (64 citations) and Hematology (60 citations). Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seo, Lee, M A Fletcher, Seung‐June Oh, Choi, Young Wook Choi, Moon Moon, Dae-Ryong Jung, Mao Mao and Sang Sang. Their work appears in journals such as MIS Quarterly, Histopathology, International Journal of Nanomedicine, International Journal of Molecular Medicine and British Journal of Urology.
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.