Jun Ho Jang
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Catalysis top 2%
- Ammonia Synthesis and Nitrogen Reduction
- Ionic liquids properties and applications
Papers in
- Hematology 99
- Acute Myeloid Leukemia Research 44
- Hematopoietic Stem Cell Transplantation 22
- Blood groups and transfusion 22
- Platelet Disorders and Treatments 18
- Multiple Myeloma Research and Treatments 14
- Genetics 39
- Myeloproliferative Neoplasms: Diagnosis and Treatment 14
- Co-authors
- Ki Tae NamChul Won JungKihyun KımMani BalamuruganSeok Jin KimSang Won ImWon Seog KimSilvia Park
- Journals
- Blood (36 papers)International Journal of Hematology (8 papers)Journal of Clinical Oncology (8 papers)Annals of Hematology (8 papers)Journal of Korean Medical Science (5 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jun Ho Jang
171 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 136
- Hematology 953
- Catalysis 418
- Process Chemistry and Technology 146
- Genetics 384
- Nephrology 250
Countries citing papers authored by Jun Ho Jang
This map shows the geographic impact of Jun Ho 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 Jun Ho Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ho Jang more than expected).
Fields of papers citing papers by Jun Ho Jang
This network shows the impact of papers produced by Jun Ho 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 Jun Ho Jang. The network helps show where Jun Ho Jang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Ho 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 3 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 0 | |
| 16 | 2017 | 3 | |
| 17 | 2016 | 56 | |
| 18 | 2013 | 1 | |
| 19 | 2009 | 31 | |
| 20 | Antibacterial Sulfated Alkene from a Tunicate, Styela clava | 2007 | 1 |
About Jun Ho Jang
Jun Ho Jang is a scholar working on Hematology, Genetics, Process Chemistry and Technology, Transplantation and Catalysis, having authored 186 papers that have together received 2.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (44 papers), Complement system in diseases (29 papers), Hematopoietic Stem Cell Transplantation (22 papers), Blood groups and transfusion (22 papers), Platelet Disorders and Treatments (18 papers), CO2 Reduction Techniques and Catalysts (15 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers) and Multiple Myeloma Research and Treatments (14 papers). The work is most often cited by research in Hematology (953 citations), Catalysis (418 citations), Process Chemistry and Technology (146 citations), Genetics (384 citations) and Nephrology (250 citations). Jun Ho Jang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ki Tae Nam, Chul Won Jung, Kihyun Kım, Mani Balamurugan, Seok Jin Kim, Sang Won Im, Won Seog Kim, Silvia Park, Jong Wook Lee and Jin Seok Kim. Their work appears in journals such as Blood, International Journal of Hematology, Journal of Clinical Oncology, Annals of Hematology 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.