Kim

12 papers receiving 706 citations

Hit Papers

Internet Users’ Information Privacy-Protective Responses: A Taxonomy and a Nomological MODEL1 2008 · 439 citations
4390+6+12Years since publication100200300400

Peers

Kim
Comparison fields: 5 of 100
  • Information Systems and Management 269
  • Communication 84
  • Sociology and Political Science 418
  • Marketing 62
  • Management Information Systems 54
Replace Thomas Lauer with:
Thomas Lauer United States
Ada Chen United States
June‐Young Koh South Korea
Xiaojun Yuan United States
Ejaz Ahmed Pakistan
Indu Ramachandran United States
Judith Gebauer Germany
Minh Q. Huynh United States
Jennifer King United States
Hongyi Mao China
Kim relative to Thomas Lauer United States Thomas Lauer's profile →
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Citations per year

Countries citing papers authored by Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kim Line = papers co-authored together Kim links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Internet Users’ Information Privacy-Protective Responses: A Taxonomy and a Nomological MODEL1
Hit paper breakdown →
2008439
2 2010108
3 201167
4 199856
5 199939
6 201123
7 199915
8 20107
9 20134
10
Berberine inhibits inflammatory activation of rat brain microglia
20101
11
Diagnosis of gastrointestinal bleeding: A practical guide for clinicians
20141
12
Early bile duct cancer
20071
13
Tooth regeneration: a revolution in stomatology and evolution in regenerative medicine
20110

About Kim

Kim is a scholar working on Surgery, Molecular Biology, Urology, Pulmonary and Respiratory Medicine and Hematology, having authored 13 papers that have together received 761 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (2 papers), MicroRNA in disease regulation (1 paper), Allergic Rhinitis and Sensitization (1 paper), Dental Implant Techniques and Outcomes (1 paper), Dermatology and Skin Diseases (1 paper), Cell Adhesion Molecules Research (1 paper), Plasmonic and Surface Plasmon Research (1 paper) and Urinary Bladder and Prostate Research (1 paper). The work is most often cited by research in Information Systems and Management (269 citations), Communication (84 citations), Sociology and Political Science (418 citations), Marketing (62 citations) and Management Information Systems (54 citations). Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Son Son, Grover, Seo, Lee, M A Fletcher, Seung‐June Oh, Choi, Young Wook Choi, Moon Moon and Moon. Their work appears in journals such as MIS Quarterly, Histopathology, International Journal of Molecular Medicine, British Journal of Urology and Transfusion Medicine.

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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