Ji Eun Kim
- Oncology top 2%
- Molecular Biology top 10%
- Rheumatology top 1%
- Pathology and Forensic Medicine top 2%
- Genetics top 2%
- Co-authors
- Sohee OhChris Hyunchul JoKang Sup YoonYoon Kyung JeonJee Won ChaiWon Hyoung ShinHyang KimIl Seob Shin
- Topics
- Lymphoma Diagnosis and Treatment (26 papers)Viral-associated cancers and disorders (17 papers)Histiocytic Disorders and Treatments (7 papers)
- Cited by
- GeneticsUrologyRheumatology
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Ji Eun Kim
128 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Oncology 1.0k
- Molecular Biology 955
- Rheumatology 692
- Pathology and Forensic Medicine 635
- Genetics 566
Countries citing papers authored by Ji Eun Kim
This map shows the geographic impact of Ji Eun 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 Ji Eun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Eun Kim more than expected).
Fields of papers citing papers by Ji Eun Kim
This network shows the impact of papers produced by Ji Eun 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 Ji Eun Kim. The network helps show where Ji Eun Kim may publish in the future.
Co-authorship network of co-authors of Ji Eun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Ji Eun Kim. A scholar is included among the top collaborators of Ji Eun 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 Ji Eun Kim. Ji Eun 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 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 24 | |
| 13 | 4 | |
| 14 | 24 | |
| 15 | Expression of excision repair cross-complementation group 1(ERCC1), ribonucleotide reductase M1 (RRM1) and class III beta-tubulin in head and neck carcinoma and its clinical significance | 1 |
| 16 | 64 | |
| 17 | γ-Secretase 활성억제단백질인 TMP21의 과발현이 신경세포주에서 NGF 수용체 신호전달과 정에 미치는 영향 | 4 |
| 18 | 11 | |
| 19 | Availability of Volume Guaranteed Ventilation in Very Low Birth Weight Infants. | 0 |
| 20 | Diagnostic Efficacy of the Risk of Malignancy Index in Early Detection of Ovarian Cancer. | 1 |
About Ji Eun Kim
Ji Eun Kim is a scholar working on Oncology, Pathology and Forensic Medicine and Dermatology, having authored 137 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (26 papers), Viral-associated cancers and disorders (17 papers) and Histiocytic Disorders and Treatments (7 papers). The work is most often cited by research in Genetics (566 citations), Urology (339 citations) and Rheumatology (692 citations). Ji Eun Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sohee Oh, Chris Hyunchul Jo, Kang Sup Yoon, Yoon Kyung Jeon, Jee Won Chai, Won Hyoung Shin, Hyang Kim, Il Seob Shin, Ji Sun Shin and Jeong Chan. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.
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.