John Yang
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Immunology 32
- T-cell and B-cell Immunology 27
- Immune Cell Function and Interaction 24
- Immunotherapy and Immune Responses 12
- Hematology 18
- Blood groups and transfusion 9
- Acute Myeloid Leukemia Research 6
- Co-authors
- Heung‐Bum Oh (41 shared papers)Hee Joo Lee (9 shared papers)Jing Wang (1 shared paper)Rachel Soemedi (1 shared paper)Jamie McDonald (1 shared paper)Christy L. Rhine (1 shared paper)William G. Fairbrother (1 shared paper)Pınar Bayrak‐Toydemir (1 shared paper)
- Journals
- HLA (24 papers)Acta Haematologica (4 papers)Annals of Laboratory Medicine (4 papers)Transplant Immunology (2 papers)American Journal of Clinical Pathology (2 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
John Yang
80 papers receiving 646 citations
Peers
Comparison fields: 5 of 89
- Hematology 101
- Genetics 79
- Transplantation 11
- Molecular Biology 266
- Immunology 70
Countries citing papers authored by John Yang
This map shows the geographic impact of John Yang'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 John Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Yang more than expected).
Fields of papers citing papers by John Yang
This network shows the impact of papers produced by John Yang. 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 John Yang. The network helps show where John Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside John Yang, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 1999 | 78 | |
| 3 | 2012 | 77 | |
| 4 | 2012 | 34 | |
| 5 | 2016 | 30 | |
| 6 | 2015 | 28 | |
| 7 | 2016 | 24 | |
| 8 | 2015 | 22 | |
| 9 | 2013 | 19 | |
| 10 | 2020 | 13 | |
| 11 | 2014 | 11 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2020 | 7 | |
| 15 | Comparison of two molecular methods for detecting toxigenic Clostridium difficile. | 2014 | 7 |
| 16 | 2012 | 7 | |
| 17 | 2012 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2010 | 5 | |
| 20 | 2012 | 5 |
About John Yang
John Yang is a scholar working on Immunology, Hematology, Molecular Biology, Transplantation and Infectious Diseases, having authored 89 papers that have together received 658 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (24 papers), Immunotherapy and Immune Responses (12 papers), Renal Transplantation Outcomes and Treatments (11 papers), Blood groups and transfusion (9 papers), Acute Myeloid Leukemia Research (6 papers), Blood transfusion and management (4 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Hematology (101 citations), Genetics (79 citations), Transplantation (11 citations), Molecular Biology (266 citations) and Immunology (70 citations). John Yang has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Heung‐Bum Oh, Hee Joo Lee, Jing Wang, Rachel Soemedi, Jamie McDonald, Christy L. Rhine, William G. Fairbrother, Pınar Bayrak‐Toydemir, Kamil J. Cygan and Sun Young Cho. Their work appears in journals such as HLA, Acta Haematologica, Annals of Laboratory Medicine, Transplant Immunology and American Journal of Clinical Pathology.
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.