John Yin
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 2
- Chronic Myeloid Leukemia Treatments 2
-
- Protein Degradation and Inhibitors 1
- Co-authors
- Nigel H. Russell (9 shared papers)Robert K. Hills (7 shared papers)Alan K. Burnett (6 shared papers)Donald Milligan (5 shared papers)Keith Wheatley (4 shared papers)Charles Craddock (3 shared papers)Ann E. Hunter (3 shared papers)Jonathan Kell (2 shared papers)
- Journals
- Blood (7 papers)Journal of Clinical Oncology (3 papers)Research in Number Theory (1 paper)Frontiers in Molecular Biosciences (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
John Yin
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Hematology 899
- Genetics 155
- Public Health, Environmental and Occupational Health 337
- Oncology 211
- Immunology 136
Countries citing papers authored by John Yin
This map shows the geographic impact of John Yin'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 Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Yin more than expected).
Fields of papers citing papers by John Yin
This network shows the impact of papers produced by John Yin. 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 Yin. The network helps show where John Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside John Yin, 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 | 2012 | 301 | |
| 2 | 2012 | 293 | |
| 3 | 2013 | 141 | |
| 4 | 2010 | 125 | |
| 5 | 2013 | 99 | |
| 6 | 2019 | 50 | |
| 7 | 2006 | 26 | |
| 8 | 1983 | 21 | |
| 9 | A Transport Framework for Distributed Brokering Systems | 2003 | 9 |
| 10 | 2006 | 7 | |
| 11 | 2013 | 5 | |
| 12 | 2010 | 5 | |
| 13 | 2011 | 1 | |
| 14 | 2005 | 1 | |
| 15 | 2022 | 0 | |
| 16 | 2022 | 0 |
About John Yin
John Yin is a scholar working on Hematology, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Oncology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Acute Lymphoblastic Leukemia research (6 papers), Hematopoietic Stem Cell Transplantation (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Pancreatic function and diabetes (1 paper), Protein Degradation and Inhibitors (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Hematology (899 citations), Genetics (155 citations), Public Health, Environmental and Occupational Health (337 citations), Oncology (211 citations) and Immunology (136 citations). John Yin has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Nigel H. Russell, Robert K. Hills, Alan K. Burnett, Donald Milligan, Keith Wheatley, Charles Craddock, Ann E. Hunter, Jonathan Kell, Inge Høgh Dufva and Sylvie Freeman. Their work appears in journals such as Blood, Journal of Clinical Oncology, Research in Number Theory, Frontiers in Molecular Biosciences and PLoS Computational Biology.
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.