Yi Ning
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Aging top 2%
Papers in
-
- Protein Degradation and Inhibitors 7
- Hematology 29
- Acute Myeloid Leukemia Research 23
- Multiple Myeloma Research and Treatments 8
- Chronic Myeloid Leukemia Treatments 6
- Co-authors
- Olivia M. Pereira‐Smith (4 shared papers)James R. Smith (1 shared paper)Susan Venable (1 shared paper)Asao Noda (1 shared paper)Bing Huang (3 shared papers)James Bartley (3 shared papers)Allen N. Lamb (3 shared papers)Shengbiao Wang (1 shared paper)
- Journals
- Blood (5 papers)British Journal of Haematology (4 papers)Leukemia Research (4 papers)Prenatal Diagnosis (3 papers)Best Practice & Research Clinical Haematology (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Yi Ning
67 papers receiving 2.8k citations
Yi Ning's Hit Papers
Peers
Comparison fields: 5 of 125
- Hematology 690
- Aging 91
- Oncology 985
- Molecular Biology 1.8k
- Biotechnology 192
Countries citing papers authored by Yi Ning
This map shows the geographic impact of Yi Ning'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 Yi Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Ning more than expected).
Fields of papers citing papers by Yi Ning
This network shows the impact of papers produced by Yi Ning. 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 Yi Ning. The network helps show where Yi Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Ning, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cloning of Senescent Cell-Derived Inhibitors of DNA Synthesis Using an Expression Screen Hit paper breakdown → | 1994 | 1223 |
| 2 | 1999 | 320 | |
| 3 | 2006 | 264 | |
| 4 | 1998 | 118 | |
| 5 | 2007 | 99 | |
| 6 | 2006 | 70 | |
| 7 | 2014 | 63 | |
| 8 | 1995 | 54 | |
| 9 | 2004 | 46 | |
| 10 | 2021 | 43 | |
| 11 | 2007 | 40 | |
| 12 | 2003 | 39 | |
| 13 | 2020 | 34 | |
| 14 | 2011 | 32 | |
| 15 | 2011 | 31 | |
| 16 | 2013 | 31 | |
| 17 | 1998 | 30 | |
| 18 | 2006 | 29 | |
| 19 | 2018 | 25 | |
| 20 | 2023 | 25 |
About Yi Ning
Yi Ning is a scholar working on Molecular Biology, Hematology, Genetics, Genetics and Public Health, Environmental and Occupational Health, having authored 71 papers that have together received 3.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (23 papers), Genomic variations and chromosomal abnormalities (11 papers), Acute Lymphoblastic Leukemia research (10 papers), Multiple Myeloma Research and Treatments (8 papers), Chronic Lymphocytic Leukemia Research (8 papers), Protein Degradation and Inhibitors (7 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Prenatal Screening and Diagnostics (6 papers). The work is most often cited by research in Hematology (690 citations), Aging (91 citations), Oncology (985 citations), Molecular Biology (1.8k citations) and Biotechnology (192 citations). Yi Ning has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Olivia M. Pereira‐Smith, James R. Smith, Susan Venable, Asao Noda, Bing Huang, James Bartley, Allen N. Lamb, Shengbiao Wang, Maria R. Baer and Ivana Gojo. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia Research, Prenatal Diagnosis and Best Practice & Research Clinical Haematology.
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.