Eun Young Song
- Molecular Biology top 10%
- Immunology top 5%
- Epidemiology top 5%
- Oncology top 5%
- Surgery top 10%
- Co-authors
- Eun Youn RohHee Gu LeeSue ShinJeansok J. KimJae Wha KimTherese A. KostenMyoung Hee ParkJong Hyun Yoon
- Topics
- Renal Transplantation Outcomes and Treatments (28 papers)Immune Cell Function and Interaction (23 papers)T-cell and B-cell Immunology (21 papers)
- Cited by
- TransplantationImmunologyHematology
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Eun Young Song
204 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 157
- Molecular Biology 1.0k
- Immunology 779
- Epidemiology 548
- Oncology 470
- Surgery 444
Countries citing papers authored by Eun Young Song
This map shows the geographic impact of Eun Young Song'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 Eun Young Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun Young Song more than expected).
Fields of papers citing papers by Eun Young Song
This network shows the impact of papers produced by Eun Young Song. 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 Eun Young Song. The network helps show where Eun Young Song may publish in the future.
Co-authorship network of co-authors of Eun Young Song
This figure shows the co-authorship network connecting the top 25 collaborators of Eun Young Song. A scholar is included among the top collaborators of Eun Young Song 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 Eun Young Song. Eun Young Song 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 33 | |
| 10 | 17 | |
| 11 | 109 | |
| 12 | 8 | |
| 13 | Cancer biomarkers in 'omics age | 3 |
| 14 | Analysis of Mycoplasma Contamination in Donated Cord Blood Units | 1 |
| 15 | A Living Donor Liver Transplantation after Therapeutic Plasmapheresis in a Patient with Positive HLA Crossmatch | 1 |
| 16 | ABO Genotyping by Pyrosequencing Analysis | 1 |
| 17 | The Frequency of Unexpected Antibodies in Blood Donors and Transfusion Candidates in Korea | 11 |
| 18 | A Case of Neonatal Alloimmune Thrombocytopenia due to Anti-HLA B62+B75 | 1 |
| 19 | Characterization of a Cell Line HFH-T2, Producing Viral Particles, from Primary Human Fetal Hepatocytes Infected with Hepatitis B Virus | 7 |
| 20 | Analysis of antibodies causing hemolytic disease of the newborn | 3 |
About Eun Young Song
Eun Young Song is a scholar working on Transplantation, Hematology and Immunology, having authored 211 papers that have together received 3.8k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (28 papers), Immune Cell Function and Interaction (23 papers) and T-cell and B-cell Immunology (21 papers). The work is most often cited by research in Transplantation (255 citations), Immunology (779 citations) and Hematology (387 citations). Eun Young Song has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Eun Youn Roh, Hee Gu Lee, Sue Shin, Jeansok J. Kim, Jae Wha Kim, Therese A. Kosten, Myoung Hee Park, Jong Hyun Yoon, Kyoung Un Park and Young Il Yeom. Their work appears in journals such as Journal of Clinical Oncology, Blood and Nature Neuroscience.
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.