Ji Eun Jang
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
Papers in
- Hematology 32
- Acute Myeloid Leukemia Research 19
- Hematopoietic Stem Cell Transplantation 13
- Multiple Myeloma Research and Treatments 5
-
- Protein Degradation and Inhibitors 9
- Co-authors
- June‐Won Cheong (59 shared papers)Yoo Hong Min (52 shared papers)Jin Seok Kim (49 shared papers)Hoi-Kyung Jeung (13 shared papers)Soo‐Jeong Kim (42 shared papers)Jung Yeon Lee (15 shared papers)Haerim Chung (31 shared papers)Yu Ri Kim (24 shared papers)
- Journals
- Blood (14 papers)Annals of Hematology (7 papers)Cancer Research and Treatment (2 papers)PLoS ONE (2 papers)Journal of Korean Medical Science (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Ji Eun Jang
94 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 124
- Hematology 259
- Genetics 102
- Epidemiology 255
- Pathology and Forensic Medicine 106
- Neurology 84
Countries citing papers authored by Ji Eun Jang
This map shows the geographic impact of Ji Eun Jang'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 Jang 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 Jang more than expected).
Fields of papers citing papers by Ji Eun Jang
This network shows the impact of papers produced by Ji Eun Jang. 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 Jang. The network helps show where Ji Eun Jang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Eun Jang, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 108 | |
| 2 | 2012 | 78 | |
| 3 | 2015 | 72 | |
| 4 | 2023 | 61 | |
| 5 | 2017 | 56 | |
| 6 | 2020 | 46 | |
| 7 | 2014 | 44 | |
| 8 | 2024 | 35 | |
| 9 | 2018 | 33 | |
| 10 | 2020 | 31 | |
| 11 | 2016 | 29 | |
| 12 | 2022 | 28 | |
| 13 | 2013 | 26 | |
| 14 | 2015 | 26 | |
| 15 | 2011 | 25 | |
| 16 | 2017 | 24 | |
| 17 | 2020 | 23 | |
| 18 | 2014 | 22 | |
| 19 | 2018 | 19 | |
| 20 | 2017 | 17 |
About Ji Eun Jang
Ji Eun Jang is a scholar working on Hematology, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Immunology, having authored 104 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Hematopoietic Stem Cell Transplantation (13 papers), Lymphoma Diagnosis and Treatment (12 papers), Protein Degradation and Inhibitors (9 papers), CNS Lymphoma Diagnosis and Treatment (7 papers), Immune Cell Function and Interaction (7 papers), Multiple Myeloma Research and Treatments (5 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Hematology (259 citations), Genetics (102 citations), Epidemiology (255 citations), Pathology and Forensic Medicine (106 citations) and Neurology (84 citations). Ji Eun Jang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include June‐Won Cheong, Yoo Hong Min, Jin Seok Kim, Hoi-Kyung Jeung, Soo‐Jeong Kim, Jung Yeon Lee, Haerim Chung, Yu Ri Kim, Yundeok Kim and Shin Young Hyun. Their work appears in journals such as Blood, Annals of Hematology, Cancer Research and Treatment, PLoS ONE and Journal of Korean Medical Science.
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.