Feng‐Chun Yang
- Hematology top 0.5%
- Acute Myeloid Leukemia Research 32
- Hematopoietic Stem Cell Transplantation 15
- Genetics top 1%
- Neurology top 1%
- Neurofibromatosis and Schwannoma Cases 27
- Immunology top 2%
- Molecular Biology top 2%
- Epigenetics and DNA Methylation 12
- DNA Repair Mechanisms 8
- Bone Metabolism and Diseases 8
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- Sarcoma Diagnosis and Treatment 10
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- Bone Tumor Diagnosis and Treatments 9
- Co-authors
- Mingjiang XuD. Wade ClappKarl StaserDavid A. WilliamsJin YuanDavid A. IngramChen‐Leng CaiJiapeng Wang
- Cited by
- HematologyGeneticsNeurology
- Journals
- Blood (31 papers)Human Molecular Genetics (6 papers)Journal of Clinical Investigation (6 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Feng‐Chun Yang
129 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Hematology 1.2k
- Genetics 764
- Neurology 1.1k
- Immunology 1.1k
- Molecular Biology 2.8k
Countries citing papers authored by Feng‐Chun Yang
This map shows the geographic impact of Feng‐Chun 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 Feng‐Chun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng‐Chun Yang more than expected).
Fields of papers citing papers by Feng‐Chun Yang
This network shows the impact of papers produced by Feng‐Chun 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 Feng‐Chun Yang. The network helps show where Feng‐Chun Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng‐Chun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 14 | |
| 3 | 2021 | 9 | |
| 4 | 2018 | 18 | |
| 5 | Lycium barbarum polysaccharide prevents cisplatin-induced MLTC-1 cell apoptosis and autophagy via regulating endoplasmic reticulum stress pathway | 2018 | 0 |
| 6 | 2018 | 7 | |
| 7 | 2017 | 35 | |
| 8 | 2017 | 35 | |
| 9 | 2016 | 14 | |
| 10 | Interleukin 8/KC enhances G-CSF induced hematopoietic stem/progenitor cell mobilization in Fancg deficient mice | 2014 | 2 |
| 11 | 2013 | 44 | |
| 12 | 2012 | 16 | |
| 13 | 2011 | 19 | |
| 14 | 2010 | 36 | |
| 15 | 2008 | 4 | |
| 16 | 2008 | 222 | |
| 17 | 2007 | 28 | |
| 18 | 2006 | 99 | |
| 19 | 2006 | 123 | |
| 20 | 2002 | 104 |
About Feng‐Chun Yang
Feng‐Chun Yang is a scholar working on Hematology, Neurology and Genetics, having authored 131 papers that have together received 5.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (32 papers), Neurofibromatosis and Schwannoma Cases (27 papers), Hematopoietic Stem Cell Transplantation (15 papers), Epigenetics and DNA Methylation (12 papers), Sarcoma Diagnosis and Treatment (10 papers), Bone Tumor Diagnosis and Treatments (9 papers), DNA Repair Mechanisms (8 papers) and Bone Metabolism and Diseases (8 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (764 citations) and Neurology (1.1k citations). Feng‐Chun Yang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Mingjiang Xu, D. Wade Clapp, Karl Staser, David A. Williams, Jin Yuan, David A. Ingram, Chen‐Leng Cai, Jiapeng Wang, Bruce Petersen and Zhe Li. Their work appears in journals such as Blood, Human Molecular Genetics, Journal of Clinical Investigation, PLoS ONE and Experimental Hematology.
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.