Mi Kwon
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 5%
Papers in
- Hematology 63
- Hematopoietic Stem Cell Transplantation 51
- Acute Myeloid Leukemia Research 18
- Oncology 39
- CAR-T cell therapy research 20
- Viral-associated cancers and disorders 9
- Co-authors
- José L. Díez‐Martín (76 shared papers)Ismael Buño (47 shared papers)Javier Anguita (51 shared papers)Pascual Balsalobre (33 shared papers)Carolina Martínez‐Laperche (40 shared papers)David Serrano (32 shared papers)Jorge Gayoso (29 shared papers)Rebeca Bailén (40 shared papers)
- Journals
- Blood (25 papers)Bone Marrow Transplantation (8 papers)Biology of Blood and Marrow Transplantation (8 papers)Frontiers in Immunology (6 papers)Transplantation and Cellular Therapy (4 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Mi Kwon
105 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 72
- Hematology 542
- Transplantation 50
- Oncology 350
- Immunology 191
- Virology 40
Countries citing papers authored by Mi Kwon
This map shows the geographic impact of Mi Kwon'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 Mi Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Kwon more than expected).
Fields of papers citing papers by Mi Kwon
This network shows the impact of papers produced by Mi Kwon. 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 Mi Kwon. The network helps show where Mi Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi Kwon, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 89 | |
| 2 | 2021 | 86 | |
| 3 | 2012 | 60 | |
| 4 | 2014 | 55 | |
| 5 | 2018 | 45 | |
| 6 | 2021 | 45 | |
| 7 | 2014 | 35 | |
| 8 | 2018 | 34 | |
| 9 | 2022 | 29 | |
| 10 | 2019 | 25 | |
| 11 | 2018 | 24 | |
| 12 | 2012 | 24 | |
| 13 | 2016 | 24 | |
| 14 | 2014 | 24 | |
| 15 | 2020 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2023 | 21 | |
| 19 | 2021 | 21 | |
| 20 | 2020 | 20 |
About Mi Kwon
Mi Kwon is a scholar working on Hematology, Oncology, Public Health, Environmental and Occupational Health, Genetics and Immunology, having authored 114 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (51 papers), CAR-T cell therapy research (20 papers), Acute Lymphoblastic Leukemia research (18 papers), Acute Myeloid Leukemia Research (18 papers), Lymphoma Diagnosis and Treatment (11 papers), Immune Cell Function and Interaction (10 papers), Viral-associated cancers and disorders (9 papers) and Mesenchymal stem cell research (8 papers). The work is most often cited by research in Hematology (542 citations), Transplantation (50 citations), Oncology (350 citations), Immunology (191 citations) and Virology (40 citations). Mi Kwon has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include José L. Díez‐Martín, Ismael Buño, Javier Anguita, Pascual Balsalobre, Carolina Martínez‐Laperche, David Serrano, Jorge Gayoso, Rebeca Bailén, Ana Pérez‐Corral and Nieves Dorado. Their work appears in journals such as Blood, Bone Marrow Transplantation, Biology of Blood and Marrow Transplantation, Frontiers in Immunology and Transplantation and Cellular Therapy.
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.