Jae‐Cheol Jo
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 50
- Viral-associated cancers and disorders 19
- Hematology 44
- Multiple Myeloma Research and Treatments 27
- Acute Myeloid Leukemia Research 13
- Hematopoietic Stem Cell Transplantation 11
- Chronic Myeloid Leukemia Treatments 10
- Co-authors
- Yunsuk Choi (36 shared papers)Hawk Kim (22 shared papers)Cheolwon Suh (29 shared papers)Eui‐Kyu Noh (16 shared papers)Young Joo Min (18 shared papers)Sook‐Kyoung Heo (15 shared papers)Su‐Jin Koh (18 shared papers)Dok Hyun Yoon (26 shared papers)
- Journals
- Annals of Hematology (16 papers)Blood (13 papers)PLoS ONE (6 papers)International Journal of Hematology (6 papers)Scientific Reports (5 papers)
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
Jae‐Cheol Jo
126 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Hematology 344
- Pathology and Forensic Medicine 437
- Oncology 541
- Genetics 185
- Immunology 193
Countries citing papers authored by Jae‐Cheol Jo
This map shows the geographic impact of Jae‐Cheol Jo'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 Jae‐Cheol Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Cheol Jo more than expected).
Fields of papers citing papers by Jae‐Cheol Jo
This network shows the impact of papers produced by Jae‐Cheol Jo. 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 Jae‐Cheol Jo. The network helps show where Jae‐Cheol Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae‐Cheol Jo, 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 85 | |
| 2 | 2013 | 80 | |
| 3 | 2015 | 72 | |
| 4 | 2007 | 62 | |
| 5 | 2014 | 60 | |
| 6 | 2017 | 53 | |
| 7 | 2019 | 51 | |
| 8 | 2012 | 46 | |
| 9 | 2020 | 34 | |
| 10 | 2007 | 33 | |
| 11 | 2017 | 30 | |
| 12 | 2012 | 30 | |
| 13 | 2014 | 28 | |
| 14 | 2020 | 25 | |
| 15 | 2013 | 24 | |
| 16 | 2014 | 24 | |
| 17 | 2015 | 23 | |
| 18 | 2015 | 22 | |
| 19 | 2014 | 21 | |
| 20 | 2015 | 20 |
About Jae‐Cheol Jo
Jae‐Cheol Jo is a scholar working on Oncology, Hematology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 136 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (40 papers), Multiple Myeloma Research and Treatments (27 papers), Viral-associated cancers and disorders (19 papers), Acute Myeloid Leukemia Research (13 papers), Hematopoietic Stem Cell Transplantation (11 papers), Chronic Myeloid Leukemia Treatments (10 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Protein Degradation and Inhibitors (9 papers). The work is most often cited by research in Hematology (344 citations), Pathology and Forensic Medicine (437 citations), Oncology (541 citations), Genetics (185 citations) and Immunology (193 citations). Jae‐Cheol Jo has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Yunsuk Choi, Hawk Kim, Cheolwon Suh, Eui‐Kyu Noh, Young Joo Min, Sook‐Kyoung Heo, Su‐Jin Koh, Dok Hyun Yoon, Jin Ho Baek and Yoo Jin Lee. Their work appears in journals such as Annals of Hematology, Blood, PLoS ONE, International Journal of Hematology and Scientific Reports.
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.