Yiting Yu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Hematology top 2%
- Acute Myeloid Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 13
- Cancer-related gene regulation 5
- Histone Deacetylase Inhibitors Research 4
- Kruppel-like factors research 3
- Hematology 19
- Acute Myeloid Leukemia Research 15
- Co-authors
- Amit Verma (34 shared papers)Tushar D. Bhagat (23 shared papers)John M. Greally (12 shared papers)Sanchari Bhattacharyya (7 shared papers)Ulrich Steidl (14 shared papers)Masako Suzuki (7 shared papers)Matthias Bartenstein (6 shared papers)Stephen J. Meltzer (2 shared papers)
- Journals
- Blood (16 papers)Oncotarget (3 papers)Cancer Research (3 papers)BMC Geriatrics (2 papers)Knowledge-Based Systems (2 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Yiting Yu
53 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 503
- Hematology 319
- Molecular Biology 1.2k
- Genetics 132
- Oncology 271
Countries citing papers authored by Yiting Yu
This map shows the geographic impact of Yiting Yu'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 Yiting Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiting Yu more than expected).
Fields of papers citing papers by Yiting Yu
This network shows the impact of papers produced by Yiting Yu. 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 Yiting Yu. The network helps show where Yiting Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiting Yu, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 193 | |
| 2 | 2013 | 183 | |
| 3 | 2015 | 174 | |
| 4 | 2008 | 169 | |
| 5 | 2015 | 147 | |
| 6 | 2014 | 136 | |
| 7 | 2015 | 82 | |
| 8 | 2010 | 77 | |
| 9 | 2013 | 71 | |
| 10 | 2012 | 70 | |
| 11 | 2012 | 63 | |
| 12 | 2009 | 59 | |
| 13 | 2008 | 58 | |
| 14 | 2014 | 56 | |
| 15 | 2015 | 55 | |
| 16 | 2013 | 54 | |
| 17 | 2008 | 53 | |
| 18 | 2015 | 52 | |
| 19 | 2014 | 50 | |
| 20 | 2017 | 48 |
About Yiting Yu
Yiting Yu is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Epidemiology, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Epigenetics and DNA Methylation (13 papers), Cancer-related gene regulation (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Kruppel-like factors research (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (503 citations), Hematology (319 citations), Molecular Biology (1.2k citations), Genetics (132 citations) and Oncology (271 citations). Yiting Yu has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Amit Verma, Tushar D. Bhagat, John M. Greally, Sanchari Bhattacharyya, Ulrich Steidl, Masako Suzuki, Matthias Bartenstein, Stephen J. Meltzer, Jee Hoon Song and Yulan Cheng. Their work appears in journals such as Blood, Oncotarget, Cancer Research, BMC Geriatrics and Knowledge-Based Systems.
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.