Hyeon‐Seok Eom
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
-
- Lymphoma Diagnosis and Treatment
Papers in
- Hematology 59
- Multiple Myeloma Research and Treatments 42
- Hematopoietic Stem Cell Transplantation 13
- Oncology 48
- Viral-associated cancers and disorders 14
- CAR-T cell therapy research 10
- Co-authors
- Sun‐Young Kong (27 shared papers)Cheolwon Suh (33 shared papers)Hyewon Lee (20 shared papers)Jin Seok Kim (33 shared papers)Seok Jin Kim (23 shared papers)Eunyoung Lee (16 shared papers)Hye Jin Kang (20 shared papers)Dok Hyun Yoon (23 shared papers)
- Journals
- Blood (21 papers)Annals of Hematology (14 papers)Annals of Oncology (6 papers)International Journal of Hematology (6 papers)Cancer Research and Treatment (5 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Hyeon‐Seok Eom
127 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Hematology 498
- Pathology and Forensic Medicine 637
- Oncology 736
- Genetics 242
- Immunology 370
Countries citing papers authored by Hyeon‐Seok Eom
This map shows the geographic impact of Hyeon‐Seok Eom'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 Hyeon‐Seok Eom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyeon‐Seok Eom more than expected).
Fields of papers citing papers by Hyeon‐Seok Eom
This network shows the impact of papers produced by Hyeon‐Seok Eom. 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 Hyeon‐Seok Eom. The network helps show where Hyeon‐Seok Eom may publish in the future.
Co-authors
The 25 scholars most cited alongside Hyeon‐Seok Eom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 103 | |
| 2 | 2015 | 101 | |
| 3 | 2006 | 82 | |
| 4 | 2014 | 78 | |
| 5 | 2012 | 63 | |
| 6 | 2008 | 60 | |
| 7 | 2013 | 59 | |
| 8 | 2016 | 48 | |
| 9 | 2011 | 47 | |
| 10 | 2017 | 47 | |
| 11 | 2015 | 45 | |
| 12 | 2006 | 44 | |
| 13 | 2016 | 42 | |
| 14 | 2024 | 41 | |
| 15 | 2010 | 41 | |
| 16 | 2010 | 37 | |
| 17 | 2019 | 35 | |
| 18 | 2011 | 30 | |
| 19 | 2022 | 30 | |
| 20 | 2008 | 28 |
About Hyeon‐Seok Eom
Hyeon‐Seok Eom is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Molecular Biology and Immunology, having authored 135 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (44 papers), Multiple Myeloma Research and Treatments (42 papers), Protein Degradation and Inhibitors (18 papers), Viral-associated cancers and disorders (14 papers), Hematopoietic Stem Cell Transplantation (13 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), CAR-T cell therapy research (10 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Hematology (498 citations), Pathology and Forensic Medicine (637 citations), Oncology (736 citations), Genetics (242 citations) and Immunology (370 citations). Hyeon‐Seok Eom has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Sun‐Young Kong, Cheolwon Suh, Hyewon Lee, Jin Seok Kim, Seok Jin Kim, Eunyoung Lee, Hye Jin Kang, Dok Hyun Yoon, Won Seog Kim and Weon Seo Park. Their work appears in journals such as Blood, Annals of Hematology, Annals of Oncology, International Journal of Hematology and Cancer Research and Treatment.
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.