In-Jeong Kim
- Epidemiology top 5%
- Oncology top 5%
- Immunology top 10%
- Infectious Diseases top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Marcia A. BlackmanDavid L. WoodlandEmilio FlañoJ. Μ. SharmaDario A.A. VignaliCreg J. WorkmanLinda S. CauleyFrank M. Szaba
- Topics
- Herpesvirus Infections and Treatments (9 papers)Viral-associated cancers and disorders (9 papers)Cytomegalovirus and herpesvirus research (8 papers)
- Cited by
- OncologyImmunologyEpidemiology
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
In-Jeong Kim
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Epidemiology 600
- Oncology 510
- Immunology 388
- Infectious Diseases 162
- Public Health, Environmental and Occupational Health 152
Countries citing papers authored by In-Jeong Kim
This map shows the geographic impact of In-Jeong 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 In-Jeong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In-Jeong Kim more than expected).
Fields of papers citing papers by In-Jeong Kim
This network shows the impact of papers produced by In-Jeong 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 In-Jeong Kim. The network helps show where In-Jeong Kim may publish in the future.
Co-authorship network of co-authors of In-Jeong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of In-Jeong Kim. A scholar is included among the top collaborators of In-Jeong Kim 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 In-Jeong Kim. In-Jeong Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 69 | |
| 5 | 6 | |
| 6 | 37 | |
| 7 | 42 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 0 | |
| 11 | 13 | |
| 12 | 271 | |
| 13 | 42 | |
| 14 | 73 | |
| 15 | 36 | |
| 16 | 77 | |
| 17 | 20 | |
| 18 | 13 | |
| 19 | 118 | |
| 20 | 72 |
About In-Jeong Kim
In-Jeong Kim is a scholar working on Epidemiology, Oncology and Infectious Diseases, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (9 papers), Viral-associated cancers and disorders (9 papers) and Cytomegalovirus and herpesvirus research (8 papers). The work is most often cited by research in Oncology (510 citations), Immunology (388 citations) and Epidemiology (600 citations). In-Jeong Kim has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Marcia A. Blackman, David L. Woodland, Emilio Flaño, J. Μ. Sharma, Dario A.A. Vignali, Creg J. Workman, Linda S. Cauley, Frank M. Szaba, Jr‐Shiuan Lin and Stephen J. Thomas. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.
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.